Sparse Sensory Coding
Sparse Sensory Coding is a computational principle in sensory system modeling whereby sensory information is represented efficiently through the activation of a minimal subset of neurons, such that each stimulus is encoded by few active units relative to the total population.
63
Publications
6.5K
Citations
175
Authors
96
Institutions
Publications per year
2017–2026
13
Parents
63
What Is the Goal of Sensory Coding?
David J. Field · Neural Computation · 1994 · 1.2K citations
Sparseness and Expansion in Sensory Representations
Baktash Babadi, Haim Sompolinsky · Neuron · 2014 · 290 citations · Full text
1–5 of 63
175
3
h-index
3
h-index
Eunice Kennedy Shriver National Institute of Child Health and Human Development, United States
3 publications · 147 citations
3
h-index
3
h-index
3
h-index
1–5 of 175
96
University of Oxford
Oxford, United Kingdom
6 h-index
10 publications
1.9K citations

Howard Hughes Medical Institute
Chevy Chase, United States
4 h-index
8 publications
926 citations
University of California San Diego
San Diego, United States
4 h-index
4 publications
1.1K citations
Frankfurt Institute for Advanced Studies
Frankfurt am Main, Germany
3 h-index
10 publications
160 citations
Yale University
New Haven, United States
3 h-index
8 publications
541 citations
Cold Spring Harbor Laboratory
Cold Spring Harbor, United States
3 h-index
4 publications
966 citations
California Institute of Technology
Pasadena, United States
3 h-index
6 publications
782 citations
Eunice Kennedy Shriver National Institute of Child Health and Human Development
Bethesda, United States
3 h-index
4 publications
192 citations
1–8 of 96
11 publications · 1.2K citations
11
h-index
5 publications · 1.2K citations
5
h-index
4 publications · 174 citations
4
h-index
PNAS · 4 publications · 267 citations
4
h-index
JN · 4 publications · 786 citations
4
h-index
1–5