@article{MTMT:33768622,
	title = {Parallel functional architectures within a single dendritic tree},
	url = {https://m2.mtmt.hu/api/publication/33768622},
	author = {Kim, Young Joon and Ujfalussy, Balázs Benedek and Lengyel, Máté},
	doi = {10.1016/j.celrep.2023.112386},
	journal-iso = {CELL REP},
	journal = {CELL REPORTS},
	volume = {42},
	unique-id = {33768622},
	issn = {2211-1247},
	keywords = {dendritic spikes; deep neural network; dendritic integration; NMDA channels; cascade model; biophysical model; Cascaded models; dendritic Na+ channels; dynamic subunits; action potential timing; subthreshold fluctuations},
	year = {2023},
	eissn = {2211-1247},
	orcid-numbers = {Kim, Young Joon/0000-0002-9106-6077; Ujfalussy, Balázs Benedek/0000-0002-2295-3828; Lengyel, Máté/0000-0001-7266-0049}
}

@article{MTMT:34038541,
	title = {Learning to predict future locations with internally generated theta sequences},
	url = {https://m2.mtmt.hu/api/publication/34038541},
	author = {Parra-Barrero, Eloy J. and Cheng, Sen},
	doi = {10.1371/journal.pcbi.1011101},
	journal-iso = {PLOS COMPUT BIOL},
	journal = {PLOS COMPUTATIONAL BIOLOGY},
	volume = {19},
	unique-id = {34038541},
	issn = {1553-734X},
	abstract = {Representing past, present and future locations is key for spatial navigation. Indeed, within each cycle of the theta oscillation, the population of hippocampal place cells appears to represent trajectories starting behind the current position of the animal and sweeping ahead of it. In particular, we reported recently that the position represented by CA1 place cells at a given theta phase corresponds to the location where animals were or will be located at a fixed time interval into the past or future assuming the animal ran at its typical, not the current, speed through that part of the environment. This coding scheme leads to longer theta trajectories, larger place fields and shallower phase precession in areas where animals typically run faster. Here we present a mechanistic computational model that accounts for these experimental observations. The model consists of a continuous attractor network with short-term synaptic facilitation and depression that internally generates theta sequences that advance at a fixed pace. Spatial locations are then mapped onto the active units via modified Hebbian plasticity. As a result, neighboring units become associated with spatial locations further apart where animals run faster, reproducing our earlier experimental results. The model also accounts for the higher density of place fields generally observed where animals slow down, such as around rewards. Furthermore, our modeling results reveal that an artifact of the decoding analysis might be partly responsible for the observation that theta trajectories start behind the animal's current position. Overall, our results shed light on how the hippocampal code might arise from the interplay between behavior, sensory input and predefined network dynamics. Author summaryTo navigate in space we need to know where we are, but also where we are going and, possibly, where we are coming from. In mammals, including humans, this might rely on the hippocampal theta phase code, where in each cycle of the theta oscillation, spatial representations appear to start behind the animal's location and then sweep forward. Previously, we showed that these sweeps extend to the locations that were or will be reached at fixed time intervals in the past or future, but assuming the animal ran at its typical speed through each portion of the environment. Here, we present a computational model that can account for these effects, as well as for the over-representation of reward zones in the hippocampal code. The model uses preconfigured neural sequences in the hippocampus to learn sequences of spatial inputs, a mechanism which is supported by experimental findings. Similar mechanisms have been proposed to underlie the encoding of episodic memories. Our work might therefore help reconcile the prominence of spatial representations in the hippocampus with its well-known function in episodic memory.},
	keywords = {POPULATION; DYNAMICS; TIME; PLASTICITY; EXPERIENCE; OSCILLATIONS; PHASE-PRECESSION; Grid cells; Biochemical Research Methods; HIPPOCAMPAL PLACE CELLS},
	year = {2023},
	eissn = {1553-7358},
	orcid-numbers = {Parra-Barrero, Eloy J./0000-0001-5702-4466; Cheng, Sen/0000-0002-6719-8029}
}

@inproceedings{MTMT:34221268,
	title = {Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells},
	url = {https://m2.mtmt.hu/api/publication/34221268},
	author = {Chu, T. and Ji, Z. and Zuo, J. and Zhang, W.-H. and Huang, T. and Mi, Y. and Wu, S.},
	booktitle = {36th Conference on Neural Information Processing Systems, NeurIPS 2022},
	volume = {35},
	unique-id = {34221268},
	year = {2022},
	pages = {1-14}
}

@{MTMT:34030801,
	title = {Computational Neuroscience: Hippocampus},
	url = {https://m2.mtmt.hu/api/publication/34030801},
	author = {Hasselmo, M.E. and Hinman, J.R.},
	booktitle = {Neuroscience in the 21st Century: From Basic to Clinical: Third Edition},
	doi = {10.1007/978-3-030-88832-9_175},
	unique-id = {34030801},
	abstract = {Extensive computational neuroscience research has addressed the functional role of the hippocampus and associated cortical structures. In this field, computational models of the hippocampus have simulated physiological phenomena ranging from single cell membrane potential dynamics to the spiking activity of neurons relative to network field potential oscillations. Other models have focused on simulating specific behavioral functions of the hippocampus including episodic memory, classical conditioning, and spatial memory. Starting with influential papers by Marr and by McNaughton and Morris, many studies have focused on basic functions of hippocampus including pattern separation in the dentate gyrus and pattern completion in region CA3. This theoretical framework has been the focus of a number of experimental tests over the years, including neurophysiological studies of patterns of neuronal activity in behaving rats. Research has also addressed network dynamics in the hippocampus including theta rhythm oscillations, theta phase precession, and the patterns of grid cell firing in entorhinal cortex. © Springer Science+Business Media New York 2013, 2016 and Springer Nature Switzerland AG 2022.},
	keywords = {Theta rhythm; LONG-TERM POTENTIATION; PLACE CELLS; PYRAMIDAL CELLS; ENTORHINAL CORTEX; MEDIAL SEPTUM; spatial memory; dentate gyrus; episodic memory; Local field potentials; Grid cells; trace conditioning; Region CA3; Theta phase precession; piking activity; Region CA1},
	year = {2022},
	pages = {3489-3503}
}

@article{MTMT:33011479,
	title = {Learning Spatiotemporal Properties of Hippocampal Place Cells},
	url = {https://m2.mtmt.hu/api/publication/33011479},
	author = {Lian, Y. and Burkitt, A.N.},
	doi = {10.1523/ENEURO.0519-21.2022},
	journal-iso = {ENEURO},
	journal = {ENEURO},
	volume = {9},
	unique-id = {33011479},
	year = {2022},
	eissn = {2373-2822}
}

@article{MTMT:32833407,
	title = {Challenges for Place and Grid Cell Models},
	url = {https://m2.mtmt.hu/api/publication/32833407},
	author = {Soldatkina, O. and Schönsberg, F. and Treves, A.},
	doi = {10.1007/978-3-030-89439-9_12},
	journal-iso = {ADV EXP MED BIOL},
	journal = {ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY},
	volume = {1359},
	unique-id = {32833407},
	issn = {0065-2598},
	year = {2022},
	eissn = {2214-8019},
	pages = {285-312}
}

@article{MTMT:32181174,
	title = {Spectrum Degradation of Hippocampal LFP During Euthanasia},
	url = {https://m2.mtmt.hu/api/publication/32181174},
	author = {Zhou, YC and Sheremet, A and Kennedy, JP and DiCola, NM and Maciel, CB and Burke, SN and Maurer, AP},
	doi = {10.3389/fnsys.2021.647011},
	journal-iso = {FRONT SYST NEUROSCI},
	journal = {FRONTIERS IN SYSTEMS NEUROSCIENCE},
	volume = {15},
	unique-id = {32181174},
	year = {2021},
	eissn = {1662-5137}
}

@article{MTMT:33621607,
	title = {Place cell firing cannot support navigation without intact septal circuits},
	url = {https://m2.mtmt.hu/api/publication/33621607},
	author = {Bolding, K.A. and Ferbinteanu, J. and Fox, S.E. and Muller, R.U.},
	doi = {10.1002/hipo.23136},
	journal-iso = {HIPPOCAMPUS},
	journal = {HIPPOCAMPUS},
	volume = {30},
	unique-id = {33621607},
	issn = {1050-9631},
	year = {2020},
	eissn = {1098-1063},
	pages = {175-191}
}

@article{MTMT:31607663,
	title = {Episodic Memories: How do the Hippocampus and the Entorhinal Ring Attractors Cooperate to Create Them?},
	url = {https://m2.mtmt.hu/api/publication/31607663},
	author = {Kovács, Krisztián},
	doi = {10.3389/fnsys.2020.559186},
	journal-iso = {FRONT SYST NEUROSCI},
	journal = {FRONTIERS IN SYSTEMS NEUROSCIENCE},
	volume = {14},
	unique-id = {31607663},
	abstract = {The brain is capable of registering a constellation of events, encountered only once, as an episodic memory that can last for a lifetime. As evidenced by the clinical case of the patient HM, memories preserving their episodic nature still depend on the hippocampal formation, several years after being created, while semantic memories are thought to reside in neocortical areas. The neurobiological substrate of one-time learning and life-long storing in the brain, that must exist at the cellular and circuit level, is still undiscovered. The breakthrough is delayed by the fact that studies jointly investigating the rodent hippocampus and entorhinal cortex are mostly targeted at understanding the spatial aspect of learning. Here, we present the concept of an entorhinal cortical module, termed EPISODE module, that could explain how the representations of different elements constituting episodic memories can be linked together at the stage of encoding. The new model that we propose here reconciles the structural and functional observations made in the entorhinal cortex and explains how the downstream hippocampal processing organizes the representations into meaningful sequences.},
	year = {2020},
	eissn = {1662-5137}
}

