Tamar Flash

Cognitive Neuroscience · 1985–2016

A researcher in the Science corpus: 12 papers; trusts 29 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 54 citations into it; #1,743 of 10,852 by trust here, #2,652 by citations
• Biomedical Engineering — 35 citations into it; #9,401 of 10,734 by trust here, #6,773 by citations
• Social Psychology — 34 citations into it; #3,135 of 15,694 by trust here, #6,804 by citations
• Control and Systems Engineering — 29 citations into it; #1,831 of 8,257 by trust here, #2,213 by citations
• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Physical Therapy, Sports Therapy and Rehabilitation — 8 citations into it
• Reinforcement Learning — 5 citations into it

Whom Tamar Flash trusts overall

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

1. E. Todorov
2. Neville Hogan
3. Michael I. Jordan
4. Stefan Schaal
5. Emilio Bizzi
6. D. M. Wolpert
7. Ferdinando A. Mussa-Ivaldi
8. Auke Jan Ijspeert
9. Andrea d'Avella
10. Dagmar Sternad

Who trusts Tamar Flash overall

1. E. Todorov
2. Yaron Meirovitch
3. Reza Shadmehr
4. Stefan Schaal
5. Daniel Bennequin
6. Pierre Jacob
7. D. M. Wolpert
8. Dominik M. Endres
9. Daniel Hsi-wen Liu
10. Daniel Mellinger

Papers from Tamar Flash's perspective

Ordered by how strongly the researchers Tamar Flash 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Reinforcement Learning: An Introduction
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Open-source benchmarking for learned reaching motion generation in robotics (2015) — 43 citations
• Computational approaches to motor control. (2001) — 617 citations
• Continuum robot arms inspired by cephalopods (2005) — 309 citations
• Movement Timing and Invariance Arise from Several Geometries (2009) — 89 citations
• Parabolic movement primitives and cortical states: merging optimality with geometric invariance (2009) — 51 citations
• Models of human movement: Trajectory planning and inverse kinematics studies (2013) — 85 citations
• Geometrical Invariance and Smoothness Maximization for Task-Space Movement Generation (2016) — 39 citations
• Segmenting sign language into motor primitives with Bayesian binning (2013) — 18 citations
• Three-dimensional arm movements at constant equi-affine speed. (2009) — 48 citations
• Motor primitives in vertebrates and invertebrates. (2005) — 508 citations
• Multiple shifts in the representation of a motor sequence during the acquisition of skilled performance (2003) — 386 citations
• The coordination of arm movements: an experimentally confirmed mathematical model (1985)