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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.21897 |
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| _version_ | 1866909869821394944 |
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| author | Pirogov, S. A. Rybko, A. N. Pervouchine, D. D. Petrova, E. N. |
| author_facet | Pirogov, S. A. Rybko, A. N. Pervouchine, D. D. Petrova, E. N. |
| contents | The net of N ``physical'' neurons is considered as a dynamical system. These neurons form a complete graph. The state of any neuron is its electric potential. The potential linearly increases until reaches its maximal value. Then it falls to zero and the neuron sends spikes to all other neurons. Having got a spike any neuron changes its state by some given function. We study the problem of a synchronization of the net. We glue the maximal value of potential to zero and so consider the state of any neuron as a point on the circle. We prove that under some conditions the states of neurons considered as points on the circle finally (when time turns to infinity) form a set which is time-invariant modulo its uniform rotation along the circle. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_21897 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dynamic System of Neurons on a Complete Graph: Synchronization Pirogov, S. A. Rybko, A. N. Pervouchine, D. D. Petrova, E. N. Dynamical Systems Probability The net of N ``physical'' neurons is considered as a dynamical system. These neurons form a complete graph. The state of any neuron is its electric potential. The potential linearly increases until reaches its maximal value. Then it falls to zero and the neuron sends spikes to all other neurons. Having got a spike any neuron changes its state by some given function. We study the problem of a synchronization of the net. We glue the maximal value of potential to zero and so consider the state of any neuron as a point on the circle. We prove that under some conditions the states of neurons considered as points on the circle finally (when time turns to infinity) form a set which is time-invariant modulo its uniform rotation along the circle. |
| title | Dynamic System of Neurons on a Complete Graph: Synchronization |
| topic | Dynamical Systems Probability |
| url | https://arxiv.org/abs/2510.21897 |