Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex

Loren Koçillari, Marco Celotto, Nikolas A. Francis, Shoutik Mukherjee, Behtash Babadi, Patrick O. Kanold, Stefano Panzeri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Measures of functional connectivity have played a central role in advancing our understanding of how information is communicated within the brain. Traditionally, these studies have focused on identifying redundant functional connectivity, which involves determining when activity is similar across different sites. However, recent research has highlighted the potential importance of also identifying synergistic connectivity-that is, connectivity that gives rise to information not contained in either site alone. Here, we measured redundant and synergistic functional connectivity with individual-neuron resolution in the primary auditory cortex of the mouse during a perceptual task. Specifically, we identified pairs of neurons that exhibited directed functional connectivity between them, as measured using Granger Causality. We then used Partial Information Decomposition to quantify the amount of redundant and synergystic information carried by these neurons about auditory stimuli. Our findings revealed that functionally connected pairs carry proportionally more redundancy and less synergy than unconnected pairs, suggesting that their functional connectivity is primarily redundant in nature. Furthermore, we observe that the proportion of redundancy is higher for correct than for incorrect behavioral choices, supporting the notion that redundant connectivity is beneficial for behavior.

Original languageEnglish (US)
Title of host publicationBrain Informatics - 16th International Conference, BI 2023, Proceedings
EditorsFeng Liu, Hongjun Wang, Yu Zhang, Hongzhi Kuai, Emily P. Stephen
PublisherSpringer Science and Business Media Deutschland GmbH
Pages45-56
Number of pages12
ISBN (Print)9783031430749
DOIs
StatePublished - 2023
Externally publishedYes
Event16th International Conference on Brain Informatics, BI 2023 - Hoboken, United States
Duration: Aug 1 2023Aug 3 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13974 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Brain Informatics, BI 2023
Country/TerritoryUnited States
CityHoboken
Period8/1/238/3/23

Keywords

  • Auditory perception
  • Functional connectivity
  • Redundancy
  • Synergy

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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