Correlated neuronal discharge rate and its implications for psychophysical performance
By E. Zohary, Michael N. Shadlen, William T. Newsome. 1994
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Xiao-Jing Wang
- Peter S. Dayan
- Roger Ratcliff
- Yoshua Bengio
- Karl J. Friston
- Michael N. Shadlen
- John P. Cunningham
- Sergey Levine
Citations in the corpus
- Orthogonal representations for robust context-dependent task performance in brains and neural networks (2022, neutral): “, 2020) where correlated patterns of firing confer robustness on the population code (Zohary et al., 1994).”
- Physiological utility theory and the neuroeconomics of choice (2005, background): “…by a roughly fixed constant of proportionality that has a value near 1.07 over a very broad range of mean rates (Tolhurst et al., 1981; Dean, 1981; Zohary et al., 1994; Lee et al., 1998), and this seems to be true of essentially all cortical areas that have been examined including parietal cortex…”
- Navigating the Neural Space in Search of the Neural Code. (2017, unknown): “First, many behaviors depend on converging and redundant signals from large populations of similarly behaving neurons (Cohen and Maunsell, 2009; Froudarakis et al., 2014; Jazayeri and Movshon, 2006; Priebe and Lisberger, 2004; Rust et al., 2006; Shadlen et al., 1996; Zohary et al., 1994).”
- Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4. (2009, background): “Jude F. Mitchell, Kristy A. Sundberg, and John H. Reynolds Systems Neurobiology Lab, The Salk Institute, La Jolla, CA”
- Odor representations in olfactory cortex: distributed rate coding and decorrelated population activity (2012, unknown): “rate (Bair et al., 2001; Cohen and Kohn, 2011; Zohary et al., 1994), thought to arise from common inputs, and it has been postulated that these ‘‘structured’’ or ‘‘limited-range’’ correlations are particularly detrimental to the efficiency of population coding (Averbeck et al.”
- Synergy, Redundancy, and Independence in Population Codes (2003, background): “Studies of population decoding have examined how animals might extract information from multiple spike trains (Georgopoulos et al., 1986; Abeles et al., 1993; Zohary et al., 1994; Warland et al., 1997; Brown et al., 1998; Hatsopoulos et al., 1998), as well as the limits of possible decoding algorith”
- Neuromodulation of brain states. (2012, unknown): “…green arrows, projections from neuromodulatory centers to the cortex. that attention also causes a decrease in stimulus-independent correlated firing between neurons (Cohen and Maunsell, 2009; Mitchell et al., 2009), which may improve sensory encoding at the ensemble level (Zohary et al., 1994).”