Abigail Morrison

Cognitive Neuroscience · 2006–2011

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 75 citations into it; #1,263 of 10,852 by trust here, #2,134 by citations
• Cellular and Molecular Neuroscience — 62 citations into it; #296 of 2,998 by trust here, #661 by citations
• Electrical and Electronic Engineering — 60 citations into it; #1,262 of 16,539 by trust here, #4,391 by citations
• Neuroscience — 31 citations into it

Whom Abigail Morrison trusts overall

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

1. L. F. Abbott
2. Henry Markram
3. Richard Kempter
4. Nicolas J.-B. Brunel
5. Kenneth D. Miller
6. Gina G. Turrigiano
7. Sen Song
8. Wulfram Gerstner
9. Jonathan E. Rubin
10. Mark C. W. van Rossum

Who trusts Abigail Morrison overall

1. Matthieu Gilson
2. Pierre Yger
3. Guy O. Billings
4. A. Watt
5. Wulfram Gerstner
6. Friedemann Zenke
7. Peter U. Diehl
8. E. Lubenov
9. Nuo Li
10. Anthony N. Burkitt

Papers from Abigail Morrison's perspective

Ordered by how strongly the researchers Abigail Morrison 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. Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus.
6. A neuronal learning rule for sub-millisecond temporal coding
7. An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing
8. Activity-dependent scaling of quantal amplitude in neocortical neurons
9. Simplified neuron model as a principal component analyzer
10. Stable Hebbian Learning from Spike Timing-Dependent Plasticity

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
• Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal Networks (2011) — 46 citations