@article{MTMT:32181219,
	title = {Efficient phase coding in hippocampal place cells},
	url = {https://m2.mtmt.hu/api/publication/32181219},
	author = {Seenivasan, P and Narayanan, R},
	doi = {10.1103/PhysRevResearch.2.033393},
	journal-iso = {PRRESEARCH},
	journal = {PHYSICAL REVIEW RESEARCH},
	volume = {2},
	unique-id = {32181219},
	year = {2020},
	eissn = {2643-1564}
}

@article{MTMT:33290531,
	title = {Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations},
	url = {https://m2.mtmt.hu/api/publication/33290531},
	author = {Vincent-Lamarre, P. and Calderini, M. and Thivierge, J.-P.},
	doi = {10.3389/fncom.2020.00078},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {14},
	unique-id = {33290531},
	issn = {1662-5188},
	year = {2020},
	eissn = {1662-5188}
}

@article{MTMT:31134352,
	title = {Hippocampal Sequences During Exploration: Mechanisms and Functions},
	url = {https://m2.mtmt.hu/api/publication/31134352},
	author = {Drieu, Celine and Zugaro, Michael},
	doi = {10.3389/fncel.2019.00232},
	journal-iso = {FRONT CELL NEUROSCI},
	journal = {FRONTIERS IN CELLULAR NEUROSCIENCE},
	volume = {13},
	unique-id = {31134352},
	issn = {1662-5102},
	year = {2019},
	eissn = {1662-5102}
}

@article{MTMT:31122564,
	title = {Spatial synchronization codes from coupled rate-phase neurons},
	url = {https://m2.mtmt.hu/api/publication/31122564},
	author = {Monaco, JD and De, Guzman RM and Blair, HT and Zhang, KC},
	doi = {10.1371/journal.pcbi.1006741},
	journal-iso = {PLOS COMPUT BIOL},
	journal = {PLOS COMPUTATIONAL BIOLOGY},
	volume = {15},
	unique-id = {31122564},
	issn = {1553-734X},
	year = {2019},
	eissn = {1553-7358}
}

@article{MTMT:31269849,
	title = {Phase relations of theta oscillations in a computer model of the hippocampal CA1 field: Key role of Schaffer collaterals},
	url = {https://m2.mtmt.hu/api/publication/31269849},
	author = {Mysin, IE and Kitchigina, VF and Kazanovich, YB},
	doi = {10.1016/j.neunet.2019.04.004},
	journal-iso = {NEURAL NETWORKS},
	journal = {NEURAL NETWORKS},
	volume = {116},
	unique-id = {31269849},
	issn = {0893-6080},
	abstract = {The hippocampal theta rhythm (4-12 Hz) is one of the most important electrophysiological processes in the hippocampus, it participates in cognitive hippocampal functions, such as navigation in space, novelty detection, and declarative memory. We use neural network modeling to study the mechanism of theta rhythm emergence in the CA1 microcircuitry. Our model of the CA1 field includes biophysical representation of major cell types related to the theta rhythm emergence: excitatory pyramidal cells and two types of inhibitory interneurons, PV+ basket cells and oriens lacunosum-moleculare (OLM) cells. The main inputs to the CA1 cells come from the entorhinal cortex via perforant pathway, the CA3 field via Schaffer collaterals, and the medial septum via fimbria-fornix. By computer simulations we investigated the influence of each input, intrinsic parameters of neurons, and connections between neurons on phase coupling between the theta rhythm and the firing of pyramidal, PV+ basket and OLM cells in the CA1. We found that the input from the CA3 field via Schaffer collaterals plays a major role in the formation of phase relations that have been observed in experiments in vivo. The direct input from the medial septum participates in the formation of proper phase relations, but it is not crucial for the production of the theta rhythm in CA1 neural populations. (C) 2019 Elsevier Ltd. All rights reserved.},
	year = {2019},
	eissn = {1879-2782},
	pages = {119-138}
}

@article{MTMT:30749263,
	title = {A diversity of interneurons and Hebbian plasticity facilitate rapid compressible learning in the hippocampus},
	url = {https://m2.mtmt.hu/api/publication/30749263},
	author = {Nicola, Wilten and Clopath, Claudia},
	doi = {10.1038/s41593-019-0415-2},
	journal-iso = {NAT NEUROSCI},
	journal = {NATURE NEUROSCIENCE},
	volume = {22},
	unique-id = {30749263},
	issn = {1097-6256},
	abstract = {The hippocampus is able to rapidly learn incoming information, even if that information is only observed once. Furthermore, this information can be replayed in a compressed format in either forward or reverse modes during sharp wave-ripples (SPW-Rs). We leveraged state-of-the-art techniques in training recurrent spiking networks to demonstrate how primarily interneuron networks can achieve the following: (1) generate internal theta sequences to bind externally elicited spikes in the presence of inhibition from the medial septum; (2) compress learned spike sequences in the form of a SPW-R when septal inhibition is removed; (3) generate and refine high-frequency assemblies during SPW-R-mediated compression; and (4) regulate the inter-SPW interval timing between SPW-Rs in ripple clusters. From the fast timescale of neurons to the slow timescale of behaviors, interneuron networks serve as the scaffolding for one-shot learning by replaying, reversing, refining, and regulating spike sequences.},
	year = {2019},
	eissn = {1546-1726},
	pages = {1168-+}
}

@article{MTMT:30455108,
	title = {Temporal coding and rate remapping: Representation of nonspatial information in the hippocampus},
	url = {https://m2.mtmt.hu/api/publication/30455108},
	author = {Sanders, Honi and Ji, Daoyun and Sasaki, Takuya and Leutgeb, Jill K. and Wilson, Matthew A. and Lisman, John E.},
	doi = {10.1002/hipo.23020},
	journal-iso = {HIPPOCAMPUS},
	journal = {HIPPOCAMPUS},
	volume = {29},
	unique-id = {30455108},
	issn = {1050-9631},
	abstract = {Hippocampal place cells represent nonspatial information through a process called rate remapping, which involves a change in the firing rate of a place cell without changes in its spatial specificity. However, many hippocampal phenomena occur on very short time scales over which long-term average firing rates are not an appropriate description of activity. To understand how rate remapping relates to fine-scale temporal firing phenomena, we asked how rate remapping affected burst firing and trial-to-trial spike count variability. In addition, we looked at how rate remapping relates to the theta-frequency oscillations of the hippocampus, which are thought to temporally organize firing on time scales faster than 100 ms. We found that theta phase coding was preserved through changes in firing rate due to rate remapping. Interestingly, rate remapping in CA1 in response to task demands preferentially occurred during the first half of the theta cycle. The other half of the theta cycle contained preferential expression of phase precession, a phenomenon associated with place cell sequences, in agreement with previous results. This difference of place cell coding during different halves of the theta cycle supports recent theoretical suggestions that different processes occur during the two halves of the theta cycle. The differentiation between the halves of the theta cycle was not clear in recordings from CA3 during rate remapping induced by task-irrelevant sensory changes. These findings provide new insight into the way that temporal coding is utilized in the hippocampus and how rate remapping is expressed through that temporal code.},
	keywords = {Theta rhythm; PLACE CELLS; PHASE PRECESSION; overdispersion; theta sequence},
	year = {2019},
	eissn = {1098-1063},
	pages = {111-127},
	orcid-numbers = {Sanders, Honi/0000-0001-9018-2001}
}

@article{MTMT:27607546,
	title = {Neural mechanisms of navigation involving interactions of cortical and subcortical structures},
	url = {https://m2.mtmt.hu/api/publication/27607546},
	author = {Hasselmo, Michael E. and Alexander, Andrew S. and Dannenberg, Holger and Hinman, James R. and Hasselmo, Michael E. and Alexander, Andrew S. and Dannenberg, Holger and Hinman, James R. and Hasselmo, Michael E. and Alexander, Andrew S. and Dannenberg, Holger and Hinman, James R. and Hasselmo, Michael E. and Alexander, Andrew S. and Dannenberg, Holger and Hinman, James R. and Hasselmo, Michael E. and Alexander, Andrew S. and Dannenberg, Holger and Hinman, James R. and Hasselmo, Michael E. and Alexander, Andrew S. and Dannenberg, Holger and Hinman, James R. and Hasselmo, Michael E. and Alexander, Andrew S. and Dannenberg, Holger and Hinman, James R. and Hasselmo, Michael E. and Alexander, Andrew S. and Dannenberg, Holger and Hinman, James R. and Hinman, James R and Dannenberg, Holger and Alexander, Andrew S and Hasselmo, Michael E},
	doi = {10.1152/jn.00498.2017},
	journal-iso = {J NEUROPHYSIOL},
	journal = {JOURNAL OF NEUROPHYSIOLOGY},
	volume = {119},
	unique-id = {27607546},
	issn = {0022-3077},
	abstract = {Animals must perform spatial navigation for a range of different behaviors, including selection of trajectories toward goal locations and foraging for food sources. To serve this function, a number of different brain regions play a role in coding different dimensions of sensory input important for spatial behavior, including the entorhinal cortex, the retrosplenial cortex, the hippocampus, and the medial septum. This article will review data concerning the coding of the spatial aspects of animal behavior, including location of the animal within an environment, the speed of movement, the trajectory of movement, the direction of the head in the environment, and the position of barriers and objects both relative to the animal's head direction (egocentric) and relative to the layout of the environment (allocentric). The mechanisms for coding these important spatial representations are not yet fully understood but could involve mechanisms including integration of self-motion information or coding of location based on the angle of sensory features in the environment. We will review available data and theories about the mechanisms for coding of spatial representations. The computation of different aspects of spatial representation from available sensory input requires complex cortical processing mechanisms for transformation from egocentric to allocentric coordinates that will only be understood through a combination of neurophysiological studies and computational modeling.},
	keywords = {ENTORHINAL CORTEX; Grid cells; head direction cells; boundary cells; speed cells},
	year = {2018},
	eissn = {1522-1598},
	pages = {2007-2029}
}

