@article{MTMT:34819512,
	title = {The connectivity degree controls the difficulty in reservoir design of random boolean networks},
	url = {https://m2.mtmt.hu/api/publication/34819512},
	author = {Calvet, E. and Reulet, B. and Rouat, J.},
	doi = {10.3389/fncom.2024.1348138},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {18},
	unique-id = {34819512},
	issn = {1662-5188},
	year = {2024},
	eissn = {1662-5188}
}

@article{MTMT:34715137,
	title = {Dynamics of antiphase bursting modulated by the inhibitory synaptic and hyperpolarization-activated cation currents},
	url = {https://m2.mtmt.hu/api/publication/34715137},
	author = {Guan, L. and Gu, H. and Zhang, X.},
	doi = {10.3389/fncom.2024.1303925},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {18},
	unique-id = {34715137},
	issn = {1662-5188},
	year = {2024},
	eissn = {1662-5188}
}

@article{MTMT:34585451,
	title = {Information representation in an oscillating neural field model modulated by working memory signals},
	url = {https://m2.mtmt.hu/api/publication/34585451},
	author = {Nesse, William H. and Clark, Kelsey L. and Noudoost, Behrad},
	doi = {10.3389/fncom.2023.1253234},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {17},
	unique-id = {34585451},
	issn = {1662-5188},
	abstract = {We study how stimulus information can be represented in the dynamical signatures of an oscillatory model of neural activity-a model whose activity can be modulated by input akin to signals involved in working memory (WM). We developed a neural field model, tuned near an oscillatory instability, in which the WM-like input can modulate the frequency and amplitude of the oscillation. Our neural field model has a spatial-like domain in which an input that preferentially targets a point-a stimulus feature-on the domain will induce feature-specific activity changes. These feature-specific activity changes affect both the mean rate of spikes and the relative timing of spiking activity to the global field oscillation-the phase of the spiking activity. From these two dynamical signatures, we define both a spike rate code and an oscillatory phase code. We assess the performance of these two codes to discriminate stimulus features using an information-theoretic analysis. We show that global WM input modulations can enhance phase code discrimination while simultaneously reducing rate code discrimination. Moreover, we find that the phase code performance is roughly two orders of magnitude larger than that of the rate code defined for the same model solutions. The results of our model have applications to sensory areas of the brain, to which prefrontal areas send inputs reflecting the content of WM. These WM inputs to sensory areas have been established to induce oscillatory changes similar to our model. Our model results suggest a mechanism by which WM signals may enhance sensory information represented in oscillatory activity beyond the comparatively weak representations based on the mean rate activity.},
	keywords = {PHASE; INFORMATION THEORY; working memory; computational model; neural coding},
	year = {2024},
	eissn = {1662-5188}
}

@article{MTMT:34819514,
	title = {Excitatory/inhibitory balance emerges as a key factor for RBN performance, overriding attractor dynamics},
	url = {https://m2.mtmt.hu/api/publication/34819514},
	author = {Calvet, E. and Rouat, J. and Reulet, B.},
	doi = {10.3389/fncom.2023.1223258},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {17},
	unique-id = {34819514},
	issn = {1662-5188},
	year = {2023},
	eissn = {1662-5188}
}

@article{MTMT:34714439,
	title = {Spatial frequency channels depend on stimulus bandwidth in normal and amblyopic vision: an exploratory factor analysis},
	url = {https://m2.mtmt.hu/api/publication/34714439},
	author = {Reynaud, A. and Min, S.H.},
	doi = {10.3389/fncom.2023.1241455},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {17},
	unique-id = {34714439},
	issn = {1662-5188},
	abstract = {The Contrast Sensitivity Function (CSF) is the measure of an observer’s contrast sensitivity as a function of spatial frequency. It is a sensitive measure to assess visual function in fundamental and clinical settings. Human contrast sensitivity is subserved by different spatial frequency channels. Also, it is known that amblyopes have deficits in contrast sensitivity, particularly at high spatial frequencies. Therefore, the aim of this study was to assess whether the contrast sensitivity function is subtended by the same spatial frequency channels in control and amblyopic populations. To determine these spatial frequency channels, we performed an exploratory factor analysis on five datasets of contrasts sensitivity functions of amblyopic and control participants measured using either gratings or noise patches, taken from our previous studies. In the range of 0.25–10 c/d, we identified two spatial frequency channels. When the CSF was measured with noise patches, the spatial frequency channels presented very similar tuning in the amblyopic eye and the fellow eye and were also similar to what was observed in controls. The only major difference was that the weight attributed to the high frequency channel was reduced by approximately 50% in the amblyopic eye. However, when the CSF was measured using gratings, the spatial frequency channels of the amblyopic eye were tuned toward lower spatial frequencies. These findings suggest that there is no mechanistic deficit for contrast sensitivity in amblyopia and that amblyopic vision may just be subjected to excessive internal noise and attenuation at higher spatial frequencies, thereby supporting the use of therapeutic strategies that involve rebalancing contrast. Copyright © 2023 Reynaud and Min.},
	keywords = {ARTICLE; VISION; human; Sensitivity analysis; controlled study; NOISE; NOISE; NOISE; stimulus; cerebrospinal fluid; contrast sensitivity; contrast sensitivity; contrast sensitivity; AMBLYOPIA; AMBLYOPIA; AMBLYOPIA; histogram; Multivariant analysis; Factor analysis; Factor analysis; spatial analysis; spatial frequency; Bandwidth; Spatial variables measurement; Local field potential; exploratory factor analysis; In-control; factors analysis; sensitivity functions; Visual functions; High spatial frequency; spatial frequency channels; spatial frequency channels},
	year = {2023},
	eissn = {1662-5188}
}

