Grace W. Lindsay

Cognitive Neuroscience · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 104 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 86 citations into it; #9,158 of 10,852 by trust here, #6,360 by citations
• Computer Vision and Pattern Recognition — 48 citations into it
• Artificial Intelligence — 43 citations into it
• Electrical and Electronic Engineering — 23 citations into it
• Cellular and Molecular Neuroscience — 22 citations into it
• Neuroscience — 15 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Biophysics — 9 citations into it

Whom Grace W. Lindsay trusts overall

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

1. Nikolaus Kriegeskorte
2. Yann LeCun
3. Geoffrey E. Hinton
4. Daniel L. K. Yamins
5. Yoshua Bengio
6. Naftali Tishby
7. Seyed-Mahdi Khaligh-Razavi
8. Wojciech Samek
9. Ruslan Salakhutdinov
10. Adam Gaier

Who trusts Grace W. Lindsay overall

1. Andrew M. Saxe

Papers from Grace W. Lindsay's perspective

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

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

Their papers

• A deep learning framework for neuroscience (2019) — 1,016 citations
• Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future (2020) — 529 citations
• Parallel processing by cortical inhibition enables context-dependent behavior (2016) — 335 citations