| Epilepsies as dynamical diseases of brain systems: basic models of the transition between normal and epileptic activity FL Da Silva, W Blanes, SN Kalitzin, J Parra, P Suffczynski, DN Velis Epilepsia 44, 72-83, 2003 | 557 | 2003 |
| Epilepsies as dynamical diseases of brain systems: basic models of the transition between normal and epileptic activity FL Da Silva, W Blanes, SN Kalitzin, J Parra, P Suffczynski, DN Velis Epilepsia 44 (s12), 72-83, 2003 | 557 | 2003 |
| Dynamics of non-convulsive epileptic phenomena modeled by a bistable neuronal network P Suffczynski, S Kalitzin, FHL Da Silva Neuroscience 126 (2), 467-484, 2004 | 408 | 2004 |
| Dynamics of the human alpha rhythm: evidence for non-linearity? CJ Stam, JPM Pijn, P Suffczynski, FHL Da Silva Clinical Neurophysiology 110 (10), 1801-1813, 1999 | 329 | 1999 |
| Dynamical diseases of brain systems: different routes to epileptic seizures FHL da Silva, W Blanes, SN Kalitzin, J Parra, P Suffczynski, DN Velis IEEE transactions on biomedical engineering 50 (5), 540-548, 2003 | 328 | 2003 |
| Computational model of thalamo-cortical networks: dynamical control of alpha rhythms in relation to focal attention P Suffczynski, S Kalitzin, G Pfurtscheller, FHL Da Silva International Journal of Psychophysiology 43 (1), 25-40, 2001 | 321 | 2001 |
| Dynamics of epileptic phenomena determined from statistics of ictal transitions P Suffczynski, FHL Da Silva, J Parra, DN Velis, BM Bouwman, ... IEEE transactions on biomedical engineering 53 (3), 524-532, 2006 | 145 | 2006 |
| Electrical brain-stimulation paradigm for estimating the seizure onset site and the time to ictal transition in temporal lobe epilepsy S Kalitzin, D Velis, P Suffczynski, J Parra, FL Da Silva Clinical neurophysiology 116 (3), 718-728, 2005 | 130 | 2005 |
| On the quantification of SSVEP frequency responses in human EEG in realistic BCI conditions R Kuś, A Duszyk, P Milanowski, M Łabęcki, M Bierzyńska, Z Radzikowska, ... PloS one 8 (10), e77536, 2013 | 118 | 2013 |
| Derivation and analysis of an ordinary differential equation mean-field model for studying clinically recorded epilepsy dynamics F Marten, S Rodrigues, P Suffczynski, MP Richardson, JR Terry Physical Review E 79 (2), 021911, 2009 | 95 | 2009 |
| Towards an optimization of stimulus parameters for brain-computer interfaces based on steady state visual evoked potentials A Duszyk, M Bierzyńska, Z Radzikowska, P Milanowski, R Kuś, ... Plos one 9 (11), e112099, 2014 | 94 | 2014 |
| Event-related dynamics of alpha band rhythms: a neuronal network model of focal ERD-surround ERS P Suffczynski, JPM Pijn, G Pfurtscheller, FH Lopes da Silva AmsterdamElsevier Science, 1999 | 78 | 1999 |
| Epileptic transitions: model predictions and experimental validation P Suffczynski, FL da Silva, J Parra, D Velis, S Kalitzin Journal of clinical neurophysiology 22 (5), 288-299, 2005 | 70 | 2005 |
| Some insights into computational models of (patho) physiological brain activity P Suffczynski, F Wendling, JJ Bellanger, FHL Da Silva Proceedings of the IEEE 94 (4), 784-804, 2006 | 60 | 2006 |
| Nonlinear origin of SSVEP spectra—a combined experimental and modeling study M Labecki, R Kus, A Brzozowska, T Stacewicz, BS Bhattacharya, ... Frontiers in computational neuroscience 10, 129, 2016 | 58 | 2016 |
| Active paradigms of seizure anticipation: computer model evidence for necessity of stimulation P Suffczynski, S Kalitzin, FL da Silva, J Parra, D Velis, F Wendling Physical Review E 78 (5), 051917, 2008 | 56 | 2008 |
| Seizures start without common signatures of critical transition P Milanowski, P Suffczynski International journal of neural systems 26 (08), 1650053, 2016 | 46 | 2016 |
| Epilepsy as a manifestation of a multistate network of oscillatory systems S Kalitzin, G Petkov, P Suffczynski, V Grigorovsky, BL Bardakjian, ... Neurobiology of disease 130, 104488, 2019 | 42 | 2019 |
| The effects of vigabatrin on spike and wave discharges in WAG/Rij rats BM Bouwman, P Suffczynski, IS Midzyanovskaya, E Maris, ... Epilepsy research 76 (1), 34-40, 2007 | 39 | 2007 |
| Afferent inputs to cortical fast-spiking interneurons organize pyramidal cell network oscillations at high-gamma frequencies (60–200 Hz) P Suffczynski, NE Crone, PJ Franaszczuk Journal of neurophysiology 112 (11), 3001-3011, 2014 | 30 | 2014 |
