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High-Fidelity Coding with Correlated Neurons

Figure 7

Schematics of an experimental test of high-fidelity correlated coding.

A. Representation of a population of 50 neurons recorded under two stimulus conditions. Each cell displays firing rates and in response to the two stimuli, respectively; the color scale shows the difference in rates, . B. The population is divided into two groups, depending on whether their cells fire more significantly in response to the first (preferred) or the second (anti-preferred) stimulus. C. Matrix of correlation values among all pairs of neurons (red = large, blue = small, black = average), divided into preferred and anti-preferred groups. Although the overall correlation is stronger for neurons with the same stimulus tuning (average correlation of pref-pref = 0.206, anti-anti = 0.217, and pref-anti = 0.111), a subset of neurons (Pool 1 and Pool 2) are identified which have the pattern of correlation favorable to lock-in. D. Matrix of pairwise correlations after re-labeling cells in order to sort out Pools 1 and 2. Now the favorable pattern of correlation is visible.

doi: https://doi.org/10.1371/journal.pcbi.1003970.g007