Ferdinando A. Mussa-Ivaldi

Cognitive Neuroscience · 1994–2004

A researcher in the Science corpus: 8 papers; trusts 10 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 9 citations into it; #2,149 of 10,852 by trust here, #3,275 by citations
• Control and Systems Engineering — 6 citations into it
• Reinforcement Learning — 5 citations into it

Whom Ferdinando A. Mussa-Ivaldi trusts overall

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

1. Reza Shadmehr
2. Stefan Schaal
3. Michael I. Jordan
4. D. M. Wolpert
5. James S. Albus
6. Jean-Paul Laumond
7. Tamar Flash
8. Emilio Bizzi
9. D. Marr
10. Mitsuo Kawato

Who trusts Ferdinando A. Mussa-Ivaldi overall

1. D. M. Wolpert
2. David J. Reinkensmeyer
3. Reza Shadmehr
4. Rafet Sifa
5. Tamar Flash
6. Opher Donchin
7. Jeremy L. Emken
8. Maurice A. Smith
9. Paul M. Bays
10. Sara A. Solla

Papers from Ferdinando A. Mussa-Ivaldi's perspective

Ordered by how strongly the researchers Ferdinando A. Mussa-Ivaldi 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. Reinforcement Learning: An Introduction
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Neural Networks for Pattern Recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Motor learning through the combination of primitives. (2000) — 375 citations
• Persistence of motor adaptation during constrained, multi-joint, arm movements. (2000) — 440 citations
• Learning to move amid uncertainty. (2001) — 451 citations
• Neural primitives for motion control (2004) — 103 citations
• Does the motor control system use multiple models and context switching to cope with a variable environment? (2002) — 168 citations
• The motor system does not learn the dynamics of the arm by rote memorization of past experience. (1997)
• Motor learning by field approximation. (1996)
• Adaptive representation of dynamics during learning of a motor task (1994)