Tatyana O. Sharpee
Cognitive Neuroscience · 2002–2007
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 24 citations into it; #3,397 of 10,852 by trust here, #5,043 by citations
- Artificial Intelligence — 13 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Tatyana O. Sharpee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Liam Paninski
- Daniel L. Ruderman
- William Bialek
- Naftali Tishby
- Eero P. Simoncelli
- Barbara Olshausen
- David J. Field
- H. Barlow
- Fernando C Pereira
- Adrienne L. Fairhall
Who trusts Tatyana O. Sharpee overall
- Odelia Schwartz
- Colin W. G. Clifford
- Frédéric E. Theunissen
- Michael A. Webster
- Cristopher Niell
- Matteo Carandini
- Liam Paninski
- Barbara Olshausen
- Justin B. Kinney
- Valerio Mante
Papers from Tatyana O. Sharpee's perspective
Ordered by how strongly the researchers Tatyana O. Sharpee trusts endorse each paper. Same corpus, a different order for every researcher.
- The information bottleneck method
- A simple white noise analysis of neuronal light responses (Network)
- Sparse coding and decorrelation in primary visual cortex during natural vision.
- Statistics of Natural Images: Scaling in the Woods
- Efficiency and ambiguity in an adaptive neural code (Nature)
- Redundancy reduction revisited (Network)
- Estimation of Entropy and Mutual Information
- Natural image statistics and neural representation.
- Emergence of simple-cell receptive field properties by learning a sparse code for natural images
- Natural signal statistics and sensory gain control
Their papers
- Visual adaptation: neural, psychological and computational aspects. (2007) — 384 citations
- Adaptive filtering enhances information transmission in visual cortex (2006) — 343 citations
- Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions (2002) — 333 citations