Pierre Yger
Cognitive Neuroscience · 2008–2018
A researcher in the Science corpus: 5 papers; trusts 65 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 102 citations into it; #2,665 of 10,852 by trust here, #7,130 by citations
- Cellular and Molecular Neuroscience — 93 citations into it; #784 of 2,998 by trust here, #2,483 by citations
- Electrical and Electronic Engineering — 61 citations into it; #3,037 of 16,539 by trust here, #10,998 by citations
- Neuroscience — 22 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it; #17,985 of 21,575 by trust here, #12,172 by citations
- Artificial Intelligence — 14 citations into it; #31,805 of 35,345 by trust here, #32,362 by citations
- Molecular Biology — 10 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Pierre Yger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gina G. Turrigiano
- Wulfram Gerstner
- Jean-Pascal Pfister
- Claudia Clopath
- Leon N. Cooper
- Sacha B. Nelson
- Eugene M. Izhikevich
- Elie Bienenstock
- Wickliffe C. Abraham
- Guoqiang Bi
Who trusts Pierre Yger overall
- Friedemann Zenke
- Wulfram Gerstner
- Lawrence C. Udeigwe
- Matthieu Gilson
- José Vicente Manjón
- Pierrick Coupé
- Paul W. Munro
- Kenneth D. Harris
- G. Bard Ermentrout
- J. Mohan
Papers from Pierre Yger's perspective
Ordered by how strongly the researchers Pierre Yger trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Hebbian learning and spiking neurons
- Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex
- Activity-dependent scaling of quantal amplitude in neocortical neurons
- An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing
- Homeostatic plasticity in the developing nervous system
- A unified model of NMDA receptor-dependent bidirectional synaptic plasticity (Proceedings of the National Academy of Sciences of the United States of America)
- Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity
- A neuronal learning rule for sub-millisecond temporal coding
Their papers
- An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images (2008) — 1,201 citations
- The Convallis Rule for Unsupervised Learning in Cortical Networks (2013) — 20 citations
- Stable Learning in Stochastic Network States (2012) — 36 citations
- Models of Metaplasticity: A Review of Concepts (2015) — 80 citations
- A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo (2018) — 347 citations