Adaptation Improves Neural Coding Efficiency Despite Increasing Correlations in Variability

doi:10.1523/jneurosci.3449-12.2013

Adaptation Improves Neural Coding Efficiency Despite Increasing Correlations in Variability

2013-01-30

0

OA

AI

DOI：10.1523/jneurosci.3449-12.2013

原文链接

原文求助

摘要

En 中文

Exposure of cortical cells to sustained sensory stimuli results in changes in the neuronal response function. This phenomenon, known as adaptation, is a common feature across sensory modalities. Here, we quantified the functional effect of adaptation on the ensemble activity of cortical neurons in the rat whisker-barrel system. A multishank array of electrodes was used to allow simultaneous sampling of neuronal activity. We characterized the response of neurons to sinusoidal whisker vibrations of varying amplitude in three states of adaptation. The adaptors produced a systematic rightward shift in the neuronal response function. Consistently, mutual information revealed that peak discrimination performance was not aligned to the adaptor but to test amplitudes 3–9 μm higher. Stimulus presentation reduced single neuron trial-to-trial response variability (captured by Fano factor) and correlations in the population response variability (noise correlation). We found that these two types of variability were inversely proportional to the average firing rate regardless of the adaptation state. Adaptation transferred the neuronal operating regime to lower rates with higher Fano factor and noise correlations. Noise correlations were positive and in the direction of signal, and thus detrimental to coding efficiency. Interestingly, across all population sizes, the net effect of adaptation was to increase the total information despite increasing the noise correlation between neurons.

Adaptation Improves Neural Coding Efficiency Despite Increasing Correlations in Variability

摘要

期刊

机构

引用论文