Susceptibility for extremely low external fluctuations and critical behaviour of Greenberg-Hastings neuronal model
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866911429519474688 |
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| author | Almeira, Joaquin Martin, Daniel A. Chialvo, Dante R. Cannas, Sergio A. |
| author_facet | Almeira, Joaquin Martin, Daniel A. Chialvo, Dante R. Cannas, Sergio A. |
| contents | We consider the scaling behaviour of the fluctuation susceptibility associated with the average activation in the Greenberg-Hastings neural network model and its relation to microscopic spontaneous activation. We found that, as the spontaneous activation probability tends to zero, a clear finite size scaling behaviour in the susceptibility emerges, characterized by critical exponents which follow already known scaling laws. This shows that the spontaneous activation probability plays the role of an external field conjugated to the order parameter of the dynamical activation transition. The roles of different kinds of activation mechanisms around the different dynamical phase transitions exhibited by the model are characterized numerically and using a mean field approximation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_22629 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Susceptibility for extremely low external fluctuations and critical behaviour of Greenberg-Hastings neuronal model Almeira, Joaquin Martin, Daniel A. Chialvo, Dante R. Cannas, Sergio A. Disordered Systems and Neural Networks Statistical Mechanics Cellular Automata and Lattice Gases We consider the scaling behaviour of the fluctuation susceptibility associated with the average activation in the Greenberg-Hastings neural network model and its relation to microscopic spontaneous activation. We found that, as the spontaneous activation probability tends to zero, a clear finite size scaling behaviour in the susceptibility emerges, characterized by critical exponents which follow already known scaling laws. This shows that the spontaneous activation probability plays the role of an external field conjugated to the order parameter of the dynamical activation transition. The roles of different kinds of activation mechanisms around the different dynamical phase transitions exhibited by the model are characterized numerically and using a mean field approximation. |
| title | Susceptibility for extremely low external fluctuations and critical behaviour of Greenberg-Hastings neuronal model |
| topic | Disordered Systems and Neural Networks Statistical Mechanics Cellular Automata and Lattice Gases |
| url | https://arxiv.org/abs/2506.22629 |