Estimating the energy of dissipative neural systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F24%3A00081196" target="_blank" >RIV/00159816:_____/24:00081196 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/article/10.1007/s11571-024-10166-1" target="_blank" >https://link.springer.com/article/10.1007/s11571-024-10166-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11571-024-10166-1" target="_blank" >10.1007/s11571-024-10166-1</a>

Result language

angličtina

Original language name

Estimating the energy of dissipative neural systems

Original language description

FagerholmThere is, at present, a lack of consensus regarding precisely what is meant by the term &apos;energy&apos; across the sub-disciplines of neuroscience. Definitions range from deficits in the rate of glucose metabolism in consciousness research to regional changes in neuronal activity in cognitive neuroscience. In computational neuroscience virtually all models define the energy of neuronal regions as a quantity that is in a continual process of dissipation to its surroundings. This, however, is at odds with the definition of energy used across all sub-disciplines of physics: a quantity that does not change as a dynamical system evolves in time. Here, we bridge this gap between the dissipative models used in computational neuroscience and the energy-conserving models of physics using a mathematical technique first proposed in the context of fluid dynamics. We go on to derive an expression for the energy of the linear time-invariant (LTI) state space equation. We then use resting-state fMRI data obtained from the human connectome project to show that LTI energy is associated with glucose uptake metabolism. Our hope is that this work paves the way for an increased understanding of energy in the brain, from both a theoretical as well as an experimental perspective.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30103 - Neurosciences (including psychophysiology)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Cognitive Neurodynamics

ISSN

1871-4099

e-ISSN

1871-4099

Volume of the periodical

18

Issue of the periodical within the volume

6

Country of publishing house

US - UNITED STATES

Number of pages

8

Pages from-to

3839-3846

UT code for WoS article

001302327300001

EID of the result in the Scopus database

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