Nicolas Schweighofer

Cognitive Neuroscience · 2001–2011

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 13 citations into it; #1,951 of 10,852 by trust here, #4,925 by citations

Whom Nicolas Schweighofer trusts overall

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

1. Kenji Doya
2. David A. White
3. Richard S. Sutton
4. D. Sofge
5. Vijaykumar Gullapalli
6. David J. Field
7. Andrew Barto
8. D. Marr
9. James S. Albus
10. Marcus Kaiser

Who trusts Nicolas Schweighofer overall

1. Adam Santoro
2. N. A. Cayco-Gajic
3. Stefan Elfwing
4. Alireza Soltani
5. Kunikazu Kobayashi
6. Sergey Bartunov
7. Matthew Botvinick
8. Daeyeol Lee
9. R. Silver
10. Eiji Uchibe

Papers from Nicolas Schweighofer's perspective

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

1. A Theory of Cerebellar Function
2. Neural Networks for Pattern Recognition
3. Opponent interactions between serotonin and dopamine (Neural Networks)
4. Metalearning and neuromodulation
5. Handbook of Intelligent Control: Neural, Fuzzy, and Adaptive Approaches
6. A hierarchical neural-network model for control and learning of voluntary movement (Biological cybernetics)
7. Movement-related inputs to intermediate cerebellum of the monkey.
8. What Is the Goal of Sensory Coding?
9. Reinforcement Learning in Continuous Time and Space
10. A stochastic reinforcement learning algorithm for learning real-valued functions

Their papers

• Cerebellar supervised learning revisited: biophysical modeling and degrees-of-freedom control. (2011) — 58 citations
• Meta-learning in Reinforcement Learning (2003) — 275 citations
• Unsupervised learning of granule cell sparse codes enhances cerebellar adaptive control. (2001) — 131 citations