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- W2836571586 endingPage "e1006216" @default.
- W2836571586 startingPage "e1006216" @default.
- W2836571586 abstract "The time scale of neuronal network dynamics is determined by synaptic interactions and neuronal signal integration, both of which occur on the time scale of milliseconds. Yet many behaviors like the generation of movements or vocalizations of sounds occur on the much slower time scale of seconds. Here we ask the question of how neuronal networks of the brain can support reliable behavior on this time scale. We argue that excitable neuronal assemblies with spike-frequency adaptation may serve as building blocks that can flexibly adjust the speed of execution of neural circuit function. We show in simulations that a chain of neuronal assemblies can propagate signals reliably, similar to the well-known synfire chain, but with the crucial difference that the propagation speed is slower and tunable to the behaviorally relevant range. Moreover we study a grid of excitable neuronal assemblies as a simplified model of the somatosensory barrel cortex of the mouse and demonstrate that various patterns of experimentally observed spatial activity propagation can be explained." @default.
- W2836571586 created "2018-07-19" @default.
- W2836571586 creator A5018336412 @default.
- W2836571586 creator A5087377236 @default.
- W2836571586 creator A5089163572 @default.
- W2836571586 date "2018-07-06" @default.
- W2836571586 modified "2023-10-03" @default.
- W2836571586 title "Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation" @default.
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- W2836571586 doi "https://doi.org/10.1371/journal.pcbi.1006216" @default.
- W2836571586 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6051644" @default.
- W2836571586 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29979674" @default.