gabor szirtes
gabor szirtes
Realeyes OU
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Cited by
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The mystery of structure and function of sensory processing areas of the neocortex: a resolution
A Lőrincz, B Szatmáry, G Szirtes
Journal of Computational Neuroscience 13 (3), 187-205, 2002
Integral equation methods for computing likelihoods and their derivatives in the stochastic integrate-and-fire model
L Paninski, A Haith, G Szirtes
Journal of Computational Neuroscience 24 (1), 69-79, 2008
Neural kalman filter
G Szirtes, B Póczos, A Lőrincz
Neurocomputing 65, 349-355, 2005
Categories, prototypes and memory systems in Alzheimer's disease
S Kéri, Z Janka, G Benedek, P Aszalós, B Szatmáry, G Szirtes, A Lörincz
Trends in Cognitive Sciences 6 (3), 132-136, 2002
Efficient sparse coding in early sensory processing: lessons from signal recovery
A Lörincz, Z Palotai, G Szirtes
PLoS computational biology 8 (3), e1002372, 2012
Relating priming and repetition suppression
A Lörincz, G Szirtes, B Takács, I Biederman, R Vogels
International journal of neural systems 12 (03n04), 187-201, 2002
Here and now: how time segments may become events in the hippocampus
A Lőrincz, G Szirtes
Neural Networks 22 (5-6), 738-747, 2009
Perception based method for the investigation of audiovisual integration of speech
Z Huhn, G Szirtes, A Lőrincz, V Csépe
Neuroscience letters 465 (3), 204-209, 2009
Post nonlinear independent subspace analysis
Z Szabó, B Póczos, G Szirtes, A Lőrincz
International Conference on Artificial Neural Networks, 677-686, 2007
Spike-based cross-entropy method for reconstruction
A Lőrincz, Z Palotai, G Szirtes
Neurocomputing 71 (16-18), 3635-3639, 2008
Robust hierarchical image representation using non-negative matrix factorisation with sparse code shrinkage preprocessing
B Szatmáry, G Szirtes, A Lörincz, J Eggert, E Körner
Pattern Analysis & Applications 6 (3), 194-200, 2003
Ockham's razor at work: Modeling of the``homunculus''
A Lörincz, B Póczos, G Szirtes, B Takács
Brain and Mind 3 (2), 187-220, 2002
Recognition of novelty made easy: Constraints of channel capacity on generative networks
A Lőrincz, B Szatmáry, G Szirtes, B Takács
Connectionist Models of Learning, Development and Evolution, 73-82, 2001
Sparse and silent coding in neural circuits
A Lőrincz, Z Palotai, G Szirtes
Neurocomputing 79, 115-124, 2012
Sparse and silent coding in neural circuits
A Lőrincz, Z Palotai, G Szirtes
Neurocomputing 79, 115-124, 2012
Emerging evolutionary features in noise driven STDP networks?
Z Palotai, G Szirtes, A Lorincz
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004
Independent component analysis of temporal sequences forms place cells
A Lőrincz, G Szirtes, B Takács, G Buzsáki
Neurocomputing 38, 769-774, 2001
Emergence of scale-free properties in Hebbian networks
G Szirtes, Z Palotai, A Lorincz
arXiv preprint nlin/0308013, 2003
Improving seizure recognition by visual reinforcement
A Fogarasi, G Szirtes, G Zsiák, A Lorincz
Neurology, Psychiatry and Brain Research 18 (1), 1-7, 2012
Model of the hippocampal formation explains the coexistence of grid cells and place cells
A Lorincz, M Kiszlinger, G Szirtes
arXiv preprint arXiv:0804.3176, 2008
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