Emilio Bizzi

Cognitive Neuroscience · 1982–2013

A researcher in the Science corpus: 13 papers; trusts 20 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 44 citations into it; #613 of 10,852 by trust here, #1,312 by citations
• Biomedical Engineering — 23 citations into it; #767 of 10,734 by trust here, #3,826 by citations
• Social Psychology — 17 citations into it; #1,612 of 15,694 by trust here, #3,717 by citations
• Cellular and Molecular Neuroscience — 16 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Neuroscience — 8 citations into it
• Optimization & Training — 7 citations into it
• Physical Therapy, Sports Therapy and Rehabilitation — 7 citations into it

Whom Emilio Bizzi trusts overall

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

1. Daniel D. Lee
2. Anthony J. Bell
3. Andrea d'Avella
4. V. Cheung
5. Matthew C. Tresch
6. Lena H. Ting
7. Tomaso A. Poggio
8. Reza Shadmehr
9. Ferdinando A. Mussa-Ivaldi
10. Terrence J. Sejnowski

Who trusts Emilio Bizzi overall

1. Tamar Flash
2. Neville Hogan
3. Lena H. Ting
4. Dario Farina
5. Andrea d'Avella
6. Rafet Sifa
7. Ferdinando A. Mussa-Ivaldi
8. E. Todorov
9. Thomas Serre
10. Minjoon Kouh

Papers from Emilio Bizzi's perspective

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

1. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
2. Reinforcement Learning: An Introduction
3. Learning representations by back-propagating errors
4. Combinations of muscle synergies in the construction of a natural motor behavior
5. Forward Models: Supervised Learning with a Distal Teacher
6. Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets. (Journal of Neurophysiology)
7. The Elements of Statistical Learning
8. Hierarchical models of object recognition in cortex
9. ImageNet classification with deep convolutional neural networks
10. Merging of healthy motor modules predicts reduced locomotor performance and muscle coordination complexity post-stroke. (Journal of Neurophysiology)

Their papers

• Shared and specific muscle synergies in natural motor behaviors. (2005) — 732 citations
• New perspectives on spinal motor systems (2000) — 253 citations
• Motor learning through the combination of primitives. (2000) — 375 citations
• Combinations of muscle synergies in the construction of a natural motor behavior (2003) — 1,386 citations
• Simplified and effective motor control based on muscle synergies to exploit musculoskeletal dynamics (2009) — 193 citations
• Muscle synergy patterns as physiological markers of motor cortical damage (2012) — 608 citations
• A theory for how sensorimotor skills are learned and retained in noisy and nonstationary neural circuits (2013) — 75 citations
• The neural origin of muscle synergies (2013) — 519 citations
• Motor learning with unstable neural representations. (2007) — 259 citations
• Generalization in vision and motor control (2004) — 378 citations
• Motor learning by field approximation. (1996)
• Modular organization of motor behavior in the frog's spinal cord. (1995)
• Human arm trajectory formation. (1982)