Probabilistic Coding is a neural coding framework in which information is represented and transmitted through the brain via the statistical properties of neural activity, particularly the probability distributions of spike patterns, allowing for uncertainty quantification and optimal inference under noisy conditions.
85
Publications
23.6K
Citations
205
Authors
117
Institutions
Publications per year
2017–2026
18
Parents
Publications
85
Probabilistic reasoning by neurons
Tianming Yang, Michael N. Shadlen · Nature · 2007 · 611 citations
Redundancy reduction revisited
H. B. Barlow · Network Computation in Neural Systems · 2001 · 605 citations
1–5 of 85
Authors
205
- WJ
4
h-index
- AP
3
h-index
- RC
3
h-index
- AA
3
h-index
- DF
2
h-index
1–5 of 205
Institutions
117
Shirley Ryan AbilityLab
Chicago, United States
4 h-index
10 publications
513 citations
New York University
New York, United States
4 h-index
7 publications
360 citations
Baylor College of Medicine
Houston, United States
4 h-index
11 publications
875 citations
University of Rochester
Rochester, United States
3 h-index
4 publications
5.8K citations
Albert Einstein College of Medicine
Bronx, United States
3 h-index
13 publications
555 citations
Rice University
Houston, United States
3 h-index
3 publications
209 citations
Physiological Society
London, United Kingdom
3 h-index
6 publications
3.3K citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
5 publications
653 citations
1–8 of 117
Venues
- IEEE Transactions on Information Theory
5 publications · 855 citations
5
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- bioRxiv (Cold Spring Harbor Laboratory)
Repository · 4 publications · 65 citations
4
h-index
- Journal of Neuroscience
4 publications · 411 citations
4
h-index
- Neural Computation
3 publications · 287 citations
3
h-index
- Nature Communications
3 publications · 180 citations
3
h-index
1–5