@article{MTMT:34749015,
	title = {Synaptic and dendritic architecture of different types of hippocampal somatostatin interneurons},
	url = {https://m2.mtmt.hu/api/publication/34749015},
	author = {Tresóné Takács, Virág and Bardóczi, Zsuzsanna and Orosz, Áron and Major, Ábel and Tar, Luca and Berki, Péter and Papp, Péter and Mayer, Márton István and Sebők, Hunor and Zsolt, Luca and Sós, Katalin Eszter and Káli, Szabolcs and Freund, Tamás and Nyíri, Gábor},
	doi = {10.1371/journal.pbio.3002539},
	journal-iso = {PLOS BIOL},
	journal = {PLOS BIOLOGY},
	volume = {22},
	unique-id = {34749015},
	issn = {1544-9173},
	abstract = {GABAergic inhibitory neurons fundamentally shape the activity and plasticity of cortical circuits. A major subset of these neurons contains somatostatin (SOM); these cells play crucial roles in neuroplasticity, learning, and memory in many brain areas including the hippocampus, and are implicated in several neuropsychiatric diseases and neurodegenerative disorders. Two main types of SOM-containing cells in area CA1 of the hippocampus are oriens-lacunosum-moleculare (OLM) cells and hippocampo-septal (HS) cells. These cell types show many similarities in their soma-dendritic architecture, but they have different axonal targets, display different activity patterns in vivo, and are thought to have distinct network functions. However, a complete understanding of the functional roles of these interneurons requires a precise description of their intrinsic computational properties and their synaptic interactions. In the current study we generated, analyzed, and make available several key data sets that enable a quantitative comparison of various anatomical and physiological properties of OLM and HS cells in mouse. The data set includes detailed scanning electron microscopy (SEM)-based 3D reconstructions of OLM and HS cells along with their excitatory and inhibitory synaptic inputs. Combining this core data set with other anatomical data, patch-clamp electrophysiology, and compartmental modeling, we examined the precise morphological structure, inputs, outputs, and basic physiological properties of these cells. Our results highlight key differences between OLM and HS cells, particularly regarding the density and distribution of their synaptic inputs and mitochondria. For example, we estimated that an OLM cell receives about 8,400, whereas an HS cell about 15,600 synaptic inputs, about 16% of which are GABAergic. Our data and models provide insight into the possible basis of the different functionality of OLM and HS cell types and supply essential information for more detailed functional models of these neurons and the hippocampal network.},
	year = {2024},
	eissn = {1545-7885},
	orcid-numbers = {Tresóné Takács, Virág/0000-0002-3276-4131}
}

@article{MTMT:34400320,
	title = {Author Correction: The medial septum controls hippocampal supra-theta oscillations},
	url = {https://m2.mtmt.hu/api/publication/34400320},
	author = {Király, Bálint and Domonkos, Andor and Jelitai, Márta and Lopes-dos-Santos, Vítor and Martínez-Bellver, Sergio and Kocsis, Barnabás and Schlingloff, Dániel and Joshi, Abhilasha and Salib, Minas and Fiáth, Richárd and Barthó, Péter and Ulbert, István and Freund, Tamás and Viney, Tim J. and Dupret, David and Varga, Viktor and Hangya, Balázs},
	doi = {10.1038/s41467-023-43190-6},
	journal-iso = {NAT COMMUN},
	journal = {NATURE COMMUNICATIONS},
	volume = {14},
	unique-id = {34400320},
	issn = {2041-1723},
	year = {2023},
	eissn = {2041-1723},
	orcid-numbers = {Lopes-dos-Santos, Vítor/0000-0002-1858-0125; Joshi, Abhilasha/0000-0002-0511-3747; Salib, Minas/0000-0001-9938-7978; Fiáth, Richárd/0000-0001-8732-2691; Ulbert, István/0000-0001-9941-9159; Viney, Tim J./0000-0001-6444-1188; Dupret, David/0000-0002-0040-1766}
}

