Tsvetomira Dumbalska

Cognitive Neuroscience · 2022

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 — 44 citations into it
• Artificial Intelligence — 20 citations into it
• Electrical and Electronic Engineering — 11 citations into it

Whom Tsvetomira Dumbalska trusts overall

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

1. Andrew M. Saxe
2. Mattia Rigotti
3. John S. Duncan
4. Stefano Fusi
5. Omri Barak
6. Arthur Jacot
7. J. Cohen

Papers from Tsvetomira Dumbalska's perspective

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

1. Neural Tangent Kernel: Convergence and Generalization in Neural Networks
2. Wide neural networks of any depth evolve as linear models under gradient descent
3. Abstract context representations in primate amygdala and prefrontal cortex
4. On Lazy Training in Differentiable Programming
5. Scaling description of generalization with number of parameters in deep learning
6. On the control of automatic processes: a parallel distributed processing account of the Stroop effect.
7. Context-dependent computation by recurrent dynamics in prefrontal cortex
8. The Sparseness of Mixed Selectivity Neurons Controls the Generalization-Discrimination Trade-Off
9. Why neurons mix: high dimensionality for higher cognition.
10. The importance of mixed selectivity in complex cognitive tasks

Their papers

• Orthogonal representations for robust context-dependent task performance in brains and neural networks (2022) — 194 citations