Filip Ponulak
Cognitive Neuroscience · 2010–2011
A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 48 citations into it; #4,421 of 10,852 by trust here, #6,180 by citations
- Electrical and Electronic Engineering — 27 citations into it; #5,725 of 16,539 by trust here, #9,631 by citations
- Cellular and Molecular Neuroscience — 24 citations into it; #1,979 of 2,998 by trust here, #2,200 by citations
- Artificial Intelligence — 15 citations into it; #26,155 of 35,345 by trust here, #32,362 by citations
- Neuroscience — 6 citations into it
- Model Architectures — 5 citations into it
Whom Filip Ponulak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Wulfram Gerstner
- Eugene M. Izhikevich
- Wolfgang Maass
- Werner M. Kistler
- Samanwoy Ghosh-Dastidar
- Herbert Jaeger
- Paul J. Werbos
- Razvan V. Florian
- Sander M. Bohte
- E. D. Di Paolo
Who trusts Filip Ponulak overall
Papers from Filip Ponulak's perspective
Ordered by how strongly the researchers Filip Ponulak trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
- Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Learning representations by back-propagating errors