@article{MTMT:34188237,
	title = {The medial septum controls hippocampal supra-theta oscillations},
	url = {https://m2.mtmt.hu/api/publication/34188237},
	author = {Király, Bálint and Domonkos, Andor and Jelitai, Márta and Lopes-dos-Santos, Vítor and Martínez-Bellver, Sergio and Kocsis, Barnabás and Schlingloff, Dániel and Joshi, Abhilasha and Salib, Minas and Fiáth, Richárd and Barthó, Péter and Ulbert, István and Freund, Tamás and Viney, Tim J. and Dupret, David and Varga, Viktor and Hangya, Balázs},
	doi = {10.1038/s41467-023-41746-0},
	journal-iso = {NAT COMMUN},
	journal = {NATURE COMMUNICATIONS},
	volume = {14},
	unique-id = {34188237},
	issn = {2041-1723},
	abstract = {Hippocampal theta oscillations orchestrate faster beta-to-gamma oscillations facilitating the segmentation of neural representations during navigation and episodic memory. Supra-theta rhythms of hippocampal CA1 are coordinated by local interactions as well as inputs from the entorhinal cortex (EC) and CA3 inputs. However, theta-nested gamma-band activity in the medial septum (MS) suggests that the MS may control supra-theta CA1 oscillations. To address this, we performed multi-electrode recordings of MS and CA1 activity in rodents and found that MS neuron firing showed strong phase-coupling to theta-nested supra-theta episodes and predicted changes in CA1 beta-to-gamma oscillations on a cycle-by-cycle basis. Unique coupling patterns of anatomically defined MS cell types suggested that indirect MS-to-CA1 pathways via the EC and CA3 mediate distinct CA1 gamma-band oscillations. Optogenetic activation of MS parvalbumin-expressing neurons elicited theta-nested beta-to-gamma oscillations in CA1. Thus, the MS orchestrates hippocampal network activity at multiple temporal scales to mediate memory encoding and retrieval.},
	keywords = {NEURONS; hippocampus; Theta rhythm; ENTORHINAL CORTEX; Action Potentials; HIPPOCAMPAL; Parvalbumins; CA1 region},
	year = {2023},
	eissn = {2041-1723},
	orcid-numbers = {Király, Bálint/0000-0001-8483-8780; Lopes-dos-Santos, Vítor/0000-0002-1858-0125; Joshi, Abhilasha/0000-0002-0511-3747; Salib, Minas/0000-0001-9938-7978; Fiáth, Richárd/0000-0001-8732-2691; Ulbert, István/0000-0001-9941-9159; Viney, Tim J./0000-0001-6444-1188; Dupret, David/0000-0002-0040-1766}
}

@article{MTMT:32660835,
	title = {Hippocampal sharp wave-ripples and the associated sequence replay emerge from structured synaptic interactions in a network model of area CA3},
	url = {https://m2.mtmt.hu/api/publication/32660835},
	author = {Ecker, András and Bagi, Bence and Vértes, Eszter and Steinbach-Németh, Orsolya and Karlócai, Rita and Papp, Orsolya I and Miklós, István and Hájos, Norbert and Freund, Tamás and Gulyás, Attila and Káli, Szabolcs},
	doi = {10.7554/eLife.71850},
	journal-iso = {ELIFE},
	journal = {ELIFE},
	volume = {11},
	unique-id = {32660835},
	issn = {2050-084X},
	abstract = {Hippocampal place cells are activated sequentially as an animal explores its environment. These activity sequences are internally recreated ('replayed'), either in the same or reversed order, during bursts of activity (sharp wave-ripples [SWRs]) that occur in sleep and awake rest. SWR-associated replay is thought to be critical for the creation and maintenance of long-term memory. In order to identify the cellular and network mechanisms of SWRs and replay, we constructed and simulated a data-driven model of area CA3 of the hippocampus. Our results show that the chain-like structure of recurrent excitatory interactions established during learning not only determines the content of replay, but is essential for the generation of the SWRs as well. We find that bidirectional replay requires the interplay of the experimentally confirmed, temporally symmetric plasticity rule, and cellular adaptation. Our model provides a unifying framework for diverse phenomena involving hippocampal plasticity, representations, and dynamics, and suggests that the structured neural codes induced by learning may have greater influence over cortical network states than previously appreciated.},
	keywords = {hippocampus; MOUSE; Computational modeling; place cell; spike-timing-dependent plasticity; sequence replay},
	year = {2022},
	eissn = {2050-084X},
	orcid-numbers = {Ecker, András/0000-0001-9635-4169; Gulyás, Attila/0000-0003-4961-636X}
}

