Követés
Mihály Bányai
Mihály Bányai
Max Planck Institute for Biological Cybernetics
E-mail megerősítve itt: tuebingen.mpg.de - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Model-based dynamical analysis of functional disconnection in schizophrenia
M Bányai, VA Diwadkar, P Érdi
Neuroimage 58 (3), 870-877, 2011
452011
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
352019
Pathological effects of cortical architecture on working memory in schizophrenia
CD Gore, M Banyai, PJ Gray, V Diwadkar, P Erdi
Pharmacopsychiatry 43 (S 01), S92-S97, 2010
142010
Noise correlations and perceptual inference
M Bányai, G Orbán
Current opinion in neurobiology 58, 209-217, 2019
52019
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
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
Organization of signal flow in directed networks
M Bányai, L Négyessy, F Bazsó
Journal of Statistical Mechanics: theory and experiment 2011 (06), P06001, 2011
42011
Stimulus content shapes cortical response statistics
M Bányai, A Lazar, L Klein, J Klon-Lipok, W Singer, G Orbán
bioRxiv, 238774, 2017
32017
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
32015
Impairments in the prefronto-hippocampal interactions explain associative learning deficit in schizophrenia
M Bányai, B Ujfalussy, V Diwadkar, P Érdi
BMC Neuroscience 12 (1), 1-2, 2011
22011
Convergence properties of some random networks
M Bányai, T Nepusz, L Négyessy, F Bazsó
2009 7th International Symposium on Intelligent Systems and Informatics, 241-245, 2009
22009
Hierarchical semantic compression predicts texture selectivity in early vision
M Bányai, DG Nagy, G Orbán
Proceedings of the Conference on Cognitive Computational Neuroscience, 2019
12019
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
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
12011
Variational Autoencoder account of the early visual hierarchy
G Orban, M Banyai, D Nagy
Computational and Systems Neuroscience Meeting (COSYNE 2020), 165-166, 2020
2020
Hierarchical semantic compression predicts texture selectivity in early vision
B Mihály, N Dávid G., O Gergő
2019 Conference on Cognitive Computational Neuroscience, 13-16 September …, 2019
2019
The contribution of response correlations to the neural code of V1
M Bányai, M Stippinger, D Szalai, G Orbán, A Lazar, L Klein, J Klon-Lipok, ...
Conference on Cognitive Computational Neuroscience (CCN 2018), 1-4, 2018
2018
Top-down perceptual effects in cortical response statistics
M Bányai, A Lazar, W Singer, G Orbán
Bernstein Conference 2017, 125-126, 2017
2017
Model-based analysis of functional connectivity during associative learning in schizophrenia
M Bányai, V Diwadkar, P Érdi
Advances in Cognitive Neurodynamics (III), 787-793, 2013
2013
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Cikkek 1–20