| Autor: |
Salners T; Department of Physics, University of Illinois at Urbana Champaign, Urbana, Illinois 61801, USA., Dahmen KA; Department of Physics, University of Illinois at Urbana Champaign, Urbana, Illinois 61801, USA., Beggs J; Department of Physics, Indiana University, Bloomington, Indiana 47405, USA. |
| Jazyk: |
angličtina |
| Zdroj: |
Physical review. E [Phys Rev E] 2024 Jul; Vol. 110 (1-1), pp. 014401. |
| DOI: |
10.1103/PhysRevE.110.014401 |
| Abstrakt: |
A simple model is used to simulate seizures in a population of spiking excitatory neurons experiencing a uniform effect from inhibitory neurons. A key feature is introduced into the model, i.e., a mechanism that weakens the firing thresholds. This weakening mechanism adds memory to the dynamics. We find a seizure-prone state in a "mode-switching" phase. In this phase, the system can suddenly switch from a "healthy" state with small scale-free avalanches to a "seizure" state with almost periodic large avalanches ("seizures"). Simulations of the model predict statistics for the average time spent in the seizure state (the seizure "duration") that agree with experiments and theoretical examples of similar behavior in neuronal systems. Our study points to. different connections between seizures and fracture and also offers an alternative view on the type of critical point controlling neuronal avalanches. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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