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 | 53 | 2019 |
Model-based dynamical analysis of functional disconnection in schizophrenia M Bányai, VA Diwadkar, P Érdi Neuroimage 58 (3), 870-877, 2011 | 52 | 2011 |
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 | 16 | 2010 |
Noise correlations and perceptual inference M Bányai, G Orbán Current Opinion in Neurobiology 58, 209-217, 2019 | 9 | 2019 |
Organization of signal flow in directed networks M Bányai, L Négyessy, F Bazsó Journal of Statistical Mechanics: theory and experiment 2011 (06), P06001, 2011 | 7 | 2011 |
Population activity statistics dissect subthreshold and spiking variability in V1 M Bányai, Z Koman, G Orbán Journal of Neurophysiology 118 (1), 29-46, 2017 | 5 | 2017 |
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 | 5 | 2012 |
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 | 4* | 2019 |
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 | 4 | 2015 |
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 | 4 | 2011 |
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 | 3 | 2024 |
Stimulus content shapes cortical response statistics M Bányai, A Lazar, L Klein, J Klon-Lipok, W Singer, G Orbán bioRxiv, 238774, 2017 | 3 | 2017 |
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 | 3 | 2011 |
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 | 3 | 2009 |
Variational autoencoder account of the early visual hierarchy G Orban, M Banyai, D Nagy Computational and Systems Neuroscience Meeting (COSYNE 2020), 165-166, 2020 | 1 | 2020 |
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 | 1 | 2016 |
Introduction to cognitive systems P Érdi, M Bányai Handbook on Computational Intelligence: Volume 1: Fuzzy Logic, Systems …, 2016 | 1 | 2016 |
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 |