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Open access
Date
2020Type
- Journal Article
Abstract
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. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000396544Publication status
publishedExternal links
Journal / series
Communications PhysicsVolume
Pages / Article No.
Publisher
NatureOrganisational unit
02533 - Institut für Neuroinformatik / Institute of Neuroinformatics
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