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Mihály Bányai
Mihály Bányai
Max Planck Institute for Biological Cybernetics
Dirección de correo verificada de tuebingen.mpg.de - Página principal
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Stimulus complexity shapes response correlations in primary visual cortex
M Bányai, A Lazar, L Klein, J Klon-Lipok, M Stippinger, W Singer, G Orbán
Proceedings of the National Academy of Sciences 116 (7), 2723-2732, 2019
502019
Model-based dynamical analysis of functional disconnection in schizophrenia
M Bányai, VA Diwadkar, P Érdi
Neuroimage 58 (3), 870-877, 2011
502011
Pathological effects of cortical architecture on working memory in schizophrenia
CD Gore, M Bányai, PJ Gray, V Diwadkar, P Erdi
Pharmacopsychiatry 43 (S 01), S92-S97, 2010
152010
Noise correlations and perceptual inference
M Bányai, G Orbán
Current Opinion in Neurobiology 58, 209-217, 2019
92019
Organization of signal flow in directed networks
M Bányai, L Négyessy, F Bazsó
Journal of Statistical Mechanics: theory and experiment 2011 (06), P06001, 2011
62011
Population activity statistics dissect subthreshold and spiking variability in V1
M Bányai, Z Koman, G Orbán
Journal of Neurophysiology 118 (1), 29-46, 2017
52017
Signal transduction pathways of TNAP: molecular network analyses
L Négyessy, B Györffy, J Hanics, M Bányai, C Fonta, F Bazsó
Neuronal Tissue-Nonspecific Alkaline Phosphatase (TNAP), 185-205, 2015
42015
What makes the prefrontal cortex so appealing in the era of brain imaging? A network analytical perspective
L Négyessy, M Bányai, T Nepusz, F Bazsó
Acta Biologica Hungarica 63 (Supplement-1), 38-53, 2012
42012
The schizophrenic brain: A broken hermeneutic circle. Some new insights and results
P Erdi, M Bányai, B Ujfalussy, V Diwadkar
The 2011 International Joint Conference on Neural Networks, 3024-3027, 2011
42011
Hierarchical semantic compression predicts texture selectivity in early vision
M Bányai, DG Nagy, G Orbán
Proceedings of the Conference on Cognitive Computational Neuroscience, 2019
32019
Stimulus content shapes cortical response statistics
M Bányai, A Lazar, L Klein, J Klon-Lipok, W Singer, G Orbán
bioRxiv, 238774, 2017
32017
Convergence properties of some random networks
M Banyai, T Nepusz, L Negyessy, F Bazso
2009 7th International Symposium on Intelligent Systems and Informatics, 241-245, 2009
32009
Impairments in the prefronto-hippocampal interactions explain associative learning deficit in schizophrenia
M Bányai, B Ujfalussy, V Diwadkar, P Érdi
BMC Neuroscience 12, 1-2, 2011
22011
Paying attention to natural scenes in area V1
A Lazar, L Klein, J Klon-Lipok, M Bányai, G Orbán, W Singer
Iscience 27 (2), 2024
12024
Variational autoencoder account of the early visual hierarchy
G Orban, M Banyai, D Nagy
Computational and Systems Neuroscience Meeting (COSYNE 2020), 165-166, 2020
12020
Response statistics dissect the contributions of different sources of variability to population activity in V1
M Bányai, Z Koman, G Orbán
arXiv preprint arXiv:1605.08909, 2016
12016
Introduction to cognitive systems
P Érdi, M Bányai
Handbook on Computational Intelligence: Volume 1: Fuzzy Logic, Systems …, 2016
12016
Selective memory for reward-relevant features is modulated by expertise during reward learning
C Wu, Y Xiong, N Moneta, M Banyai
2023 Conference on Cognitive Computational Neuroscience, 2023
2023
One bottleneck is not enough
M Hamidi, M Bányai, CM Wu
Conference on Cognitive Computational Neuroscience (CCN 2023), 795-798, 2023
2023
Meta-cognitive planning for learning representations
T Shen, P Dayan, M Bányai
Conference on Cognitive Computational Neuroscience (CCN 2023), 425-428, 2023
2023
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20