@article{MTMT:33041472,
	title = {Huygens synchronization of medial septal pacemaker neurons generates hippocampal theta oscillation},
	url = {https://m2.mtmt.hu/api/publication/33041472},
	author = {Kocsis, Barnabás and Martínez-Bellver, Sergio and Fiáth, Richárd and Domonkos, Andor and Tóthné Sviatkó, Katalin and Schlingloff, Dániel and Barthó, Péter and Freund, Tamás and Ulbert, István and Káli, Szabolcs and Varga, Viktor and Hangya, Balázs},
	doi = {10.1016/j.celrep.2022.111149},
	journal-iso = {CELL REP},
	journal = {CELL REPORTS},
	volume = {40},
	unique-id = {33041472},
	issn = {2211-1247},
	keywords = {hippocampus; Theta; OSCILLATIONS; parvalbumin; synchrony; MEDIAL-SEPTUM},
	year = {2022},
	eissn = {2211-1247},
	orcid-numbers = {Fiáth, Richárd/0000-0001-8732-2691; Tóthné Sviatkó, Katalin/0000-0002-5104-0884; Ulbert, István/0000-0001-9941-9159}
}

@article{MTMT:32528863,
	title = {Activity and Coupling to Hippocampal Oscillations of Median Raphe GABAergic Cells in Awake Mice.},
	url = {https://m2.mtmt.hu/api/publication/32528863},
	author = {Jelitai, Márta and Barth, Albert and Komlósi, Ferenc and Freund, Tamás and Varga, Viktor},
	doi = {10.3389/fncir.2021.784034},
	journal-iso = {FRONT NEURAL CIRCUIT},
	journal = {FRONTIERS IN NEURAL CIRCUITS},
	volume = {15},
	unique-id = {32528863},
	issn = {1662-5110},
	keywords = {GABA; Theta oscillation; Median raphe; Hippocampal ripples; in vivo awake patch-clamp},
	year = {2021},
	eissn = {1662-5110}
}

@article{MTMT:31938779,
	title = {HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data},
	url = {https://m2.mtmt.hu/api/publication/31938779},
	author = {Sáray, Sára and Rössert, Christian A. and Appukuttan, Shailesh and Migliore, Rosanna and Vitale, Paola and Lupascu, Carmen A. and Bologna, Luca L. and Van Geit, Werner and Romani, Armando and Davison, Andrew P. and Muller, Eilif and Freund, Tamás and Káli, Szabolcs},
	doi = {10.1371/journal.pcbi.1008114},
	journal-iso = {PLOS COMPUT BIOL},
	journal = {PLOS COMPUTATIONAL BIOLOGY},
	volume = {17},
	unique-id = {31938779},
	issn = {1553-734X},
	year = {2021},
	eissn = {1553-7358},
	orcid-numbers = {Sáray, Sára/0000-0002-4341-177X; Rössert, Christian A./0000-0002-4839-2424; Appukuttan, Shailesh/0000-0002-0148-8023; Migliore, Rosanna/0000-0001-9034-7849; Vitale, Paola/0000-0001-8725-7201; Bologna, Luca L./0000-0002-7280-9285; Van Geit, Werner/0000-0002-2915-720X; Romani, Armando/0000-0001-6388-4286; Davison, Andrew P./0000-0002-4793-7541; Muller, Eilif/0000-0003-4309-8266}
}

