José Luis Contreras-Vidal

Cognitive Neuroscience · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 26 citations into it
• Signal Processing — 9 citations into it
• Cellular and Molecular Neuroscience — 5 citations into it

Whom José Luis Contreras-Vidal trusts overall

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

1. Gert Pfurtscheller
2. Abdulhamit Subasi
3. Yousef Rezaei Tabar

Papers from José Luis Contreras-Vidal's perspective

Ordered by how strongly the researchers José Luis Contreras-Vidal trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Speech recognition with deep recurrent neural networks
3. Learning long-term dependencies with gradient descent is difficult
4. Generating Text with Recurrent Neural Networks
5. End to End Learning for Self-Driving Cars
6. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. (Physical review. E, Statistical, nonlinear, and soft matter physics)
7. ImageNet classification with deep convolutional neural networks
8. Motor imagery and direct brain-computer communication (Proceedings of the IEEE)
9. Gradient-based learning applied to document recognition
10. DEAP: A Database for Emotion Analysis ;Using Physiological Signals (IEEE Transactions on Affective Computing)

Their papers

• Deep learning for electroencephalogram (EEG) classification tasks: a review (2019) — 1,577 citations