Saurabh Vyas

Cognitive Neuroscience · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 81 citations into it
• Cellular and Molecular Neuroscience — 42 citations into it
• Artificial Intelligence — 24 citations into it
• Electrical and Electronic Engineering — 17 citations into it
• Computational Mathematics — 7 citations into it

Whom Saurabh Vyas trusts overall

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

1. David Sussillo
2. Mark M. Churchland
3. John P. Cunningham
4. Krishna V. Shenoy
5. Dean V. Buonomano
6. Guangyu Robert Yang
7. João Dias Semedo
8. Dmitry Kobak
9. L. F. Abbott
10. Byron M. Yu

Papers from Saurabh Vyas's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
6. Long Short-Term Memory
7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
8. Neural population dynamics during reaching
9. Speech recognition with deep recurrent neural networks
10. Reorganization between preparatory and movement population responses in motor cortex (Nature Communications)

Their papers

• Computation Through Neural Population Dynamics (2020) — 657 citations
• Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis (2017) — 301 citations