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Learning intrinsic excitability in medium spiny neurons | Gabriele Scheler
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21 Feb 2005 | Subject: | Neurons and Cognition | q-bio.NC | Abstract: | We present an unsupervised, local activation-dependent learning rule for intrinsic plasticity (IP) which affects the composition of ion channel conductances for single neurons in a use-dependent way. We use a single-compartment conductance-based model for medium spiny striatal neurons in order to show the effects of parametrization of individual ion channels on the neuronal activation function. We show that parameter changes within the physiological ranges are sufficient to create an ensemble of neurons with significantly different activation functions. We show that there are specific conditions to be met for emergence vs. suppression of the effects of intrinsic neuronal variability on spiking behavior. The adaptation of the spike response may result in either "positive" or "negative" pattern learning. We conclude that small changes in ion channel conductances are sufficient to store patterns without an additional contribution by synaptic plasticity (SP). However, read-out of stored information depends on patterns of synaptic activity conducive to let intrinsic variability emerge as a spike frequency response. We discuss the implications of these observations on learning and addiction. | Source: | arXiv, q-bio.NC/0502023 | Services: | Forum | Review | PDF | Favorites |
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