Structure of spontaneous UP and DOWN transitions self-organizing in a cortical network model.

@article{citeulike:2625387, 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.}, address = {Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Wako, Japan.}, author = {Kang, S. and Kitano, K. and Fukai, T. }, citeulike-article-id = {2625387}, doi = {http://dx.doi.org/10.1371/journal.pcbi.1000022}, issn = {1553-7358}, journal = {PLoS computational biology}, keywords = {model, sponta, stdp}, month = {March}, number = {3}, posted-at = {2008-04-03 09:06:46}, priority = {2}, title = {Structure of spontaneous UP and DOWN transitions self-organizing in a cortical network model.}, url = {http://dx.doi.org/10.1371/journal.pcbi.1000022}, volume = {4}, year = {2008} }

TY - JOUR ID - citeulike:2625387 L3 - citeulike-article-id:2625387 TI - Structure of spontaneous UP and DOWN transitions self-organizing in a cortical network model. JF - PLoS computational biology VL - 4 IS - 3 AD - Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Wako, Japan. SN - 1553-7358 N2 - 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. KW - model KW - sponta KW - stdp AU - Kang, S AU - Kitano, K AU - Fukai, T PY - 2008/03// UR - http://dx.doi.org/10.1371/journal.pcbi.1000022 ER -