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Bridging neuronal correlations and dimensionality reduction

Bridging neuronal correlations and dimensionality reduction

来源:bioRxiv_logobioRxiv
英文摘要

Abstract Two commonly used approaches to study interactions among neurons are spike count correlation, which describes pairs of neurons, and dimensionality reduction, applied to a population of neurons. While both approaches have been used to study trial-to-trial correlated neuronal variability, they are often used in isolation and have not been directly related. We first established concrete mathematical and empirical relationships between pairwise correlation and metrics of population-wide covariability based on dimensionality reduction. Applying these insights to macaque V4 population recordings, we found that the previously reported decrease in mean pairwise correlation associated with attention stemmed from three distinct changes in population-wide covariability. Overall, our work builds the intuition and formalism to bridge between pairwise correlation and population-wide covariability and presents a cautionary tale about the inferences one can make about population activity by using a single statistic, whether it be mean pairwise correlation or dimensionality.

Umakantha Akash、Yu Byron M.、Snyder Adam C.、Morina Rudina、Cowley Benjamin R.、Smith Matthew A.

Carnegie Mellon Neuroscience Institute||Machine Learning Department, Carnegie Mellon UniversityCarnegie Mellon Neuroscience Institute||Department of Electrical and Computer Engineering, Carnegie Mellon University||Department of Biomedical Engineering, Carnegie Mellon UniversityDepartment of Electrical and Computer Engineering, Carnegie Mellon University||Department of Brain and Cognitive Sciences, University of Rochester||Department of Neuroscience, University of Rochester||Center for Visual Science, University of RochesterDepartment of Electrical and Computer Engineering, Carnegie Mellon UniversityMachine Learning Department, Carnegie Mellon University||Princeton Neuroscience Institute, Princeton UniversityCarnegie Mellon Neuroscience Institute||Department of Biomedical Engineering, Carnegie Mellon University

10.1101/2020.12.04.383604

生物科学研究方法、生物科学研究技术生物物理学

Umakantha Akash,Yu Byron M.,Snyder Adam C.,Morina Rudina,Cowley Benjamin R.,Smith Matthew A..Bridging neuronal correlations and dimensionality reduction[EB/OL].(2025-03-28)[2025-05-02].https://www.biorxiv.org/content/10.1101/2020.12.04.383604.点此复制

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