Markus Diesmann
Cognitive Neuroscience · 2006–2015
A researcher in the Science corpus: 9 papers; trusts 28 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 105 citations into it; #1,024 of 10,852 by trust here, #1,664 by citations
- Cellular and Molecular Neuroscience — 92 citations into it; #288 of 2,998 by trust here, #611 by citations
- Electrical and Electronic Engineering — 67 citations into it; #956 of 16,539 by trust here, #3,918 by citations
- Neuroscience — 38 citations into it
Whom Markus Diesmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicolas J.-B. Brunel
- L. F. Abbott
- Henry Markram
- Wulfram Gerstner
- Richard Kempter
- Gina G. Turrigiano
- Sen Song
- Kenneth D. Miller
- Mark C. W. van Rossum
- Guoqiang Bi
Who trusts Markus Diesmann overall
- Matthieu Gilson
- Pierre Yger
- Abigail Morrison
- Wulfram Gerstner
- Guy O. Billings
- Susanne Kunkel
- A. Watt
- Friedemann Zenke
- Andreas Knoblauch
- Nuo Li
Papers from Markus Diesmann's perspective
Ordered by how strongly the researchers Markus Diesmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
- Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
- A neuronal learning rule for sub-millisecond temporal coding
- Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus.
- Activity-dependent scaling of quantal amplitude in neocortical neurons
- An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing
- All-or-none potentiation at CA3-CA1 synapses.
- Simplified neuron model as a principal component analyzer
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
- Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex.
Their papers
- Phenomenological models of synaptic plasticity based on spike timing (2008) — 633 citations
- Spike-Timing-Dependent Plasticity in Balanced Random Networks (2007) — 376 citations
- Simulation of networks of spiking neurons: A review of tools and strategies (2006) — 884 citations
- NEST (NEural Simulation Tool) (2007) — 1,107 citations
- Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal Networks (2011) — 46 citations
- Python in neuroscience (2015) — 74 citations
- Decorrelation of Neural-Network Activity by Inhibitory Feedback (2012) — 198 citations
- Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex (2012) — 45 citations
- Frontiers in Computational Neuroscience Computational Neuroscience Structural Plasticity Controlled by Calcium Based Correlation Detection (2008)