@article{MTMT:30317318,
	title = {Global and Multiplexed Dendritic Computations under In Vivo-like Conditions},
	url = {https://m2.mtmt.hu/api/publication/30317318},
	author = {Ujfalussy, Balázs Benedek and Makara, Judit and Lengyel, M. and Branco, T.},
	doi = {10.1016/j.neuron.2018.08.032},
	journal-iso = {NEURON},
	journal = {NEURON},
	volume = {100},
	unique-id = {30317318},
	issn = {0896-6273},
	abstract = {Dendrites integrate inputs nonlinearly, but it is unclear how these nonlinearities contribute to the overall input-output transformation of single neurons. We developed statistically principled methods using a hierarchical cascade of linear-nonlinear subunits (hLN) to model the dynamically evolving somatic response of neurons receiving complex, in vivo-like spatiotemporal synaptic input patterns. We used the hLN to predict the somatic membrane potential of an in vivo-validated detailed biophysical model of a L2/3 pyramidal cell. Linear input integration with a single global dendritic nonlinearity achieved above 90% prediction accuracy. A novel hLN motif, input multiplexing into parallel processing channels, could improve predictions as much as conventionally used additional layers of local nonlinearities. We obtained similar results in two other cell types. This approach provides a data-driven characterization of a key component of cortical circuit computations: the input-output transformation of neurons during in vivo-like conditions. The input-output transformation of neurons under in vivo conditions is unknown. Ujfalussy et al. use a model-based approach to show that linear integration with a single global dendritic nonlinearity can accurately predict the response of neurons to naturalistic synaptic input patterns. © 2018 The Authors},
	keywords = {MODEL; ARTICLE; PREDICTION; synapse; DENDRITE; human cell; in vivo study; pyramidal nerve cell; Physical model; nonlinear; nonlinear system; membrane potential; SYNAPTIC INPUT; Linear; model fitting; dendritic integration; hierarchical; in vivo-like conditions; input-output transformation; multiplexed},
	year = {2018},
	eissn = {1097-4199},
	pages = {579-592},
	orcid-numbers = {Ujfalussy, Balázs Benedek/0000-0002-2295-3828}
}

@article{MTMT:3205425,
	title = {Entorhinal-CA3 Dual-Input Control of Spike Timing in the Hippocampus by Theta-Gamma Coupling},
	url = {https://m2.mtmt.hu/api/publication/3205425},
	author = {Fernandez-Ruiz, A and Oliva, Azahara and Nagy, Attila Gergő and Maurer, AP and Berényi, Antal and Buzsaki, G},
	doi = {10.1016/j.neuron.2017.02.017},
	journal-iso = {NEURON},
	journal = {NEURON},
	volume = {93},
	unique-id = {3205425},
	issn = {0896-6273},
	abstract = {Theta-gamma phase coupling and spike timing within theta oscillations are prominent features of the hippocampus and are often related to navigation and memory. However, the mechanisms that give rise to these relationships are not well understood. Using high spatial resolution electrophysiology, we investigated the influence of CA3 and entorhinal inputs on the timing of CA1 neurons. The theta-phase preference and excitatory strength of the afferent CA3 and entorhinal inputs effectively timed the principal neuron activity, as well as regulated distinct CA1 interneuron populations in multiple tasks and behavioral states. Feedback potentiation of distal dendritic inhibition by CA1 place cells attenuated the excitatory entorhinal input at place field entry, coupled with feedback depression of proximal dendritic and perisomatic inhibition, allowing the CA3 input to gain control toward the exit. Thus, upstream inputs interact with local mechanisms to determine theta-phase timing of hippocampal neurons to support memory and spatial navigation.},
	keywords = {Animals; Male; INHIBITION; MEMORY; hippocampus; ARTICLE; animal; physiology; nonhuman; animal tissue; animal experiment; animal cell; learning; Models, Neurological; brain electrophysiology; Theta rhythm; HIPPOCAMPAL CA3 REGION; PYRAMIDAL CELLS; ENTORHINAL CORTEX; OSCILLATIONS; PHASE PRECESSION; spike wave; Action Potentials; action potential; biological model; Rats, Long-Evans; pyramidal nerve cell; interneuron; gamma rhythm; nerve cell excitability; dendritic spine; brain nerve cell; feedback system; hippocampal CA1 region; temporal coding; Long Evans rat; place coding; phase coupling; memory recall; memory encoding; high-density recordings; cross-frequency coupling; rat; interneurons},
	year = {2017},
	eissn = {1097-4199},
	pages = {1213-1226},
	orcid-numbers = {Nagy, Attila Gergő/0000-0001-5525-7872}
}

@{MTMT:30767912,
	title = {Marr’s influence on the standard model of hippocampus, and the need for more theoretical advances},
	url = {https://m2.mtmt.hu/api/publication/30767912},
	author = {Hasselmo, M.E. and Hinman, J.R.},
	booktitle = {Computational Theories and their Implementation in the Brain: The Legacy of David Marr},
	doi = {10.1093/acprof:oso/9780198749783.003.0006},
	unique-id = {30767912},
	abstract = {David Marr’s classic 1971 paper laid the foundation for a standard model of the hippocampus combining pattern separation (Marr’s codon hypothesis) and pattern completion. His paper discusses functions that became components of a standard theoretical model of hippocampal function within the field, and inspired further studies on more detailed analysis of pattern separation in the dentate gyrus and pattern completion by attractor dynamics in region CA3. This theoretical framework has been the focus of a number of experimental tests over the years, including neurophysiological studies of patterns of neuronal activity in behaving rats, tests of behavioural effects with selective genetic manipulations, and fMRI studies of hippocampal activity in humans. This chapter also reviews subsequent research related to the dynamics of pattern completion, as well as subsequent modeling that addressed network dynamics in the hippocampus including theta rhythm oscillations, theta phase precession and the patterns of grid cell firing in entorhinal cortex. Finally, this chapter addresses the need for future breakthroughs by researchers that combine sophisticated mathematical techniques with detailed knowledge of the anatomy and neurophysiology of cortical structures. © Oxford University Press 2017.},
	keywords = {RETRIEVAL; Theta rhythm; dentate gyrus; associative memory; Grid cells; PATTERN SEPARATION; Encoding; Sequence Encoding; PATTERN COMPLETION; Codon hypothesis; Region CA3},
	year = {2017},
	pages = {133-158}
}

@article{MTMT:26531509,
	title = {Flexible theta sequence compression mediated via phase precessing interneurons},
	url = {https://m2.mtmt.hu/api/publication/26531509},
	author = {Chadwick, A and van Rossum, MCW and Nolan, MF},
	doi = {10.7554/eLife.20349},
	journal-iso = {ELIFE},
	journal = {ELIFE},
	volume = {5},
	unique-id = {26531509},
	issn = {2050-084X},
	year = {2016},
	eissn = {2050-084X}
}

@inbook{MTMT:3018734,
	title = {Introduction to Cognitive Systems},
	url = {https://m2.mtmt.hu/api/publication/3018734},
	author = {Érdi, Péter and Bányai, Mihály},
	booktitle = {Handbook on Computational Intelligence},
	doi = {10.1142/9789814675017_0009},
	unique-id = {3018734},
	year = {2016},
	pages = {317-356}
}

@{MTMT:34069227,
	title = {Computational neuroscience: Hippocampus},
	url = {https://m2.mtmt.hu/api/publication/34069227},
	author = {Hasselmo, M.E. and Hinman, J.R.},
	booktitle = {Neuroscience in the 21st Century: From Basic to Clinical, Second Edition},
	doi = {10.1007/978-1-4939-3474-4_175},
	unique-id = {34069227},
	year = {2016},
	pages = {3081-3095}
}

@{MTMT:27374137,
	title = {Hippocampal mechanisms for the segmentation of space by goals and boundaries},
	url = {https://m2.mtmt.hu/api/publication/27374137},
	author = {McKenzie, S and Buzsáki, G},
	booktitle = {Micro-, Meso- and Macro-Dynamics of the Brain},
	doi = {10.1007/978-3-319-28802-4_1},
	unique-id = {27374137},
	year = {2016},
	pages = {1-21}
}

@article{MTMT:26376647,
	title = {Modelling effects on grid cells of sensory input during self-motion},
	url = {https://m2.mtmt.hu/api/publication/26376647},
	author = {Raudies, Florian and Hinman, James R and Hasselmo, Michael E},
	doi = {10.1113/JP270649},
	journal-iso = {J PHYSIOL-LONDON},
	journal = {JOURNAL OF PHYSIOLOGY-LONDON},
	volume = {594},
	unique-id = {26376647},
	issn = {0022-3751},
	year = {2016},
	eissn = {1469-7793},
	pages = {6513-6526}
}

