Synergy in a Neural Code
By N. Brenner, S. Strong, R. Köberle, William Bialek, R. D. V. Steveninck. Neural Computation, 2000
357 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/ee3bae9a988ad9144265d5aadc54248eedd70de8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Olivier Marre
- Michael J. Berry
- William Bialek
- Stefano Panzeri
- Gasper Tkacik
- Peter O'Connor
- Bastiaan S. Veeling
- Matthew Chalk
In Cognitive Neuroscience
- William Bialek
- Olivier Marre
- Michael J. Berry
- Elad Schneidman
- Miguel Angel Muñoz
- Thierry Mora
- Gasper Tkacik
- John M. Beggs
Citations in the corpus
- Predictive information in a sensory population (2013, methodology): “When we compute the information that neural responses carry about the past stimulus, we follow Refs [20, 34], making use of the repeated “futures” in the common future experiment.”
- Adaptive rescaling maximizes information transmission. (2000, unknown): “(Brenner et al., 2000) .”
- Synergy, Redundancy, and Independence in Population Codes (2003, methodology): “However, the estimates are scrambled, so that this decoder never gives the correct answer. the manner in which neural activity encodes information about a stimulus (Gawne and Richmond, 1993; Gat and Tishby, 1999; Panzeri et al., 1999; Brenner et al., 2000; Chechik et al., 2002).”