Self-organized collective oscillations in networks of stochastic spiking neurons
The theory of self-organized bistability (SOB) is the counterpart of self-organized criticality for systems tuning themselves to the edge of bistability of a discontinuous phase transition, rather than to the critical point of a continuous one. As far as we are concerned, there are currently few neu...
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Veröffentlicht in: | Chaos (Woodbury, N.Y.) N.Y.), 2023-02, Vol.33 (2), p.023119-023119 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The theory of self-organized bistability (SOB) is the counterpart of self-organized criticality for systems tuning themselves to the edge of bistability of a discontinuous phase transition, rather than to the critical point of a continuous one. As far as we are concerned, there are currently few neural network models that display SOB or rather its non-conservative version, self-organized collective oscillations (SOCO). We show that by slightly modifying the firing function, a stochastic excitatory/inhibitory network model can display SOCO behaviors, thus providing some insights into how SOCO behaviors can be generated in neural network models. |
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ISSN: | 1054-1500 1089-7682 |
DOI: | 10.1063/5.0130075 |