Tim P. Vogels

Cognitive Neuroscience · 2005–2020

A researcher in the Science corpus: 8 papers; trusts 40 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 111 citations into it; #1,647 of 10,852 by trust here, #1,905 by citations
• Cellular and Molecular Neuroscience — 78 citations into it; #984 of 2,998 by trust here, #1,353 by citations
• Electrical and Electronic Engineering — 48 citations into it; #1,922 of 16,539 by trust here, #4,807 by citations
• Artificial Intelligence — 22 citations into it
• Statistical and Nonlinear Physics — 5 citations into it; #4,454 of 10,127 by trust here, #5,625 by citations

Whom Tim P. Vogels trusts overall

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

1. György Buzsáki
2. Wulfram Gerstner
3. L. F. Abbott
4. Hesham Mostafa
5. Moshe Abeles
6. F. Crick
7. Pete Warden
8. Yann LeCun
9. Michael Pfeiffer
10. John M. Beggs

Who trusts Tim P. Vogels overall

1. Friedemann Zenke
2. Robert Froemke
3. John M. Beggs
4. Wulfram Gerstner
5. Yann Sweeney
6. Richard Gao
7. Ian H. Stevenson
8. O. Marín
9. Claudia Clopath
10. Robert Rosenbaum

Papers from Tim P. Vogels's perspective

Ordered by how strongly the researchers Tim P. Vogels trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Neural network dynamics. (2005) — 514 citations
• Signal Propagation and Logic Gating in Networks of Integrate-and-Fire Neurons (2005) — 509 citations
• Inhibitory synaptic plasticity: spike timing-dependence and putative network function (2013) — 128 citations
• Gating Multiple Signals through Detailed Balance of Excitation and Inhibition in Spiking Networks (2009) — 383 citations
• The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks (2020) — 347 citations
• Motor primitives in space and time via targeted gain modulation in cortical networks (2018) — 119 citations
• Receptive field formation by interacting excitatory and inhibitory synaptic plasticity (2016) — 37 citations
• Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks (2011) — 766 citations