Research ExplorerPublicationsMeasuring Stimulus-Related Redundant and Synergistic Functio...

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

Standard

Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex. / Kocillari, Loren; Celotto, Marco; Francis, Nikolas A; Mukherjee, Shoutik; Babadi, Behtash; Kanold, Patrick O; Panzeri, Stefano.

Brain Informatics: 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1–3, 2023, Proceedings. ed. / Feng Liu; Yu Zhang; Hongzhi Kuai; Emily P. Stephen; Hongjun Wang. 1. ed. Cham : Springer, Cham, 2023. p. 45-56 (Brain informatics).

Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

Harvard

Kocillari, L, Celotto, M, Francis, NA, Mukherjee, S, Babadi, B, Kanold, PO & Panzeri, S 2023, Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex. in F Liu, Y Zhang, H Kuai, EP Stephen & H Wang (eds), Brain Informatics: 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1–3, 2023, Proceedings. 1 edn, Brain informatics, Springer, Cham, Cham, pp. 45-56. https://doi.org/10.1007/978-3-031-43075-6_5

APA

Kocillari, L., Celotto, M., Francis, N. A., Mukherjee, S., Babadi, B., Kanold, P. O., & Panzeri, S. (2023). Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex. In F. Liu, Y. Zhang, H. Kuai, E. P. Stephen, & H. Wang (Eds.), Brain Informatics: 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1–3, 2023, Proceedings (1 ed., pp. 45-56). (Brain informatics). Springer, Cham. https://doi.org/10.1007/978-3-031-43075-6_5

Vancouver

Kocillari L, Celotto M, Francis NA, Mukherjee S, Babadi B, Kanold PO et al. Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex. In Liu F, Zhang Y, Kuai H, Stephen EP, Wang H, editors, Brain Informatics: 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1–3, 2023, Proceedings. 1 ed. Cham: Springer, Cham. 2023. p. 45-56. (Brain informatics). https://doi.org/10.1007/978-3-031-43075-6_5

Bibtex

@inbook{765bed5f3ced41cfa6e001ff87cbbbd8,
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.",
author = "Loren Kocillari and Marco Celotto and Francis, {Nikolas A} and Shoutik Mukherjee and Behtash Babadi and Kanold, {Patrick O} and Stefano Panzeri",
year = "2023",
month = sep,
day = "13",
doi = "10.1007/978-3-031-43075-6_5",
language = "English",
isbn = "978-3-031-43074-9",
series = "Brain informatics",
publisher = "Springer, Cham",
pages = "45--56",
editor = "Feng Liu and Yu Zhang and Hongzhi Kuai and Stephen, {Emily P.} and Hongjun Wang",
booktitle = "Brain Informatics",
edition = "1",

}

RIS

TY - CHAP

T1 - Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex

AU - Kocillari, Loren

AU - Celotto, Marco

AU - Francis, Nikolas A

AU - Mukherjee, Shoutik

AU - Babadi, Behtash

AU - Kanold, Patrick O

AU - Panzeri, Stefano

PY - 2023/9/13

Y1 - 2023/9/13

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-031-43075-6_5

DO - 10.1007/978-3-031-43075-6_5

M3 - SCORING: Contribution to collected editions/anthologies

SN - 978-3-031-43074-9

T3 - Brain informatics

SP - 45

EP - 56

BT - Brain Informatics

A2 - Liu, Feng

A2 - Zhang, Yu

A2 - Kuai, Hongzhi

A2 - Stephen, Emily P.

A2 - Wang, Hongjun

PB - Springer, Cham

CY - Cham

ER -