A Measure of Concurrent Neural Firing Activity Based on Mutual Information.
Concurrent activity
Correlation
Firing patterns
Mutual information
Neural synchrony
Journal
Neuroinformatics
ISSN: 1559-0089
Titre abrégé: Neuroinformatics
Pays: United States
ID NLM: 101142069
Informations de publication
Date de publication:
10 2021
10 2021
Historique:
accepted:
03
02
2021
pubmed:
15
4
2021
medline:
24
11
2021
entrez:
14
4
2021
Statut:
ppublish
Résumé
Multiple methods have been developed in an attempt to quantify stimulus-induced neural coordination and to understand internal coordination of neuronal responses by examining the synchronization phenomena in neural discharge patterns. In this work we propose a novel approach to estimate the degree of concomitant firing between two neural units, based on a modified form of mutual information (MI) applied to a two-state representation of the firing activity. The binary profile of each single unit unfolds its discharge activity in time by decomposition into the state of neural quiescence/low activity and state of moderate firing/bursting. Then, the MI computed between the two binary streams is normalized by their minimum entropy and is taken as positive or negative depending on the prevalence of identical or opposite concomitant states. The resulting measure, denoted as Concurrent Firing Index based on MI (CFI
Identifiants
pubmed: 33852134
doi: 10.1007/s12021-021-09515-w
pii: 10.1007/s12021-021-09515-w
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
719-735Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.
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