@article{MTMT:26391622,
	title = {Neural Mechanism to Simulate a Scale-Invariant Future},
	url = {https://m2.mtmt.hu/api/publication/26391622},
	author = {Shankar, Karthik H and Singh, Inder and Howard, Marc W},
	doi = {10.1162/NECO_a_00891},
	journal-iso = {NEURAL COMPUT},
	journal = {NEURAL COMPUTATION},
	volume = {28},
	unique-id = {26391622},
	issn = {0899-7667},
	year = {2016},
	eissn = {1530-888X},
	pages = {2594-2627}
}

@article{MTMT:25364298,
	title = {Independent Theta Phase Coding Accounts for CA1 Population Sequences and Enables Flexible Remapping},
	url = {https://m2.mtmt.hu/api/publication/25364298},
	author = {Chadwick, Angus and van Rossum, Mark C W and Nolan, Matthew F},
	doi = {10.7554/eLife.03542},
	journal-iso = {ELIFE},
	journal = {ELIFE},
	volume = {4},
	unique-id = {25364298},
	issn = {2050-084X},
	year = {2015},
	eissn = {2050-084X}
}

@article{MTMT:25364349,
	title = {A neural mass model of place cell activity: theta phase precession, replay and imagination of never experienced paths},
	url = {https://m2.mtmt.hu/api/publication/25364349},
	author = {Cona, Filippo and Ursino, Mauro},
	doi = {10.1007/s10827-014-0533-5},
	journal-iso = {J COMPUT NEUROSCI},
	journal = {JOURNAL OF COMPUTATIONAL NEUROSCIENCE},
	volume = {38},
	unique-id = {25364349},
	issn = {0929-5313},
	year = {2015},
	eissn = {1573-6873},
	pages = {105-127}
}

@article{MTMT:25862849,
	title = {Oscillatory multiplexing of neural population codes for interval timing and working memory},
	url = {https://m2.mtmt.hu/api/publication/25862849},
	author = {Gu, Bon-Mi and van Rijn, Hedderik and Meck, Warren H},
	doi = {10.1016/j.neubiorev.2014.10.008},
	journal-iso = {NEUROSCI BIOBEHAV R},
	journal = {NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS},
	volume = {48},
	unique-id = {25862849},
	issn = {0149-7634},
	year = {2015},
	eissn = {1873-7528},
	pages = {160-185},
	orcid-numbers = {van Rijn, Hedderik/0000-0002-0461-9850}
}

@article{MTMT:26832257,
	title = {A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/Ripples},
	url = {https://m2.mtmt.hu/api/publication/26832257},
	author = {Jahnke, Sven and Timme, Marc and Memmesheimer, Raoul-Martin},
	doi = {10.1523/JNEUROSCI.3977-14.2015},
	journal-iso = {J NEUROSCI},
	journal = {JOURNAL OF NEUROSCIENCE},
	volume = {35},
	unique-id = {26832257},
	issn = {0270-6474},
	year = {2015},
	eissn = {1529-2401},
	pages = {16236-16258}
}

@article{MTMT:25714211,
	title = {Place field expansion after focal MEC inactivations is consistent with loss of Fourier components and path integrator gain reduction},
	url = {https://m2.mtmt.hu/api/publication/25714211},
	author = {Ormond, Jake and McNaughton, Bruce L},
	doi = {10.1073/pnas.1421963112},
	journal-iso = {P NATL ACAD SCI USA},
	journal = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA},
	volume = {112},
	unique-id = {25714211},
	issn = {0027-8424},
	year = {2015},
	eissn = {1091-6490},
	pages = {4116-4121}
}

@article{MTMT:25454315,
	title = {State-dependencies of learning across brain scales},
	url = {https://m2.mtmt.hu/api/publication/25454315},
	author = {Ritter, P and Born, J and Brecht, M and Dinse, HR and Heinemann, U and Pleger, B and Schmitz, D and Schreiber, S and Villringer, A and Kempter, R},
	doi = {10.3389/fncom.2015.00001},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {9},
	unique-id = {25454315},
	issn = {1662-5188},
	year = {2015},
	eissn = {1662-5188}
}

@article{MTMT:25837694,
	title = {The medial entorhinal cortex is necessary for temporal organization of hippocampal neuronal activity},
	url = {https://m2.mtmt.hu/api/publication/25837694},
	author = {Schlesiger, Magdalene I and Cannova, Christopher C and Boublil, Brittney L and Hales, Jena B and Mankin, Emily A and Brandon, Mark P and Leutgeb, Jill K and Leibold, Christian and Leutgeb, Stefan},
	doi = {10.1038/nn.4056},
	journal-iso = {NAT NEUROSCI},
	journal = {NATURE NEUROSCIENCE},
	volume = {18},
	unique-id = {25837694},
	issn = {1097-6256},
	year = {2015},
	eissn = {1546-1726},
	pages = {1123-+}
}

@article{MTMT:30483354,
	title = {Septo-hippocampal signal processing: breaking the code},
	url = {https://m2.mtmt.hu/api/publication/30483354},
	author = {Tsanov, Marian},
	doi = {10.1016/bs.pbr.2015.04.002},
	journal-iso = {PROG BRAIN RES},
	journal = {PROGRESS IN BRAIN RESEARCH},
	volume = {219},
	unique-id = {30483354},
	issn = {0079-6123},
	abstract = {The septo-hippocampal connections appear to be a key element in the neuromodulatory cholinergic control of the hippocampal neurons. The cholinergic neuromodulation is well established in shifting behavioral states of the brain. The pacemaker role of medial septum in the limbic theta rhythm is demonstrated by lesions and pharmacological manipulations of GABAergic neurons, yet the link between the activity of different septal neuronal classes and limbic theta rhythm is not fully understood. We know even less about the information transfer between the medial septum and hippocampus-is there a particular kind of processed information that septo-hippocampal pathways transmit? This review encompasses fundamental findings together with the latest data of septo-hippocampal signal processing to tackle the frontiers of our understanding about the functional significance of medial septum to the hippocampal formation.},
	keywords = {hippocampus; ACETYLCHOLINE; Theta rhythm; MEDIAL SEPTUM; optogenetics},
	year = {2015},
	eissn = {1875-7855},
	pages = {103-120},
	orcid-numbers = {Tsanov, Marian/0000-0002-4900-9597}
}

@article{MTMT:25967673,
	title = {New and Distinct Hippocampal Place Codes Are Generated in a New Environment during Septal Inactivation},
	url = {https://m2.mtmt.hu/api/publication/25967673},
	author = {Brandon, MP and Koenig, J and Leutgeb, JK and Leutgeb, S},
	doi = {10.1016/j.neuron.2014.04.013},
	journal-iso = {NEURON},
	journal = {NEURON},
	volume = {82},
	unique-id = {25967673},
	issn = {0896-6273},
	year = {2014},
	eissn = {1097-4199},
	pages = {789-796}
}

@article{MTMT:24334865,
	title = {A Hybrid Oscillatory Interference/Continuous Attractor Network Model of Grid Cell Firing},
	url = {https://m2.mtmt.hu/api/publication/24334865},
	author = {Bush, D and Burgess, N},
	doi = {10.1523/JNEUROSCI.4017-13.2014},
	journal-iso = {J NEUROSCI},
	journal = {JOURNAL OF NEUROSCIENCE},
	volume = {34},
	unique-id = {24334865},
	issn = {0270-6474},
	year = {2014},
	eissn = {1529-2401},
	pages = {5065-5079}
}

@article{MTMT:24854925,
	title = {Reversed theta sequences of hippocampal cell assemblies during backward travel},
	url = {https://m2.mtmt.hu/api/publication/24854925},
	author = {Cei, Anne and Girardeau, Gabrielle and Drieu, Celine and El, Kanbi Karim and Zugaro, Michael},
	doi = {10.1038/nn.3698},
	journal-iso = {NAT NEUROSCI},
	journal = {NATURE NEUROSCIENCE},
	volume = {17},
	unique-id = {24854925},
	issn = {1097-6256},
	year = {2014},
	eissn = {1546-1726},
	pages = {719-+}
}

@article{MTMT:24854932,
	title = {Hyperpolarization-Activated Cyclic Nucleotide-Gated 1 Independent Grid Cell-Phase Precession in Mice},
	url = {https://m2.mtmt.hu/api/publication/24854932},
	author = {Eggink, Hannah and Mertens, Paul and Storm, Eline and Giocomo, Lisa M},
	doi = {10.1002/hipo.22231},
	journal-iso = {HIPPOCAMPUS},
	journal = {HIPPOCAMPUS},
	volume = {24},
	unique-id = {24854932},
	issn = {1050-9631},
	year = {2014},
	eissn = {1098-1063},
	pages = {249-256}
}

@article{MTMT:24334861,
	title = {Intrinsic Ca2+-dependent theta oscillations in apical dendrites of hippocampal CA1 pyramidal cells in vitro},
	url = {https://m2.mtmt.hu/api/publication/24334861},
	author = {Hansen, AK and Nedergaard, S and Andreasen, M},
	doi = {10.1152/jn.00753.2013},
	journal-iso = {J NEUROPHYSIOL},
	journal = {JOURNAL OF NEUROPHYSIOLOGY},
	volume = {112},
	unique-id = {24334861},
	issn = {0022-3077},
	year = {2014},
	eissn = {1522-1598},
	pages = {631-643}
}

@article{MTMT:24854929,
	title = {Modeling Inheritance of Phase Precession in the Hippocampal Formation},
	url = {https://m2.mtmt.hu/api/publication/24854929},
	author = {Jaramillo, Jorge and Schmidt, Robert and Kempter, Richard},
	doi = {10.1523/JNEUROSCI.5136-13.2014},
	journal-iso = {J NEUROSCI},
	journal = {JOURNAL OF NEUROSCIENCE},
	volume = {34},
	unique-id = {24854929},
	issn = {0270-6474},
	year = {2014},
	eissn = {1529-2401},
	pages = {7715-7731}
}

