Integrated information as a measure of cognitive processes in coupled genetic repressilators
Open accessAbstract
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.
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IIT-based models of metabolic cycles and gene-regulatory networks suggest that adaptive capacities of biotic systems may require high-phi configurations.
“Notably, IIT-based models of metabolic cycles and gene-regulatory networks—core processes for homeostasis and autopoiesis—suggest that adaptive capacities of biotic systems may require high-phi configurations (Marshall et al., 2017; Abrego and Zaikin, 2019).”
From An Integrated World Modeling Theory (IWMT) of Consciousness (2020) · cites this paper as Abrego and Zaikin, 2019
The Conclusions (page unavailable) link adaptive advantage in coupled genetic repressilators to a balance of integration and segregation, and report that switching between states maximizes integrated information. They do not establish that adaptation requires high-phi configurations; the paper models genetic oscillators, not metabolic cycles. (LLM, conf=0.86)
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Flagged first, then by citations
1 of the 53 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
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Sorted by citations
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“Notably, IIT-based models of metabolic cycles and gene-regulatory networks—core processes for homeostasis and autopoiesis—suggest that adaptive capacities of biotic systems may require high-phi configurations (Marshall et al., 2017; Abrego and Zaikin, 2019).”
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Self-citation
- Authors
- Abrego, L., & Zaikin, A.
- Affiliations
- The Alan Turing Institute (GB)
- Sechenov University (RU)
- Corresponding author
- Zaikin, Alexey
- Venue
- Entropy
- Publisher
- MDPI AG
- Published
- 2019-04-10
- Volume
- 21
- Issue
- 4
- Pages
- 382
- ISSN
- 1099-4300 (ISSN-L)
- PMC
- PMC7514866
- OpenAlex
- W2936218093
- Cited by
- 5
- References
- 53
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 2 · 2020: 1
- FWCI
- 0.33
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Entropy (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Russian Science Foundation (16-12-00077)
- Consejo Nacional de Ciencia y Tecnología (CVU 598782)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
- Physical Sciences › Computer Science › Computer Networks and Communications › Nonlinear Dynamics and Pattern Formation
- Keywords
- integrated information, repressilator, quorum sensing, multistability, attractors, information transmission, intercellular communication, dynamical complexity, cell fate differentiation, self-organization, synthetic gene networks
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