| Autor: |
Aljadeff, Johnatan, Stern, Merav, Sharpee, Tatyana O. |
| Rok vydání: |
2014 |
| Předmět: |
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| Zdroj: |
Phys. Rev. Lett. 114, 088101 (2015) |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.1103/PhysRevLett.114.088101 |
| Popis: |
In neural circuits, statistical connectivity rules strongly depend on neuronal type. Here we study dynamics of neural networks with cell-type specific connectivity by extending the dynamic mean field method, and find that these networks exhibit a phase transition between silent and chaotic activity. By analyzing the locus of this transition, we derive a new result in random matrix theory: the spectral radius of a random connectivity matrix with block-structured variances. We apply our results to show how a small group of hyper-excitable neurons within the network can significantly increase the network's computational capacity. |
| Databáze: |
arXiv |
| Externí odkaz: |
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