@article{MTMT:24854921,
	title = {Theta phase precession of grid and place cell firing in open environments},
	url = {https://m2.mtmt.hu/api/publication/24854921},
	author = {Jeewajee, A and Barry, C and Douchamps, V and Manson, D and Lever, C and Burgess, N},
	doi = {10.1098/rstb.2012.0532},
	journal-iso = {PHILOS T ROY SOC B},
	journal = {PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B - BIOLOGICAL SCIENCES},
	volume = {369},
	unique-id = {24854921},
	issn = {0962-8436},
	year = {2014},
	eissn = {1471-2970}
}

@article{MTMT:24854930,
	title = {M-type potassium conductance controls the emergence of neural phase codes: a combined experimental and neuron modelling study},
	url = {https://m2.mtmt.hu/api/publication/24854930},
	author = {Kwag, Jeehyun and Jang, Hyun Jae and Kim, Mincheol and Lee, Sujeong},
	doi = {10.1098/rsif.2014.0604},
	journal-iso = {J R SOC INTERFACE},
	journal = {JOURNAL OF THE ROYAL SOCIETY INTERFACE},
	volume = {11},
	unique-id = {24854930},
	issn = {1742-5689},
	year = {2014},
	eissn = {1742-5662}
}

@{MTMT:27366683,
	title = {The function of oscillations in the hippocampal formation},
	url = {https://m2.mtmt.hu/api/publication/27366683},
	author = {Lever, C and Kaplan, R and Burgess, N},
	booktitle = {Space, Time and Memory in the Hippocampal Formation},
	doi = {10.1007/978-3-7091-1292-2_12},
	publisher = {Springer Wien},
	unique-id = {27366683},
	year = {2014},
	pages = {303-350}
}

@article{MTMT:24854938,
	title = {Back to the Future: Preserved Hippocampal Network Activity during Reverse Ambulation},
	url = {https://m2.mtmt.hu/api/publication/24854938},
	author = {Maurer, Andrew P and Lester, Adam W and Burke, Sara N and Ferng, Jonathan J and Barnes, Carol A},
	doi = {10.1523/JNEUROSCI.1129-14.2014},
	journal-iso = {J NEUROSCI},
	journal = {JOURNAL OF NEUROSCIENCE},
	volume = {34},
	unique-id = {24854938},
	issn = {0270-6474},
	year = {2014},
	eissn = {1529-2401},
	pages = {15022-15031}
}

@article{MTMT:26269877,
	title = {How to build a grid cell},
	url = {https://m2.mtmt.hu/api/publication/26269877},
	author = {Schmidt-Hieber, Christoph and Haeusser, Michael},
	doi = {10.1098/rstb.2012.0520},
	journal-iso = {PHILOS T ROY SOC B},
	journal = {PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B - BIOLOGICAL SCIENCES},
	volume = {369},
	unique-id = {26269877},
	issn = {0962-8436},
	year = {2014},
	eissn = {1471-2970},
	orcid-numbers = {Schmidt-Hieber, Christoph/0000-0002-5328-9704}
}

@{MTMT:25875265,
	title = {How does the brain solve the computational problems of spatial navigation?},
	url = {https://m2.mtmt.hu/api/publication/25875265},
	author = {Widloski, J and Fiete, I},
	booktitle = {Space, Time and Memory in the Hippocampal Formation},
	doi = {10.1007/978-3-7091-1292-2_14},
	publisher = {Springer Wien},
	unique-id = {25875265},
	year = {2014},
	pages = {373-407}
}

@article{MTMT:24830869,
	title = {A spiking-network cognitive architecture inspired by the hippocampus},
	url = {https://m2.mtmt.hu/api/publication/24830869},
	author = {Ascoli, Giorgio A and Samsonovich, Alexei V},
	doi = {10.1016/j.bica.2012.11.002},
	journal-iso = {BIOL INSPIRED COGN ARCHITECT},
	journal = {BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES},
	volume = {3},
	unique-id = {24830869},
	issn = {2212-683X},
	year = {2013},
	eissn = {2212-6848},
	pages = {13-26}
}

@article{MTMT:24854943,
	title = {Phase coding by grid cells in unconstrained environments: two-dimensional phase precession},
	url = {https://m2.mtmt.hu/api/publication/24854943},
	author = {Climer, Jason R and Newman, Ehren L and Hasselmo, Michael E},
	doi = {10.1111/ejn.12256},
	journal-iso = {EUR J NEUROSCI},
	journal = {EUROPEAN JOURNAL OF NEUROSCIENCE},
	volume = {38},
	unique-id = {24854943},
	issn = {0953-816X},
	year = {2013},
	eissn = {1460-9568},
	pages = {2526-2541}
}

@{MTMT:27616801,
	title = {20 years of the dynamics of memory: The long and winding road linking cellular mechanisms to behavior},
	url = {https://m2.mtmt.hu/api/publication/27616801},
	author = {Hasselmo, ME},
	booktitle = {20 Years of Computational Neuroscience},
	doi = {10.1007/978-1-4614-1424-7_10},
	publisher = {Springer US},
	unique-id = {27616801},
	year = {2013},
	pages = {207-227}
}

@article{MTMT:27029351,
	title = {Spiking Neurons in a Hierarchical Self-Organizing Map Model Can Learn to Develop Spatial and Temporal Properties of Entorhinal Grid Cells and Hippocampal Place Cells},
	url = {https://m2.mtmt.hu/api/publication/27029351},
	author = {Pilly, Praveen K and Grossberg, Stephen},
	doi = {10.1371/journal.pone.0060599},
	journal-iso = {PLOS ONE},
	journal = {PLOS ONE},
	volume = {8},
	unique-id = {27029351},
	issn = {1932-6203},
	year = {2013},
	eissn = {1932-6203}
}

@{MTMT:34643853,
	title = {Role of oscillation-enhanced neural precision in information transmission between brain areas},
	url = {https://m2.mtmt.hu/api/publication/34643853},
	author = {Tiesinga, P.H. and Koželj, S. and Battaglia, F.P.},
	booktitle = {Spike Timing: Mechanisms and Function},
	doi = {10.1201/b14859},
	unique-id = {34643853},
	year = {2013},
	pages = {153-181}
}

@article{MTMT:25863244,
	title = {Novelty and Anxiolytic Drugs Dissociate Two Components of Hippocampal Theta in Behaving Rats},
	url = {https://m2.mtmt.hu/api/publication/25863244},
	author = {Wells, Christine E and Amos, Doran P and Jeewajee, Ali and Douchamps, Vincent and Rodgers, John and O'Keefe, John and Burgess, Neil and Lever, Colin},
	doi = {10.1523/JNEUROSCI.5040-12.2013},
	journal-iso = {J NEUROSCI},
	journal = {JOURNAL OF NEUROSCIENCE},
	volume = {33},
	unique-id = {25863244},
	issn = {0270-6474},
	year = {2013},
	eissn = {1529-2401},
	pages = {8650-8667},
	orcid-numbers = {Burgess, Neil/0000-0003-0646-6584; Lever, Colin/0000-0002-8955-2885}
}

@inproceedings{MTMT:23576980,
	title = {Role of velocity perception on place field size and density of hippocampal place cells},
	url = {https://m2.mtmt.hu/api/publication/23576980},
	author = {Xie, K and Tian, Y and Shen, G and Yan, Y and Lei, T and Qiao, Z and Yan, Z and Xu, Q and Tang, C and Liu, J and Guo, W and Gao, S and Wu, X and Luo, E},
	booktitle = {Proceedings of the IASTED International Conference on Biomedical Engineering, BioMed 2013},
	doi = {10.2316/P.2013.791-104},
	unique-id = {23576980},
	year = {2013},
	pages = {546-553}
}

@article{MTMT:27029329,
	title = {Possible role of acetylcholine in regulating spatial novelty effects on theta rhythm and grid cells},
	url = {https://m2.mtmt.hu/api/publication/27029329},
	author = {Barry, Caswell and Heys, James G and Hasselmo, Michael E},
	doi = {10.3389/fncir.2012.00005},
	journal-iso = {FRONT NEURAL CIRCUIT},
	journal = {FRONTIERS IN NEURAL CIRCUITS},
	volume = {6},
	unique-id = {27029329},
	issn = {1662-5110},
	year = {2012},
	eissn = {1662-5110}
}

@article{MTMT:27029748,
	title = {SCN1A mutations in Dravet syndrome: Impact of interneuron dysfunction on neural networks and cognitive outcome},
	url = {https://m2.mtmt.hu/api/publication/27029748},
	author = {Bender, Alex C and Morse, Richard P and Scott, Rod C and Holmes, Gregory L and Lenck-Santini, Pierre-Pascal},
	doi = {10.1016/j.yebeh.2011.11.022},
	journal-iso = {EPILEPSY BEHAV},
	journal = {EPILEPSY & BEHAVIOR},
	volume = {23},
	unique-id = {27029748},
	issn = {1525-5050},
	year = {2012},
	eissn = {1525-5069},
	pages = {177-186}
}

@article{MTMT:24854950,
	title = {Phase precession through acceleration of local theta rhythm: a biophysical model for the interaction between place cells and local inhibitory neurons},
	url = {https://m2.mtmt.hu/api/publication/24854950},
	author = {Castro, Luisa and Aguiar, Paulo},
	doi = {10.1007/s10827-011-0378-0},
	journal-iso = {J COMPUT NEUROSCI},
	journal = {JOURNAL OF COMPUTATIONAL NEUROSCIENCE},
	volume = {33},
	unique-id = {24854950},
	issn = {0929-5313},
	year = {2012},
	eissn = {1573-6873},
	pages = {141-150}
}

