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Optimizing Measures of Information Encoding in Astrocytic Calcium Signals

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Optimizing Measures of Information Encoding in Astrocytic Calcium Signals. / Bonato, Jacopo; Curreli, Sebastiano; Fellin, Tommaso; Panzeri, Stefano.

Brain Informatics. ed. / Mufti Mahmud; Jing He; Stefano Vassanelli; André van Zundert; Ning Zhong. Vol. 13406 1. ed. Cham : Springer, Cham, 2022. p. 117–128 (Lecture Notes in Artificial Intelligence (LNAI)).

Research output: SCORING: Contribution to book/anthology › Conference contribution - Article for conference › Research › peer-review

Harvard

Bonato, J, Curreli, S, Fellin, T & Panzeri, S 2022, Optimizing Measures of Information Encoding in Astrocytic Calcium Signals. in M Mahmud, J He, S Vassanelli, A van Zundert & N Zhong (eds), Brain Informatics. 1 edn, vol. 13406, Lecture Notes in Artificial Intelligence (LNAI), Springer, Cham, Cham, pp. 117–128. https://doi.org/10.1007/978-3-031-15037-1_10

APA

Bonato, J., Curreli, S., Fellin, T., & Panzeri, S. (2022). Optimizing Measures of Information Encoding in Astrocytic Calcium Signals. In M. Mahmud, J. He, S. Vassanelli, A. van Zundert, & N. Zhong (Eds.), Brain Informatics (1 ed., Vol. 13406, pp. 117–128). (Lecture Notes in Artificial Intelligence (LNAI)). Springer, Cham. https://doi.org/10.1007/978-3-031-15037-1_10

Vancouver

Bonato J, Curreli S, Fellin T, Panzeri S. Optimizing Measures of Information Encoding in Astrocytic Calcium Signals. In Mahmud M, He J, Vassanelli S, van Zundert A, Zhong N, editors, Brain Informatics. 1 ed. Vol. 13406. Cham: Springer, Cham. 2022. p. 117–128. (Lecture Notes in Artificial Intelligence (LNAI)). https://doi.org/10.1007/978-3-031-15037-1_10

Bibtex

@inbook{e1ed9c6643e2428a93436fd5c10b3f98,
title = "Optimizing Measures of Information Encoding in Astrocytic Calcium Signals",
abstract = "While most models of brain information encoding focus on neurons, recent studies have shown that calcium dynamics of astrocytes, the major class of non-neural cells in the brain, can add information about key cognitive variables that is not found in the activity of nearby neurons. This raises the question of what could be the contribution of astrocytes in information processing, and calls for analysis tools to characterize this contribution. Here we construct simulations with realistic dependencies of astrocytic activity on external variables and we use these simulations to understand how to optimally set parameters of information theoretic analysis of astrocytic activities. Applications of our techniques to simulated and real astrocytic data show how to set parameters of information analyses that provide conservative, yet reliable, estimates of astrocytic calcium dynamics contribution to circuit-level brain information processing.",
author = "Jacopo Bonato and Sebastiano Curreli and Tommaso Fellin and Stefano Panzeri",
year = "2022",
month = aug,
day = "20",
doi = "10.1007/978-3-031-15037-1_10",
language = "English",
isbn = "978-3-031-15036-4",
volume = "13406",
series = "Lecture Notes in Artificial Intelligence (LNAI)",
publisher = "Springer, Cham",
pages = "117–128",
editor = "Mufti Mahmud and Jing He and Stefano Vassanelli and {van Zundert}, Andr{\'e} and Ning Zhong",
booktitle = "Brain Informatics",
edition = "1",

}

RIS

TY - CHAP

T1 - Optimizing Measures of Information Encoding in Astrocytic Calcium Signals

AU - Bonato, Jacopo

AU - Curreli, Sebastiano

AU - Fellin, Tommaso

AU - Panzeri, Stefano

PY - 2022/8/20

Y1 - 2022/8/20

N2 - While most models of brain information encoding focus on neurons, recent studies have shown that calcium dynamics of astrocytes, the major class of non-neural cells in the brain, can add information about key cognitive variables that is not found in the activity of nearby neurons. This raises the question of what could be the contribution of astrocytes in information processing, and calls for analysis tools to characterize this contribution. Here we construct simulations with realistic dependencies of astrocytic activity on external variables and we use these simulations to understand how to optimally set parameters of information theoretic analysis of astrocytic activities. Applications of our techniques to simulated and real astrocytic data show how to set parameters of information analyses that provide conservative, yet reliable, estimates of astrocytic calcium dynamics contribution to circuit-level brain information processing.

AB - While most models of brain information encoding focus on neurons, recent studies have shown that calcium dynamics of astrocytes, the major class of non-neural cells in the brain, can add information about key cognitive variables that is not found in the activity of nearby neurons. This raises the question of what could be the contribution of astrocytes in information processing, and calls for analysis tools to characterize this contribution. Here we construct simulations with realistic dependencies of astrocytic activity on external variables and we use these simulations to understand how to optimally set parameters of information theoretic analysis of astrocytic activities. Applications of our techniques to simulated and real astrocytic data show how to set parameters of information analyses that provide conservative, yet reliable, estimates of astrocytic calcium dynamics contribution to circuit-level brain information processing.

U2 - 10.1007/978-3-031-15037-1_10

DO - 10.1007/978-3-031-15037-1_10

M3 - Conference contribution - Article for conference

SN - 978-3-031-15036-4

VL - 13406

T3 - Lecture Notes in Artificial Intelligence (LNAI)

SP - 117

EP - 128

BT - Brain Informatics

A2 - Mahmud, Mufti

A2 - He, Jing

A2 - Vassanelli, Stefano

A2 - van Zundert, André

A2 - Zhong, Ning

PB - Springer, Cham

CY - Cham

ER -