@article{MTMT:31627527,
	title = {Distinct synchronization, cortical coupling and behavioral function of two basal forebrain cholinergic neuron types (vol 93, pg 513, 2020)},
	url = {https://m2.mtmt.hu/api/publication/31627527},
	author = {Laszlovszky, Tamás Kristóf and Schlingloff, Dániel and Hegedüs, Panna and Freund, Tamás and Gulyás, Attila and Kepecs, Adam and Hangya, Balázs},
	doi = {10.1038/s41593-020-0702-y},
	journal-iso = {NAT NEUROSCI},
	journal = {NATURE NEUROSCIENCE},
	volume = {23},
	unique-id = {31627527},
	issn = {1097-6256},
	year = {2020},
	eissn = {1546-1726},
	pages = {1310-1310},
	orcid-numbers = {Hegedüs, Panna/0000-0002-9984-5729; Gulyás, Attila/0000-0003-4961-636X; Kepecs, Adam/0000-0003-0049-8120}
}

@article{MTMT:31357306,
	title = {Distinct synchronization, cortical coupling and behavioral function of two basal forebrain cholinergic neuron types},
	url = {https://m2.mtmt.hu/api/publication/31357306},
	author = {Laszlovszky, Tamás Kristóf and Schlingloff, Dániel and Hegedüs, Panna and Freund, Tamás and Gulyás, Attila and Kepecs, Adam and Hangya, Balázs},
	doi = {10.1038/s41593-020-0648-0},
	journal-iso = {NAT NEUROSCI},
	journal = {NATURE NEUROSCIENCE},
	volume = {23},
	unique-id = {31357306},
	issn = {1097-6256},
	abstract = {Basal forebrain cholinergic neurons (BFCNs) modulate synaptic plasticity, cortical processing, brain states and oscillations. However, whether distinct types of BFCNs support different functions remains unclear. Therefore, we recorded BFCNs in vivo, to examine their behavioral functions, and in vitro, to study their intrinsic properties. We identified two distinct types of BFCNs that differ in their firing modes, synchronization properties and behavioral correlates. Bursting cholinergic neurons (Burst-BFCNs) fired synchronously, phase-locked to cortical theta activity and fired precisely timed bursts after reward and punishment. Regular-firing cholinergic neurons (Reg-BFCNs) were found predominantly in the posterior basal forebrain, displayed strong theta rhythmicity and responded with precise single spikes after behavioral outcomes. In an auditory detection task, synchronization of Burst-BFCNs to the auditory cortex predicted the timing of behavioral responses, whereas tone-evoked cortical coupling of Reg-BFCNs predicted correct detections. We propose that differential recruitment of two basal forebrain cholinergic neuron types generates behavior-specific cortical activation.},
	year = {2020},
	eissn = {1546-1726},
	pages = {992-1003},
	orcid-numbers = {Hegedüs, Panna/0000-0002-9984-5729; Gulyás, Attila/0000-0003-4961-636X}
}

@article{MTMT:31337319,
	title = {Amyloid β induces interneuron-specific changes in the hippocampus of APPNL-F mice},
	url = {https://m2.mtmt.hu/api/publication/31337319},
	author = {Sós, Katalin Eszter and Mayer, Márton István and Tresóné Takács, Virág and Major, Ábel and Bardóczi, Zsuzsanna and Beres, Barnabas M. and Szeles, Tamás and Saito, Takashi and Saido, Takaomi C. and Mody, István and Freund, Tamás and Nyíri, Gábor},
	doi = {10.1371/journal.pone.0233700},
	journal-iso = {PLOS ONE},
	journal = {PLOS ONE},
	volume = {15},
	unique-id = {31337319},
	issn = {1932-6203},
	year = {2020},
	eissn = {1932-6203},
	orcid-numbers = {Tresóné Takács, Virág/0000-0002-3276-4131}
}