Ad M. H. J. Aertsen
Cognitive Neuroscience · 1996–2010
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 37 citations into it; #3,191 of 10,852 by trust here, #3,875 by citations
- Cellular and Molecular Neuroscience — 30 citations into it; #770 of 2,998 by trust here, #1,327 by citations
- Electrical and Electronic Engineering — 21 citations into it; #3,765 of 16,539 by trust here, #6,657 by citations
- Neuroscience — 11 citations into it
Whom Ad M. H. J. Aertsen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ad M. H. J. Aertsen overall
- Matthieu Gilson
- Andreas Knoblauch
- E. Lubenov
- Peter U. Diehl
- Abigail Morrison
- Wulfram Gerstner
- Sami El Boustani
- Per Jesper Sjöström
- Friedemann Zenke
- Pierre Yger
Papers from Ad M. H. J. Aertsen's perspective
Ordered by how strongly the researchers Ad M. H. J. Aertsen trusts endorse each paper. Same corpus, a different order for every researcher.
- Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
- A neuronal learning rule for sub-millisecond temporal coding
- Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
- Activity-dependent scaling of quantal amplitude in neocortical neurons
- Synaptic plasticity: taming the beast
- Stable Hebbian Learning from Spike Timing-Dependent Plasticity
- Equilibrium properties of temporally asymmetric Hebbian plasticity.
- Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons
- Spike-timing-dependent synaptic modification induced by natural spike trains
- Learning Input Correlations through Nonlinear Temporally Asymmetric Hebbian Plasticity
Their papers
- Spike-Timing-Dependent Plasticity in Balanced Random Networks (2007) — 376 citations
- Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding (2010) — 463 citations
- Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses (1996)