@article{MTMT:25002981,
	title = {Hippocampal Phase Precession from Dual Input Components},
	url = {https://m2.mtmt.hu/api/publication/25002981},
	author = {Chance, Frances S},
	doi = {10.1523/JNEUROSCI.2786-12.2012},
	journal-iso = {J NEUROSCI},
	journal = {JOURNAL OF NEUROSCIENCE},
	volume = {32},
	unique-id = {25002981},
	issn = {0270-6474},
	year = {2012},
	eissn = {1529-2401},
	pages = {16693-+}
}

@article{MTMT:22964771,
	title = {GABAergic contributions to gating, timing, and phase precession of hippocampal neuronal activity during theta oscillations},
	url = {https://m2.mtmt.hu/api/publication/22964771},
	author = {Cutsuridis, V and Hasselmo, M},
	doi = {10.1002/hipo.21002},
	journal-iso = {HIPPOCAMPUS},
	journal = {HIPPOCAMPUS},
	volume = {22},
	unique-id = {22964771},
	issn = {1050-9631},
	year = {2012},
	eissn = {1098-1063},
	pages = {1597-1621}
}

@article{MTMT:22773802,
	title = {From Cells to Systems: Grids and Boundaries in Spatial Memory},
	url = {https://m2.mtmt.hu/api/publication/22773802},
	author = {Doeller, CF and Barry, C and Burgess, N},
	doi = {10.1177/1073858411422115},
	journal-iso = {NEUROSCIENTIST},
	journal = {NEUROSCIENTIST},
	volume = {18},
	unique-id = {22773802},
	issn = {1073-8584},
	year = {2012},
	eissn = {1089-4098},
	pages = {556-566}
}

@book{MTMT:23298197,
	title = {How we remember: Brain mechanisms of episodic memory},
	url = {https://m2.mtmt.hu/api/publication/23298197},
	isbn = {9780262299107},
	author = {Hasselmo, M},
	publisher = {Massachusetts Institute of Technology Press},
	unique-id = {23298197},
	year = {2012}
}

@article{MTMT:22906691,
	title = {Quantifying circular-linear associations: Hippocampal phase precession},
	url = {https://m2.mtmt.hu/api/publication/22906691},
	author = {Kempter, R and Leibold, C and Buzsaki, G and Diba, K and Schmidt, R},
	doi = {10.1016/j.jneumeth.2012.03.007},
	journal-iso = {J NEUROSCI METH},
	journal = {JOURNAL OF NEUROSCIENCE METHODS},
	volume = {207},
	unique-id = {22906691},
	issn = {0165-0270},
	year = {2012},
	eissn = {1872-678X},
	pages = {113-124}
}

@article{MTMT:25002704,
	title = {Theta phase precession beyond the hippocampus},
	url = {https://m2.mtmt.hu/api/publication/25002704},
	author = {Malhotra, Sushant and Cross, Robert W A and van der Meer, Matthijs A A},
	doi = {10.1515/revneuro-2011-0064},
	journal-iso = {REV NEUROSCI},
	journal = {REVIEWS IN THE NEUROSCIENCES},
	volume = {23},
	unique-id = {25002704},
	issn = {0334-1763},
	year = {2012},
	eissn = {2191-0200},
	pages = {39-65}
}

@article{MTMT:32649418,
	title = {Models of grid cell spatial firing published 2005-2011},
	url = {https://m2.mtmt.hu/api/publication/32649418},
	author = {Zilli, E.A.},
	doi = {10.3389/fncir.2012.00016},
	journal-iso = {FRONT NEURAL CIRCUIT},
	journal = {FRONTIERS IN NEURAL CIRCUITS},
	volume = {6},
	unique-id = {32649418},
	issn = {1662-5110},
	year = {2012},
	eissn = {1662-5110}
}

@{MTMT:23577021,
	title = {Temporal Neuronal Oscillations can Produce Spatial Phase Codes},
	url = {https://m2.mtmt.hu/api/publication/23577021},
	author = {Burgess, C and Schuck, NW and Burgess, N},
	booktitle = {Space, Time and Number in the Brain},
	doi = {10.1016/B978-0-12-385948-8.00005-0},
	publisher = {Elsevier Inc.},
	unique-id = {23577021},
	year = {2011},
	pages = {59-69}
}

@article{MTMT:22963077,
	title = {Models of place and grid cell firing and theta rhythmicity},
	url = {https://m2.mtmt.hu/api/publication/22963077},
	author = {Burgess, N and O'Keefe, J},
	doi = {10.1016/j.conb.2011.07.002},
	journal-iso = {CURR OPIN NEUROBIOL},
	journal = {CURRENT OPINION IN NEUROBIOLOGY},
	volume = {21},
	unique-id = {22963077},
	issn = {0959-4388},
	year = {2011},
	eissn = {1873-6882},
	pages = {734-744}
}

@article{MTMT:21652823,
	title = {Computational Models of Grid Cells},
	url = {https://m2.mtmt.hu/api/publication/21652823},
	author = {Giocomo, LM and Moser, MB and Moser, EI},
	doi = {10.1016/j.neuron.2011.07.023},
	journal-iso = {NEURON},
	journal = {NEURON},
	volume = {71},
	unique-id = {21652823},
	issn = {0896-6273},
	year = {2011},
	eissn = {1097-4199},
	pages = {589-603}
}

@article{MTMT:24854956,
	title = {Phase of firing as a local window for efficient neuronal computation: tonic and phasic mechanisms in the control of theta spike phase},
	url = {https://m2.mtmt.hu/api/publication/24854956},
	author = {Kwag, Jeehyun and McLelland, Douglas and Paulsen, Ole},
	doi = {10.3389/fnhum.2011.00003},
	journal-iso = {FRONT HUM NEUROSCI},
	journal = {FRONTIERS IN HUMAN NEUROSCIENCE},
	volume = {5},
	unique-id = {24854956},
	issn = {1662-5161},
	year = {2011},
	eissn = {1662-5161}
}

@article{MTMT:27029323,
	title = {A Model of Intracellular Theta Phase Precession Dependent on Intrinsic Subthreshold Membrane Currents},
	url = {https://m2.mtmt.hu/api/publication/27029323},
	author = {Leung, L Stan},
	doi = {10.1523/JNEUROSCI.0586-11.2011},
	journal-iso = {J NEUROSCI},
	journal = {JOURNAL OF NEUROSCIENCE},
	volume = {31},
	unique-id = {27029323},
	issn = {0270-6474},
	year = {2011},
	eissn = {1529-2401},
	pages = {12282-12296}
}

@article{MTMT:21901378,
	title = {Sensory feedback, error correction, and remapping in a multiple oscillator model of place-cell activity},
	url = {https://m2.mtmt.hu/api/publication/21901378},
	author = {Monaco, JD and Knierim, JJ and Zhang, KC},
	doi = {10.3389/fncom.2011.00039},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {5},
	unique-id = {21901378},
	issn = {1662-5188},
	year = {2011},
	eissn = {1662-5188}
}

@article{MTMT:22401527,
	title = {Cosine Directional Tuning of Theta Cell Burst Frequencies: Evidence for Spatial Coding by Oscillatory Interference},
	url = {https://m2.mtmt.hu/api/publication/22401527},
	author = {Welday, AC and Shlifer, IG and Bloom, ML and Zhang, KC and Blair, HT},
	doi = {10.1523/JNEUROSCI.0712-11.2011},
	journal-iso = {J NEUROSCI},
	journal = {JOURNAL OF NEUROSCIENCE},
	volume = {31},
	unique-id = {22401527},
	issn = {0270-6474},
	year = {2011},
	eissn = {1529-2401},
	pages = {16157-16176}
}

@article{MTMT:27029303,
	title = {Temporal delays among place cells determine the frequency of population theta oscillations in the hippocampus},
	url = {https://m2.mtmt.hu/api/publication/27029303},
	author = {Geisler, Caroline and Diba, Kamran and Pastalkova, Eva and Mizuseki, Kenji and Royer, Sebastien and Buzsaki, Gyoergy},
	doi = {10.1073/pnas.0912478107},
	journal-iso = {P NATL ACAD SCI USA},
	journal = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA},
	volume = {107},
	unique-id = {27029303},
	issn = {0027-8424},
	year = {2010},
	eissn = {1091-6490},
	pages = {7957-7962},
	orcid-numbers = {Diba, Kamran/0000-0001-5128-4478; Mizuseki, Kenji/0000-0002-1456-2149}
}

@article{MTMT:21652828,
	title = {Cellular dynamical mechanisms for encoding the time and place of events along spatiotemporal trajectories in episodic memory},
	url = {https://m2.mtmt.hu/api/publication/21652828},
	author = {Hasselmo, ME and Giocomo, LM and Brandon, MP and Yoshida, M},
	doi = {10.1016/j.bbr.2009.12.010},
	journal-iso = {BEHAV BRAIN RES},
	journal = {BEHAVIOURAL BRAIN RESEARCH},
	volume = {215},
	unique-id = {21652828},
	issn = {0166-4328},
	year = {2010},
	eissn = {1872-7549},
	pages = {261-274}
}

@article{MTMT:21899056,
	title = {Network mechanisms of theta related neuronal activity in hippocampal CA1 pyramidal neurons},
	url = {https://m2.mtmt.hu/api/publication/21899056},
	author = {Losonczy, A and Zemelman, BV and Vaziri, A and Magee, JC},
	doi = {10.1038/nn.2597},
	journal-iso = {NAT NEUROSCI},
	journal = {NATURE NEUROSCIENCE},
	volume = {13},
	unique-id = {21899056},
	issn = {1097-6256},
	year = {2010},
	eissn = {1546-1726},
	pages = {967-U25}
}

