A. Watt
Cellular and Molecular Neuroscience · 2014
A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Cellular and Molecular Neuroscience — 41 citations into it; #1,914 of 2,998 by trust here, #2,655 by citations
- Cognitive Neuroscience — 35 citations into it; #7,425 of 10,852 by trust here, #8,899 by citations
- Electrical and Electronic Engineering — 23 citations into it; #10,692 of 16,539 by trust here, #13,553 by citations
- Molecular Biology — 8 citations into it
- Neuroscience — 8 citations into it
Whom A. Watt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gina G. Turrigiano
- Per Jesper Sjöström
- Mu-Ming Poo
- L. Minichiello
- D. Stellwagen
- Wulfram Gerstner
- Eugene M. Izhikevich
- Wei Zhang
- Jean-Pascal Pfister
- R. Zucker
Who trusts A. Watt overall
Papers from A. Watt's perspective
Ordered by how strongly the researchers A. Watt trusts endorse each paper. Same corpus, a different order for every researcher.
- Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
- A unified model of NMDA receptor-dependent bidirectional synaptic plasticity (Proceedings of the National Academy of Sciences of the United States of America)
- Neocortical LTD via coincident activation of presynaptic NMDA and cannabinoid receptors. (Neuron)
- Hebbian learning and spiking neurons
- Activity-dependent scaling of quantal amplitude in neocortical neurons
- Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
- Synaptic scaling mediated by glial TNF-α (Nature)
- The other side of the engram: experience-driven changes in neuronal intrinsic excitability (Nature Reviews Neuroscience)
- Homeostatic plasticity in the developing nervous system
Their papers
- Frontiers in Synaptic Neuroscience Synaptic Neuroscience — 100 citations
- Neuronal morphometry directly from bitmap images (2014) — 640 citations