J. van Hemmen

Cognitive Neuroscience · 1992–2010

A researcher in the Science corpus: 7 papers; trusts 16 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 33 citations into it
• Cellular and Molecular Neuroscience — 30 citations into it
• Electrical and Electronic Engineering — 21 citations into it
• Neuroscience — 12 citations into it; #101 of 487 by trust here, #190 by citations

Whom J. van Hemmen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Richard Kempter
2. Graeme J. Mitchison
3. E. Gardner
4. John J. Hopfield
5. Henry Markram
6. Guoqiang Bi
7. Abigail Morrison
8. Wulfram Gerstner

Who trusts J. van Hemmen overall

1. Anthony V. Robins
2. Wulfram Gerstner
3. Marcus Frean
4. Anthony N. Burkitt
5. J. Urgen Schmidhuber
6. Werner M. Kistler
7. Simon McCallum
8. Matthieu Gilson
9. Mingzhe Chen
10. Claudia Clopath

Papers from J. van Hemmen's perspective

Ordered by how strongly the researchers J. van Hemmen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Hebbian learning and spiking neurons
2. Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
3. Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
4. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
5. A neuronal learning rule for sub-millisecond temporal coding
6. Timing-based LTP and LTD at vertical inputs to layer II/III pyramidal cells in rat barrel cortex. (Neuron)
7. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex
8. Stable Hebbian Learning from Spike Timing-Dependent Plasticity
9. Spike-timing-dependent synaptic modification induced by natural spike trains
10. Synaptic modification by correlated activity: Hebb's postulate revisited.

Their papers

• Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence (2010) — 41 citations
• Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity–strengthening correlated input pathways (2009) — 83 citations
• Hebbian learning and spiking neurons (1999)
• Hebbian learning, its correlation catastrophe, and unlearning (1997)
• Reduction of the Hodgkin-Huxley Equations to a Single-Variable Threshold Model (1997)
• A neuronal learning rule for sub-millisecond temporal coding (1996)
• Associative memory in a network of ‘spiking’ neurons (1992)