@article{MTMT:22403815,
	title = {Democracy-Independence Trade-Off in Oscillating Dendrites and Its Implications for Grid Cells},
	url = {https://m2.mtmt.hu/api/publication/22403815},
	author = {Remme, MWH and Lengyel, M and Gutkin, BS},
	doi = {10.1016/j.neuron.2010.04.027},
	journal-iso = {NEURON},
	journal = {NEURON},
	volume = {66},
	unique-id = {22403815},
	issn = {0896-6273},
	year = {2010},
	eissn = {1097-4199},
	pages = {429-437}
}

@article{MTMT:21381099,
	title = {Neurophysiological and computational principles of cortical rhythms in cognition},
	url = {https://m2.mtmt.hu/api/publication/21381099},
	author = {Wang, X -J},
	doi = {10.1152/physrev.00035.2008},
	journal-iso = {PHYSIOL REV},
	journal = {PHYSIOLOGICAL REVIEWS},
	volume = {90},
	unique-id = {21381099},
	issn = {0031-9333},
	year = {2010},
	eissn = {1522-1210},
	pages = {1195-1268}
}

@article{MTMT:32614059,
	title = {Independence of the unimodal tuning of firing rate from theta phase precession in hippocampal place cells},
	url = {https://m2.mtmt.hu/api/publication/32614059},
	author = {Wu, Z. and Yamaguchi, Y.},
	doi = {10.1007/s00422-009-0359-9},
	journal-iso = {BIOL CYBERN},
	journal = {BIOLOGICAL CYBERNETICS},
	volume = {102},
	unique-id = {32614059},
	issn = {0340-1200},
	year = {2010},
	eissn = {1432-0770},
	pages = {95-107}
}

@article{MTMT:22403814,
	title = {Coupled Noisy Spiking Neurons as Velocity-Controlled Oscillators in a Model of Grid Cell Spatial Firing},
	url = {https://m2.mtmt.hu/api/publication/22403814},
	author = {Zilli, EA and Hasselmo, ME},
	doi = {10.1523/JNEUROSCI.0547-10.2010},
	journal-iso = {J NEUROSCI},
	journal = {JOURNAL OF NEUROSCIENCE},
	volume = {30},
	unique-id = {22403814},
	issn = {0270-6474},
	year = {2010},
	eissn = {1529-2401},
	pages = {13850-13860}
}

@article{MTMT:1946442,
	title = {Binding by asynchrony: the neuronal phase code.},
	url = {https://m2.mtmt.hu/api/publication/1946442},
	author = {Nádasdy, Zoltán},
	doi = {10.3389/fnins.2010.00051},
	journal-iso = {FRONT NEUROSCI-SWITZ},
	journal = {FRONTIERS IN NEUROSCIENCE},
	volume = {4},
	unique-id = {1946442},
	issn = {1662-4548},
	abstract = {Neurons display continuous subthreshold oscillations and discrete action potentials (APs). When APs are phase-locked to the subthreshold oscillation, we hypothesize they represent two types of information: the presence/absence of a sensory feature and the phase of subthreshold oscillation. If subthreshold oscillation phases are neuron-specific, then the sources of APs can be recovered based on the AP times. If the spatial information about the stimulus is converted to AP phases, then APs from multiple neurons can be combined into a single axon and the spatial configuration reconstructed elsewhere. For the reconstruction to be successful, we introduce two assumptions: that a subthreshold oscillation field has a constant phase gradient and that coincidences between APs and intracellular subthreshold oscillations are neuron-specific as defined by the "interference principle." Under these assumptions, a phase-coding model enables information transfer between structures and reproduces experimental phenomenons such as phase precession, grid cell architecture, and phase modulation of cortical spikes. This article reviews a recently proposed neuronal algorithm for information encoding and decoding from the phase of APs (Nadasdy, 2009). The focus is given to the principles common across different systems instead of emphasizing system specific differences.},
	year = {2010},
	eissn = {1662-453X},
	orcid-numbers = {Nádasdy, Zoltán/0000-0002-6515-9683}
}

@article{MTMT:21652839,
	title = {Intracellular dynamics of hippocampal place cells during virtual navigation},
	url = {https://m2.mtmt.hu/api/publication/21652839},
	author = {Harvey, CD and Collman, F and Dombeck, DA and Tank, DW},
	doi = {10.1038/nature08499},
	journal-iso = {NATURE},
	journal = {NATURE},
	volume = {461},
	unique-id = {21652839},
	issn = {0028-0836},
	year = {2009},
	eissn = {1476-4687},
	pages = {941-U196}
}

@article{MTMT:21652838,
	title = {A phase code for memory could arise from circuit mechanisms in entorhinal cortex},
	url = {https://m2.mtmt.hu/api/publication/21652838},
	author = {Hasselmo, ME and Brandon, MP and Yoshida, M and Giocomo, LM and Heys, JG and Fransen, E and Newman, EL and Zilli, EA},
	doi = {10.1016/j.neunet.2009.07.012},
	journal-iso = {NEURAL NETWORKS},
	journal = {NEURAL NETWORKS},
	volume = {22},
	unique-id = {21652838},
	issn = {0893-6080},
	year = {2009},
	eissn = {1879-2782},
	pages = {1129-1138}
}

@article{MTMT:21652836,
	title = {Complementary Theta Resonance Filtering by Two Spatially Segregated Mechanisms in CA1 Hippocampal Pyramidal Neurons},
	url = {https://m2.mtmt.hu/api/publication/21652836},
	author = {Hu, H and Vervaeke, K and Graham, LJ and Storm, JF},
	doi = {10.1523/JNEUROSCI.0187-09.2009},
	journal-iso = {J NEUROSCI},
	journal = {JOURNAL OF NEUROSCIENCE},
	volume = {29},
	unique-id = {21652836},
	issn = {0270-6474},
	year = {2009},
	eissn = {1529-2401},
	pages = {14472-14483}
}

@article{MTMT:1290343,
	title = {Distance coding strategies based on the entorhinal grid cell system},
	url = {https://m2.mtmt.hu/api/publication/1290343},
	author = {Huhn, Zsófia and Somogyvári, Zoltán and Kiss, Tamás and Érdi, Péter},
	doi = {10.1016/j.neunet.2009.06.029},
	journal-iso = {NEURAL NETWORKS},
	journal = {NEURAL NETWORKS},
	volume = {22},
	unique-id = {1290343},
	issn = {0893-6080},
	abstract = {Estimating and keeping track of the distance from salient points 
		of the environment are important constituents of the spatial 
		awareness and navigation. In rodents, the majority of principal 
		cells in the hippocampus are known to be correlated with the 
		position of the animal. However, the lack of topography in the 
		hippocampal cognitive map does not support the assumption that 
		connections between these cells are able to store and recall 
		distances between coded positions. In contrast, the firing 
		fields of the grid cells in the medial entorhinal Cortex form 
		triangular grids and are organized on metrical principles. We 
		suggest a model in which a hypothesized 'distance cell' 
		population is able to extract metrics from the activity of grid 
		cells. We show that storing the momentary activity pattern of 
		the grid cell system in a freely chosen position by one-shot 
		learning and comparing it to the actual grid activity at other 
		positions results in a distance dependent activity of these 
		cells. The actual distance of the animal from the origin can be 
		decoded directly by selecting the distance cell receiving the 
		largest excitation or indirectly via transmission of local 
		interneurons. We found that direct decoding works up to the 
		longest grid spacing, but fails on smaller scales, while the 
		indirect way provides precise distance determination up to the 
		half of the longest grid spacing. In both cases, simulated 
		distance cells have a multi-peaked, patchy spatial activity 
		pattern consistent with the experimentally observed behavior of 
		granule cells in the dentate gyrus. (C) 2009 Elsevier Ltd. All 
		rights reserved.},
	year = {2009},
	eissn = {1879-2782},
	pages = {536-543}
}

@{MTMT:25875438,
	title = {Hippocampal Neurophysiology in the Behaving Animal},
	url = {https://m2.mtmt.hu/api/publication/25875438},
	author = {John, O},
	booktitle = {The Hippocampus Book},
	doi = {10.1093/acprof:oso/9780195100273.003.0011},
	publisher = {OUP},
	unique-id = {25875438},
	year = {2009},
	pages = {475-578}
}

@article{MTMT:25003727,
	title = {Neuronal oscillations and the rate-to-phase transform: mechanism, model and mutual information},
	url = {https://m2.mtmt.hu/api/publication/25003727},
	author = {McLelland, Douglas and Paulsen, Ole},
	doi = {10.1113/jphysiol.2008.164111},
	journal-iso = {J PHYSIOL-LONDON},
	journal = {JOURNAL OF PHYSIOLOGY-LONDON},
	volume = {587},
	unique-id = {25003727},
	issn = {0022-3751},
	year = {2009},
	eissn = {1469-7793},
	pages = {769-785}
}

@article{MTMT:31269889,
	title = {Theta Oscillations Provide Temporal Windows for Local Circuit Computation in the Entorhinal-Hippocampal Loop},
	url = {https://m2.mtmt.hu/api/publication/31269889},
	author = {Mizuseki, K and Sirota, A and Pastalkova, E and Buzsaki, G},
	doi = {10.1016/j.neuron.2009.08.037},
	journal-iso = {NEURON},
	journal = {NEURON},
	volume = {64},
	unique-id = {31269889},
	issn = {0896-6273},
	year = {2009},
	eissn = {1097-4199},
	pages = {267-280}
}

