| 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, 187-205, 2002 | 32 | 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, 69-79, 2008 | 25 | 2008 |
| Neural kalman filter G Szirtes, B Póczos, A Lőrincz Neurocomputing 65, 349-355, 2005 | 21 | 2005 |
| Efficient sparse coding in early sensory processing: lessons from signal recovery A Lörincz, Z Palotai, G Szirtes PLoS computational biology 8 (3), e1002372, 2012 | 20 | 2012 |
| 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 | 18 | 2002 |
| 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 | 17 | 2009 |
| Here and now: How time segments may become events in the hippocampus A Lőrincz, G Szirtes Neural Networks 22 (5-6), 738-747, 2009 | 15 | 2009 |
| Post nonlinear independent subspace analysis Z Szabó, B Póczos, G Szirtes, A Lőrincz Artificial Neural Networks–ICANN 2007: 17th International Conference, Porto …, 2007 | 14 | 2007 |
| 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 | 14 | 2002 |
| Spike-based cross-entropy method for reconstruction A Lőrincz, Z Palotai, G Szirtes Neurocomputing 71 (16-18), 3635-3639, 2008 | 10 | 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, 194-200, 2003 | 9 | 2003 |
| Ockham's razor at work: Modeling of the``homunculus'' A Lörincz, B Póczos, G Szirtes, B Takács Brain and Mind 3, 187-220, 2002 | 7 | 2002 |
| Recognition of Novelty Made Easy: Constraints of Channel Capacity on Generative Networks. A Lörincz, B Szatmáry, G Szirtes, B Takács NCPW, 73-82, 2000 | 7 | 2000 |
| Sparse and silent coding in neural circuits A Lőrincz, Z Palotai, G Szirtes Neurocomputing 79, 115-124, 2012 | 5 | 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 | 5 | 2004 |
| Independent component analysis of temporal sequences forms place cells A Lőrincz, G Szirtes, B Takács, G Buzsáki Neurocomputing 38, 769-774, 2001 | 5 | 2001 |
| Improving seizure recognition by visual reinforcement A Fogarasi, G Szirtes, G Zsiák, A Lorincz Neurology, Psychiatry and Brain Research 18 (1), 1-7, 2012 | 4 | 2012 |
| Emergence of scale-free properties in Hebbian networks G Szirtes, Z Palotai, A Lorincz arXiv preprint nlin/0308013, 2003 | 4 | 2003 |
| 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 | 3 | 2008 |
| Autoregressive model of the hippocampal representation of events A Lorincz, G Szirtes 2009 International Joint Conference on Neural Networks, 1885-1892, 2009 | 2 | 2009 |
