Mihály Bányai
Mihály Bányai
Wigner Research Centre for Physics, Hungarian Academy of Sciences
E-mail megerősítve itt: wigner.mta.hu - Kezdőlap
CímIdézteÉv
Model-based dynamical analysis of functional disconnection in schizophrenia
M Bányai, VA Diwadkar, P Érdi
Neuroimage 58 (3), 870-877, 2011
322011
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
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
42019
Population activity statistics dissect subthreshold and spiking variability in V1
M Bányai, Z Koman, G Orbán
Journal of neurophysiology 118 (1), 29-46, 2017
42017
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
32012
Organization of signal flow in directed networks
M Bányai, L Négyessy, F Bazsó
Journal of Statistical Mechanics: theory and experiment 2011 (06), P06001, 2011
32011
Impairments in the prefronto-hippocampal interactions explain associative learning deficit in schizophrenia
M Bányai, B Ujfalussy, V Diwadkar, P Érdi
BMC neuroscience 12 (1), P93, 2011
22011
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
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
12015
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
Convergence properties of some random networks
M Bányai, T Nepusz, L Negyessy, F Bazso
2009 7th International Symposium on Intelligent Systems and Informatics, 241-245, 2009
12009
Noise correlations and perceptual inference
M Bányai, G Orbán
Current opinion in neurobiology 58, 209-217, 2019
2019
Stimulus content shapes cortical response statistics
M Bányai, A Lazar, L Klein, J Klon-Lipok, W Singer, G Orbán
bioRxiv, 238774, 2017
2017
Introduction to Cognitive Systems
P Érdi, M Bányai
HANDBOOK ON COMPUTATIONAL INTELLIGENCE: Volume 1: Fuzzy Logic, Systems …, 2016
2016
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
NETWORK MODELING OF LEARNING IN SCHIZOPHRENIA
M BANYAI
19TH PHD MINI-SYMPOSIUM, 12, 2012
2012
Entorhinal cortex dentate gyrus system implements an optimal device for distance representation
Z Somogyvari, M Bányai, Z Huhn, T Kiss, P Erdi
Front. Syst. Neurosci. Conference Abstract: 12th Meeting of the Hungarian …, 2009
2009
Complex Systems and Computational Neuroscience Group
P ÉRDI, F BAZSÓ, D CSERPÁN, S KÁLMÁNCZI, T KISS, L NÉGYESSY, ...
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–18