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Dryad

Stimulus-dependent representational drift in primary visual cortex

Cite this dataset

Marks, Tyler; Goard, Michael (2022). Stimulus-dependent representational drift in primary visual cortex [Dataset]. Dryad. https://doi.org/10.25349/D9M606

Abstract

To produce consistent sensory perception, neurons must maintain stable representations of sensory input. However, neurons in many regions exhibit progressive drift across days. Longitudinal studies have found stable responses to artificial stimuli across sessions in visual areas, but it is unclear whether this stability extends to naturalistic stimuli. We performed chronic 2-photon imaging of mouse V1 populations to directly compare the representational stability of artificial versus naturalistic visual stimuli over weeks. Responses to gratings were highly stable across sessions. However, neural responses to naturalistic movies exhibited progressive representational drift across sessions. Differential drift was present across cortical layers, in inhibitory interneurons, and could not be explained by differential response strength or higher order stimulus statistics. However, representational drift was accompanied by similar differential changes in local population correlation structure. These results suggest representational stability in V1 is stimulus-dependent and may relate to differences in preexisting circuit architecture of co-tuned neurons.

Methods

See the methods section of the manuscript for details on data collection and processing.

Usage notes

All code used for data processing, analysis, and figure generation for the associated manuscript can be found on the Github page listed under related software, and the Goard Lab website: https://goard.mcdb.ucsb.edu/resources.

Funding

Whitehall Foundation

Larry L. Hillblom Foundation

National Science Foundation, Award: 1707287

National Institute of Mental Health, Award: R00 MH104259