Laurent Bougrain

Cognitive Neuroscience · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 41 citations into it
• Artificial Intelligence — 18 citations into it
• Cellular and Molecular Neuroscience — 15 citations into it

Whom Laurent Bougrain trusts overall

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

1. Eric R. Ziegel
2. Benjamin Blankertz
3. Jonathan R. Wolpaw
4. Fabien Lotte
5. Isabelle M Guyon
6. Ron Kohavi
7. Herbert Ramoser
8. Geoffrey E. Hinton
9. Hanchuan Peng
10. Florian Yger

Papers from Laurent Bougrain's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. The Elements of Statistical Learning
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
6. Optimal spatial filtering of single trial EEG during imagined hand movement. (IEEE transactions on rehabilitation engineering)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Optimizing Spatial filters for Robust EEG Single-Trial Analysis
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update (2018) — 2,013 citations