@article{MTMT:34662933,
	title = {Consciousness, 4E cognition and Aristotle: a few conceptual and historical aspects},
	url = {https://m2.mtmt.hu/api/publication/34662933},
	author = {Stanciu, Diana},
	doi = {10.3389/fncom.2023.1204602},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {17},
	unique-id = {34662933},
	issn = {1662-5188},
	keywords = {Consciousness; CAUSALITY; Aristotle; 4E cognition; the mind-body problem; neurophysiological phenomena related to consciousness; brain networks dynamics; active intellect},
	year = {2023},
	eissn = {1662-5188}
}

@article{MTMT:34661855,
	title = {Enhanced representation learning with temporal coding in sparsely spiking neural networks},
	url = {https://m2.mtmt.hu/api/publication/34661855},
	author = {Fois, Adrien and Girau, Bernard},
	doi = {10.3389/fncom.2023.1250908},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {17},
	unique-id = {34661855},
	issn = {1662-5188},
	keywords = {TEMPORAL CODE; Sparsity; Unsupervised learning; visual representations; Spiking neural networks; latency-coding; spike-timing-dependent plasticity; Representation learning},
	year = {2023},
	eissn = {1662-5188}
}

@article{MTMT:34661014,
	title = {Cellular computation and cognition},
	url = {https://m2.mtmt.hu/api/publication/34661014},
	author = {Fitch, W. Tecumseh},
	doi = {10.3389/fncom.2023.1107876},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {17},
	unique-id = {34661014},
	issn = {1662-5188},
	keywords = {cognition; Dendrites; NEURAL NETWORK MODELS; Cellular computing; Computational neuroscience; dendritic computing},
	year = {2023},
	eissn = {1662-5188}
}

@article{MTMT:34649973,
	title = {Bio-inspired circular latent spaces to estimate objects' rotations},
	url = {https://m2.mtmt.hu/api/publication/34649973},
	author = {Plebe, Alice and Da Lio, Mauro},
	doi = {10.3389/fncom.2023.1268116},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {17},
	unique-id = {34649973},
	issn = {1662-5188},
	keywords = {Bio-inspired neural networks; robotic grasping; neuro-inspired artificial intelligence; rotation detection; ellipsoid body},
	year = {2023},
	eissn = {1662-5188}
}

@article{MTMT:34634746,
	title = {Altered synaptic plasticity at hippocampal CA1-CA3 synapses in Alzheimer's disease: integration of amyloid precursor protein intracellular domain and amyloid beta effects into computational models},
	url = {https://m2.mtmt.hu/api/publication/34634746},
	author = {Dainauskas, Justinas J. and Vitale, Paola and Moreno, Sebastien and Marie, Helene and Migliore, Michele and Saudargiene, Ausra},
	doi = {10.3389/fncom.2023.1305169},
	journal-iso = {FRONT COMPUT NEUROSC},
	journal = {FRONTIERS IN COMPUTATIONAL NEUROSCIENCE},
	volume = {17},
	unique-id = {34634746},
	issn = {1662-5188},
	keywords = {SYNAPTIC PLASTICITY; Alzheimer's disease; NMDA receptor; amyloid beta; CA1 pyramidal neuron; GluN2B-NMDA receptor subunit; amyloid precursor protein intracellular domain; Schaffer collateral synapses},
	year = {2023},
	eissn = {1662-5188}
}