@inproceedings{c34feb63d1614d9aacd5eba36b8d6d49,
title = "Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex",
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.",
keywords = "Auditory perception, Functional connectivity, Redundancy, Synergy",
author = "Loren Ko{\c c}illari and Marco Celotto and Francis, {Nikolas A.} and Shoutik Mukherjee and Behtash Babadi and Kanold, {Patrick O.} and Stefano Panzeri",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 16th International Conference on Brain Informatics, BI 2023 ; Conference date: 01-08-2023 Through 03-08-2023",
year = "2023",
doi = "10.1007/978-3-031-43075-6_5",
language = "English (US)",
isbn = "9783031430749",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "45--56",
editor = "Feng Liu and Hongjun Wang and Yu Zhang and Hongzhi Kuai and Stephen, {Emily P.}",
booktitle = "Brain Informatics - 16th International Conference, BI 2023, Proceedings",
address = "Germany",
}