Partial information decomposition reveals that synergistic neural integration is greater downstream of recurrent information flow in organotypic cortical cultures.

Autor: Sherrill SP; Department of Psychological and Brain Sciences & Program in Neuroscience, Indiana University Bloomington, Bloomington, Indiana, United States of America., Timme NM; Department of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, United States of America., Beggs JM; Department of Physics & Program in Neuroscience, Indiana University Bloomington, Bloomington, Indiana, United States of America., Newman EL; Department of Psychological and Brain Sciences & Program in Neuroscience, Indiana University Bloomington, Bloomington, Indiana, United States of America.
Jazyk: angličtina
Zdroj: PLoS computational biology [PLoS Comput Biol] 2021 Jul 12; Vol. 17 (7), pp. e1009196. Date of Electronic Publication: 2021 Jul 12 (Print Publication: 2021).
DOI: 10.1371/journal.pcbi.1009196
Abstrakt: The directionality of network information flow dictates how networks process information. A central component of information processing in both biological and artificial neural networks is their ability to perform synergistic integration-a type of computation. We established previously that synergistic integration varies directly with the strength of feedforward information flow. However, the relationships between both recurrent and feedback information flow and synergistic integration remain unknown. To address this, we analyzed the spiking activity of hundreds of neurons in organotypic cultures of mouse cortex. We asked how empirically observed synergistic integration-determined from partial information decomposition-varied with local functional network structure that was categorized into motifs with varying recurrent and feedback information flow. We found that synergistic integration was elevated in motifs with greater recurrent information flow beyond that expected from the local feedforward information flow. Feedback information flow was interrelated with feedforward information flow and was associated with decreased synergistic integration. Our results indicate that synergistic integration is distinctly influenced by the directionality of local information flow.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
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