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- W2034388718 abstract "Synaptic plasticity is considered to play a crucial role in the experience-dependent self-organization of local cortical networks. In the absence of sensory stimuli, cerebral cortex exhibits spontaneous membrane potential transitions between an UP and a DOWN state. To reveal how cortical networks develop spontaneous activity, or conversely, how spontaneous activity structures cortical networks, we analyze the self-organization of a recurrent network model of excitatory and inhibitory neurons, which is realistic enough to replicate UP-DOWN states, with spike-timing-dependent plasticity (STDP). The individual neurons in the self-organized network exhibit a variety of temporal patterns in the two-state transitions. In addition, the model develops a feed-forward network-like structure that produces a diverse repertoire of precise sequences of the UP state. Our model shows that the self-organized activity well resembles the spontaneous activity of cortical networks if STDP is accompanied by the pruning of weak synapses. These results suggest that the two-state membrane potential transitions play an active role in structuring local cortical circuits." @default.
- W2034388718 created "2016-06-24" @default.
- W2034388718 creator A5073758227 @default.
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- W2034388718 date "2008-03-07" @default.
- W2034388718 modified "2023-10-10" @default.
- W2034388718 title "Structure of Spontaneous UP and DOWN Transitions Self-Organizing in a Cortical Network Model" @default.
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- W2034388718 doi "https://doi.org/10.1371/journal.pcbi.1000022" @default.
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