Skip to main content
Dryad logo

Data from: Dynamic reorganization of neuronal activity patterns in parietal cortex dataset

Citation

Driscoll, Laura N. et al. (2020), Data from: Dynamic reorganization of neuronal activity patterns in parietal cortex dataset, Dryad, Dataset, https://doi.org/10.5061/dryad.gqnk98sjq

Abstract

Neuronal representations change as associations are learned between sensory stimuli and behavioral actions. However, it is poorly understood whether representations for learned associations stabilize in cortical association areas or continue to change following learning. We tracked the activity of posterior parietal cortex neurons for a month as mice stably performed a virtual-navigation task. The relationship between cells’ activity and task features was mostly stable on single days but underwent major reorganization over weeks. The neurons informative about task features (trial type and maze locations) changed across days. Despite changes in individual cells, the population activity had statistically similar properties each day and stable information for over a week. As mice learned additional associations, new activity patterns emerged in the neurons used for existing representations without greatly affecting the rate of change of these representations. We propose that dynamic neuronal activity patterns could balance plasticity for learning and stability for memory.

Methods

This dataset contains calcium imaging data from the posterior parietal cortex (PPC) in mice performing a fixed association navigation task. The raw data consists of images, while the processed data consists of fluorescence transients of individual ROIs and behavioral variables (mouse position, view angle, velocity etc.). The data is from five animals and includes 182 recording sessions. Results from the experiments are described in:

Driscoll, L. N., Pettit, N. L., Minderer, M., Chettih, S. N., & Harvey, C. D. (2017). Dynamic reorganization of neuronal activity patterns in parietal cortex. Cell170(5), 986-999

Funding

Burroughs-Wellcome Fund Career Award at the Scientific Interface

Searle Scholars Program

New York Stem Cell Foundation

Alfred P. Sloan Research Foundation

NARSAD Brain and Behavior Research Young Investigator Award

National Institute of Mental Health BRAINS program, Award: R01MH107620

National Institute of Neurological Disorders and Stroke, Award: R01NS089521

New approaches to understand neuronal microcircuit dynamics for working memory, Award: R01MH107620

Burroughs-Wellcome Fund Career Award at the Scientific Interface

NARSAD Brain and Behavior Research Young Investigator Award

National Institute of Mental Health BRAINS program, Award: R01MH107620

New approaches to understand neuronal microcircuit dynamics for working memory, Award: R01MH107620