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• W2000470900 abstract "In neural circuits, statistical connectivity rules strongly depend on cell-type identity. 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 hyperexcitable neurons within the network can significantly increase the network's computational capacity by bringing it into the chaotic regime." @default.
• W2000470900 created "2016-06-24" @default.
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• W2000470900 date "2015-02-23" @default.
• W2000470900 modified "2023-10-17" @default.
• W2000470900 title "Transition to Chaos in Random Networks with Cell-Type-Specific Connectivity" @default.
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• W2000470900 doi "https://doi.org/10.1103/physrevlett.114.088101" @default.
• W2000470900 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4527561" @default.
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