English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Prior empirical and theoretical studies in neurophysiology have suggested that noise correlations between neurons could have a great impact on the fidelity of population codes in macaque visual cortex. However, it remains unclear whether such insights generalize to the large-scale brain activity in human sensory cortex. Here, we use functional magnetic resonance imaging (fMRI) to examine the effect of noise correlations on population coding of orientation in human V1. Trialwise responses of each V1 voxel is estimated for four orientations. We estimate the Fisher information carried by voxel responses for orientation in the empirically observed data (i.e., with noise correlations) and in a simulated regime in which voxelwise noise correlations are absent. Results show that the removal of noise correlations dramatically reduces information by one order of magnitude. This suggests that correlated activity could mediate the accuracy of population codes in the human brain, and that voxelwise noise correlations in human V1 are mostly beneficial, unlike the neuronal noise correlations that are often found to be detrimental.

Trial-by-trial voxelwise noise correlations improve population coding of orientation in human V1