| Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting F Ponulak, A Kasiński Neural computation 22 (2), 467-510, 2010 | 735 | 2010 |
| Introduction to spiking neural networks: Information processing, learning and applications F Ponulak, A Kasinski Acta neurobiologiae experimentalis 71 (4), 409-433, 2011 | 395 | 2011 |
| Comparison of supervised learning methods for spike time coding in spiking neural networks A Kasiński, F Ponulak International journal of applied mathematics and computer science 16 (1 …, 2006 | 160 | 2006 |
| Neural network apparatus and methods for signal conversion F Ponulak US Patent App. 13/314,066, 2013 | 141 | 2013 |
| Apparatus and methods for reinforcement learning in artificial neural networks F Ponulak, O Sinyavskiy US Patent 8,943,008, 2015 | 137 | 2015 |
| Robotic training apparatus and methods JB Passot, O Sinyavskiy, F Ponulak, P Laurent, BI Gabardos, E Izhikevich US Patent 9,384,443, 2016 | 118 | 2016 |
| Hierarchical robotic controller apparatus and methods JB Passot, O Sinyavskiy, F Ponulak, P Laurent, BI Gabardos, E Izhikevich, ... US Patent 9,792,546, 2017 | 112 | 2017 |
| Apparatus and methods for reinforcement-guided supervised learning F Ponulak, JB Passot, E Izhikevich, O Coenen US Patent 9,008,840, 2015 | 100 | 2015 |
| Apparatus and methods for generalized state-dependent learning in spiking neuron networks O Sinyavskiy, F Ponulak US Patent 9,256,215, 2016 | 95 | 2016 |
| Rapid, parallel path planning by propagating wavefronts of spiking neural activity F Ponulak, JJ Hopfield Frontiers in computational neuroscience 7, 98, 2013 | 84 | 2013 |
| Apparatus and methods for state-dependent learning in spiking neuron networks F Ponulak, O Sinyavskiy US Patent 8,990,133, 2015 | 71 | 2015 |
| Apparatus and methods for implementing learning for analog and spiking signals in artificial neural networks F Ponulak US Patent App. 13/313,826, 2013 | 69 | 2013 |
| Apparatus and methods for reinforcement learning in large populations of artificial spiking neurons F Ponulak US Patent App. 13/554,980, 2014 | 64 | 2014 |
| Apparatus and methods for implementing learning for analog and spiking signals in artificial neural networks F Ponulak US Patent App. 13/314,018, 2013 | 60 | 2013 |
| Apparatus and methods for gating analog and spiking signals in artificial neural networks F Ponulak US Patent 9,213,937, 2015 | 59 | 2015 |
| Adaptive critic apparatus and methods F Ponulak US Patent 9,156,165, 2015 | 54 | 2015 |
| Supervised learning in spiking neural networks with ReSuMe method F Ponulak Phd, Poznan University of Technology 46, 47, 2006 | 48 | 2006 |
| Analysis of the ReSuMe learning process for spiking neural networks F Ponulak International Journal of Applied Mathematics and Computer Science 18 (2 …, 2008 | 46 | 2008 |
| Action selection apparatus and methods F Ponulak US Patent App. 13/928,775, 2015 | 40 | 2015 |
| Predictive robotic controller apparatus and methods P Laurent, JB Passot, O Sinyavskiy, F Ponulak, BI Gabardos, E Izhikevich US Patent 9,314,924, 2016 | 36 | 2016 |
Marek KraftPoznań University of Technology, Institute of Robotics and Machine IntelligenceAdresse e-mail validée de put.poznan.pl