@article{MTMT:1946444,
	title = {Information encoding and reconstruction from the phase of action potentials.},
	url = {https://m2.mtmt.hu/api/publication/1946444},
	author = {Nádasdy, Zoltán},
	doi = {10.3389/neuro.06.006.2009},
	journal-iso = {FRONT SYST NEUROSCI},
	journal = {FRONTIERS IN SYSTEMS NEUROSCIENCE},
	volume = {3},
	unique-id = {1946444},
	abstract = {Fundamental questions in neural coding are how neurons encode, transfer, and reconstruct information from the pattern of action potentials (APs) exchanged between different brain structures. We propose a general model of neural coding where neurons encode information by the phase of their APs relative to their subthreshold membrane oscillations. We demonstrate by means of simulations that AP phase retains the spatial and temporal content of the input under the assumption that the membrane potential oscillations are coherent across neurons and between structures and have a constant spatial phase gradient. The model explains many unresolved physiological observations and makes a number of concrete, testable predictions about the relationship between APs, local field potentials, and subthreshold membrane oscillations, and provides an estimate of the spatio-temporal precision of neuronal information processing.},
	year = {2009},
	eissn = {1662-5137},
	orcid-numbers = {Nádasdy, Zoltán/0000-0002-6515-9683}
}

@{MTMT:24671823,
	title = {Computational Models of the Spatial and Mnemonic Functions of the Hippocampus},
	url = {https://m2.mtmt.hu/api/publication/24671823},
	author = {Neil, B},
	booktitle = {The Hippocampus Book},
	doi = {10.1093/acprof:oso/9780195100273.003.0014},
	publisher = {OUP},
	unique-id = {24671823},
	year = {2009}
}

@article{MTMT:22403819,
	title = {MODE LOCKING IN A SPATIALLY EXTENDED NEURON MODEL: ACTIVE SOMA AND COMPARTMENTAL TREE},
	url = {https://m2.mtmt.hu/api/publication/22403819},
	author = {Svensson, CM and Coombes, S},
	doi = {10.1142/S0218127409024347},
	journal-iso = {INT J BIFURCAT CHAOS},
	journal = {INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS},
	volume = {19},
	unique-id = {22403819},
	issn = {0218-1274},
	year = {2009},
	eissn = {1793-6551},
	pages = {2597-2607}
}

@article{MTMT:21652833,
	title = {Evaluation of the Oscillatory Interference Model of Grid Cell Firing through Analysis and Measured Period Variance of Some Biological Oscillators},
	url = {https://m2.mtmt.hu/api/publication/21652833},
	author = {Zilli, EA and Yoshida, M and Tahvildari, B and Giocomo, LM and Hasselmo, ME},
	doi = {10.1371/journal.pcbi.1000573},
	journal-iso = {PLOS COMPUT BIOL},
	journal = {PLOS COMPUTATIONAL BIOLOGY},
	volume = {5},
	unique-id = {21652833},
	issn = {1553-734X},
	year = {2009},
	eissn = {1553-7358}
}

@article{MTMT:20621263,
	title = {Conversion of a Phase- to a Rate-Coded Position Signal by a Three-Stage Model of Theta Cells, Grid Cells, and Place Cells},
	url = {https://m2.mtmt.hu/api/publication/20621263},
	author = {Blair, HT and Gupta, K and Zhang, KC},
	doi = {10.1002/hipo.20509},
	journal-iso = {HIPPOCAMPUS},
	journal = {HIPPOCAMPUS},
	volume = {18},
	unique-id = {20621263},
	issn = {1050-9631},
	year = {2008},
	eissn = {1098-1063},
	pages = {1239-1255}
}

@article{MTMT:26582399,
	title = {Grid Cells and Theta as Oscillatory Interference: Theory and Predictions},
	url = {https://m2.mtmt.hu/api/publication/26582399},
	author = {Burgess, N},
	doi = {10.1002/hipo.20518},
	journal-iso = {HIPPOCAMPUS},
	journal = {HIPPOCAMPUS},
	volume = {18},
	unique-id = {26582399},
	issn = {1050-9631},
	year = {2008},
	eissn = {1098-1063},
	pages = {1157-1174}
}

@article{MTMT:20621264,
	title = {Computation by Oscillations: Implications of Experimental Data for Theoretical Models of Grid Cells},
	url = {https://m2.mtmt.hu/api/publication/20621264},
	author = {Giocomo, LM and Hasselmo, ME},
	doi = {10.1002/hipo.20501},
	journal-iso = {HIPPOCAMPUS},
	journal = {HIPPOCAMPUS},
	volume = {18},
	unique-id = {20621264},
	issn = {1050-9631},
	year = {2008},
	eissn = {1098-1063},
	pages = {1186-1199}
}

@article{MTMT:21654588,
	title = {Linking cellular mechanisms to behavior: Entorhinal persistent spiking and membrane potential oscillations may underlie path integration, grid cell firing, and episodic memory},
	url = {https://m2.mtmt.hu/api/publication/21654588},
	author = {Hasselmo, M E and Brandon, M P},
	doi = {10.1155/2008/658323},
	journal-iso = {J NEURAL TRANSP PLAS},
	journal = {JOURNAL OF NEURAL TRANSPLANTATION & PLASTICITY},
	volume = {2008},
	unique-id = {21654588},
	issn = {0792-8483},
	year = {2008}
}

@article{MTMT:22882487,
	title = {Grid Cell Mechanisms and Function: Contributions of Entorhinal Persistent Spiking and Phase Resetting},
	url = {https://m2.mtmt.hu/api/publication/22882487},
	author = {Hasselmo, ME},
	doi = {10.1002/hipo.20512},
	journal-iso = {HIPPOCAMPUS},
	journal = {HIPPOCAMPUS},
	volume = {18},
	unique-id = {22882487},
	issn = {1050-9631},
	year = {2008},
	eissn = {1098-1063},
	pages = {1213-1229}
}

@article{MTMT:20621256,
	title = {Temporally structured replay of neural activity in a model of entorhinal cortex, hippocampus and postsubiculum},
	url = {https://m2.mtmt.hu/api/publication/20621256},
	author = {Hasselmo, ME},
	doi = {10.1111/j.1460-9568.2008.06437.x},
	journal-iso = {EUR J NEUROSCI},
	journal = {EUROPEAN JOURNAL OF NEUROSCIENCE},
	volume = {28},
	unique-id = {20621256},
	issn = {0953-816X},
	year = {2008},
	eissn = {1460-9568},
	pages = {1301-1315}
}

@article{MTMT:20782115,
	title = {Theta phase–specific codes for two-dimensional position, trajectory and heading in the hippocampus},
	url = {https://m2.mtmt.hu/api/publication/20782115},
	author = {Huxter, JR and Senior, TJ and Allen, K and Csicsvari, J},
	doi = {10.1038/nn.2106},
	journal-iso = {NAT NEUROSCI},
	journal = {NATURE NEUROSCIENCE},
	volume = {11},
	unique-id = {20782115},
	issn = {1097-6256},
	year = {2008},
	eissn = {1546-1726},
	pages = {587-594}
}

@article{MTMT:24854961,
	title = {Theta-mediated dynamics of spatial information in hippocampus},
	url = {https://m2.mtmt.hu/api/publication/24854961},
	author = {Itskov, Vladimir and Pastalkova, Eva and Mizuseki, Kenji and Buzsaki, Gyoergy and Harris, Kenneth D},
	doi = {10.1523/JNEUROSCI.5262-07.2008},
	journal-iso = {J NEUROSCI},
	journal = {JOURNAL OF NEUROSCIENCE},
	volume = {28},
	unique-id = {24854961},
	issn = {0270-6474},
	year = {2008},
	eissn = {1529-2401},
	pages = {5959-5964}
}

@article{MTMT:10043038,
	title = {Grid cells and theta as oscillatory interference: electrophysiological data from freely moving rats},
	url = {https://m2.mtmt.hu/api/publication/10043038},
	author = {Jeewajee, A and Barry, C and O, Keefe J and Burgess, N},
	doi = {10.1002/hipo.20510},
	journal-iso = {HIPPOCAMPUS},
	journal = {HIPPOCAMPUS},
	volume = {18},
	unique-id = {10043038},
	issn = {1050-9631},
	year = {2008},
	eissn = {1098-1063},
	pages = {1175-1185}
}

@article{MTMT:20621262,
	title = {Entorhinal theta phase precession sculpts dentate gyrus place fields},
	url = {https://m2.mtmt.hu/api/publication/20621262},
	author = {Molter, C and Yamaguchi, Y},
	doi = {10.1002/hipo.20450},
	journal-iso = {HIPPOCAMPUS},
	journal = {HIPPOCAMPUS},
	volume = {18},
	unique-id = {20621262},
	issn = {1050-9631},
	year = {2008},
	eissn = {1098-1063},
	pages = {919-930}
}

@article{MTMT:20444821,
	title = {Place cells, grid cells, and the brain's spatial representation system},
	url = {https://m2.mtmt.hu/api/publication/20444821},
	author = {Moser, E I and Kropff, E and Moser, M -B},
	doi = {10.1146/annurev.neuro.31.061307.090723},
	journal-iso = {ANNU REV NEUROSCI},
	journal = {ANNUAL REVIEW OF NEUROSCIENCE},
	volume = {31},
	unique-id = {20444821},
	issn = {0147-006X},
	year = {2008},
	eissn = {1545-4126},
	pages = {69-89}
}