Filip Ponulak

Princeton University — United States

Neuroscience · Life Sciences

7h-index1.2kcitations16works0.02yr avg
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Research Topics

Neural dynamics and brain function(12), Advanced Memory and Neural Computing(11), Neural Networks and Reservoir Computing(5), Neural Networks and Applications(4), Memory and Neural Mechanisms(3)

Publications16 total

Rapid, parallel path planning by propagating wavefronts of spiking neural activity
Frontiers in Computational Neuroscience·2013· 78 citedOpen Access
Perspektywy zastosowań impulsowych sieci neuronowych w systemach maszynowego sprzęgania układu nerwowego
2013
INTRODUCTION
International Journal of Neural Systems·2012
Rapid, parallel path planning by propagating wavefronts of spiking neural activity
arXiv (Cornell University)·2012Open Access
Rapid, parallel path planning by propagating wavefronts of spiking\n neural activity
arXiv (Cornell University)·2012Open Access
Introduction to spiking neural networks: Information processing, learning and applications
Acta Neurobiologiae Experimentalis·2011· 348 citedOpen Access
Information processing and learning in spiking neural networks
Prace Naukowe Politechniki Warszawskiej. Elektronika·2010
Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting
Neural Computation·2009· 574 cited
‘SNN3DViewer’ - 3D Visualization Tool for Spiking Neural Network Analysis
Lecture notes in computer science·2009· 8 cited
Analysis of the ReSuMe Learning Process For Spiking Neural Networks
International Journal of Applied Mathematics and Computer Science·2008· 35 citedOpen Access
Comparison of supervised learning methods for spike time coding in spiking neural networks
Digital library of Zielona Gora (University of Zielona Góra)·2006· 141 citedOpen Access
DESIGN OF THE SPIKING NEURON HAVING LEARNING CAPABILITIES BASED ON FPGA CIRCUITS
IFAC Proceedings Volumes·2006· 6 cited
Generalization properties of spiking neurons trained with ReSuMe method.
2006· 2 cited
Generalization Properties of SNN Trained with ReSuMe
The European Symposium on Artificial Neural Networks·2006· 7 cited
Experimental Demonstration of Learning Properties of a New Supervised Learning Method for the Spiking Neural Networks
Lecture notes in computer science·2005· 30 cited
Motoneuron and renshaw cell as an element of the movement control system
IFAC Proceedings Volumes·2003

Frequent Co-authors

Andrzej Kasiński(11), J. J. Hopfield(3), Juliusz Pawłowski(1), Marek Kraft(1), Dominik Belter(1), N. H. Siddique(1), B. Widrow(1), L. J. McDaid(1)