Alexandre Payeur

Cognitive Neuroscience · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 31 citations into it
• Electrical and Electronic Engineering — 20 citations into it
• Cellular and Molecular Neuroscience — 19 citations into it
• Optimization & Training — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Alexandre Payeur trusts overall

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

1. Ronald J. Williams
2. Yoshua Bengio
3. Kaiming He
4. Xavier Glorot
5. Wulfram Gerstner
6. Henry Markram
7. Timothy P. Lillicrap
8. Geoffrey E. Hinton
9. Jean-Pascal Pfister
10. Pieter R. Roelfsema

Papers from Alexandre Payeur's perspective

Ordered by how strongly the researchers Alexandre Payeur 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits (2020) — 331 citations