Fingerprints of a second order critical line in developing neural networks

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Patterns of biological activity with properties similar to critical states of statistical mechanics have received much attention, as they were mostly seen as indicators of computational optimality. Commonly, a single regime around an isolated critical point is expected. Our experimental data and our network simulations of developing neural cultures indicate the possibility of transitions between different critical regimes. In the latter, the addition of further fundamental neurophysiological principles to the standard neurodynamics branching model generates steeper power laws that have been observed in various experiments. Our analysis exhibits two populations of neurons, each composed of inhibitory and excitatory sites, that have distinct dynamical and topological properties. This generates a line of second order critical points, similar to what is known from the thermodynamics of two-component alloys. An analysis of two major critical regimes found in the experiments suggests that different critical regimes may express distinct computational roles.
Publisher
NATURE PUBLISHING GROUP
Issue Date
2020-01
Language
English
Article Type
Article
Citation

COMMUNICATIONS PHYSICS, v.3, no.1

ISSN
2399-3650
DOI
10.1038/s42005-019-0276-8
URI
http://hdl.handle.net/10203/272577
Appears in Collection
BiS-Journal Papers(저널논문)
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