Seenivasan, P and Narayanan, R (2022) Efficient information coding and degeneracy in the nervous system. In: Current Opinion in Neurobiology, 76 .
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Abstract
Efficient information coding (EIC) is a universal biological framework rooted in the fundamental principle that system responses should match their natural stimulus statistics for maximizing environmental information. Quantitatively assessed through information theory, such adaptation to the environment occurs at all biological levels and timescales. The context dependence of environmental stimuli and the need for stable adaptations make EIC a daunting task. We argue that biological complexity is the principal architect that subserves deft execution of stable EIC. Complexity in a system is characterized by several functionally segregated subsystems that show a high degree of functional integration when they interact with each other. Complex biological systems manifest heterogeneities and degeneracy, wherein structurally different subsystems could interact to yield the same functional outcome. We argue that complex systems offer several choices that effectively implement EIC and homeostasis for each of the different contexts encountered by the system.
| Item Type: | Journal Article |
|---|---|
| Publication: | Current Opinion in Neurobiology |
| Publisher: | Elsevier Ltd |
| Additional Information: | The copyright for this article belongs to the Author(s). |
| Keywords: | biology; homeostasis; human; information science; nervous system; quantitative analysis; review |
| Department/Centre: | Division of Biological Sciences > Molecular Biophysics Unit |
| Date Deposited: | 17 Sep 2022 03:37 |
| Last Modified: | 17 Sep 2022 03:37 |
| URI: | https://eprints.iisc.ac.in/id/eprint/76582 |
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