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Entropy 2019, 21(4), 382; https://doi.org/10.3390/e21040382

Integrated Information as a Measure of Cognitive Processes in Coupled Genetic Repressilators

1,2 and 1,3,4,5,*
1
Department of Mathematics, University College London, London WC1E 6BT, UK
2
The Alan Turing Institute, London NW1 2DB, UK
3
Institute for Women’s Health, University College London, London WC1E 6BT, UK
4
Department of Applied Mathematics and Laboratory of Systems Biology of Aging, Lobachevsky State University of Nizhniy Novgorod, 603022 Nizhniy Novgorod, Russia
5
Department of Pediatrics, Faculty of Pediatrics, Sechenov University, 119146 Moscow, Russia
*
Author to whom correspondence should be addressed.
Received: 20 November 2018 / Revised: 1 April 2019 / Accepted: 2 April 2019 / Published: 10 April 2019
(This article belongs to the Special Issue Integrated Information Theory)
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Abstract

Intercellular communication and its coordination allow cells to exhibit multistability as a form of adaptation. This conveys information processing from intracellular signaling networks enabling self-organization between other cells, typically involving mechanisms associated with cognitive systems. How information is integrated in a functional manner and its relationship with the different cell fates is still unclear. In parallel, drawn originally from studies on neuroscience, integrated information proposes an approach to quantify the balance between integration and differentiation in the causal dynamics among the elements in any interacting system. In this work, such an approach is considered to study the dynamical complexity in a genetic network of repressilators coupled by quorum sensing. Several attractors under different conditions are identified and related to proposed measures of integrated information to have an insight into the collective interaction and functional differentiation in cells. This research particularly accounts for the open question about the coding and information transmission in genetic systems. View Full-Text
Keywords: integrated information; complex dynamics; synthetic biology; genetic regulatory networks; repressilator; cell differentiation; synchronization; clustering integrated information; complex dynamics; synthetic biology; genetic regulatory networks; repressilator; cell differentiation; synchronization; clustering
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Abrego, L.; Zaikin, A. Integrated Information as a Measure of Cognitive Processes in Coupled Genetic Repressilators. Entropy 2019, 21, 382.

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