Signal transduction in cognitive systems : Origin and dynamics of the inverted-U/U dose-response relations
Copyright © 2020 Elsevier Ltd. All rights reserved..
Cognitive systems are indeed physical systems, but have behavioral patterns extending far beyond familiar physical changes. These behaviors are characterized by underlying symmetries and temperature measures much different from those driving phase transitions in non-cognitive systems. We define a temperature analog dependent on a scalarized synergism between rates of internal crosstalk, external sensory information, and material supply, and show that, if the analog fits a simple concavity relation with the rate index, then the dose-response curve of cognition rate with that index will be an inverted-U. If convex, the relation will be U-shaped. The basic results can be generalized at the expense of further mathematical detail to fit a broad spectrum of empirical patterns.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:504 |
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| Enthalten in: |
Journal of theoretical biology - 504(2020) vom: 07. Nov., Seite 110377 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Wallace, Rodrick [VerfasserIn] |
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| Links: |
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| Themen: |
Control theory |
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| Anmerkungen: |
Date Completed 21.06.2021 Date Revised 21.06.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.jtbi.2020.110377 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Cognitive systems are indeed physical systems, but have behavioral patterns extending far beyond familiar physical changes. These behaviors are characterized by underlying symmetries and temperature measures much different from those driving phase transitions in non-cognitive systems. We define a temperature analog dependent on a scalarized synergism between rates of internal crosstalk, external sensory information, and material supply, and show that, if the analog fits a simple concavity relation with the rate index, then the dose-response curve of cognition rate with that index will be an inverted-U. If convex, the relation will be U-shaped. The basic results can be generalized at the expense of further mathematical detail to fit a broad spectrum of empirical patterns | ||
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