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Data
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Modeling the effects of dopamine on network synchronization (Komek et al. 2012)
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Dopamine modulates cortical circuit activity in part through its actions on GABAergic interneurons, including increasing the excitability of fast-spiking interneurons. Though such effects have been demonstrated in single cells, there are no studies that examine how such mechanisms may lead to the effects of dopamine at a neural network level. In this study, we investigated the effects of dopamine on synchronization in two simulated neural networks; one biophysical model composed of Wang-Buzsaki neurons and a reduced model with theta neurons. In both models, we show that parametrically varying the levels of dopamine, modeled through the changes in the excitability of interneurons, reveals an inverted-U shaped relationship, with low gamma band power at both low and high dopamine levels and optimal synchronization at intermediate levels. Moreover, such a relationship holds when the external input is both tonic and periodic at gamma band range. Together, our results indicate that dopamine can modulate cortical gamma band synchrony in an inverted-U fashion and that the physiologic effects of dopamine on single fast-spiking interneurons can give rise to such non-monotonic effects at the network level.
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Kömek K, Bard Ermentrout G, Walker CP, Cho RY (2012) Show
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Ermentrout, Bard [bard_at_pitt.edu] Show
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Komek, Kubra [kkomek at andrew.cmu.edu] Show
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kkomek@andrew.cmu.edu
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Wang-Buzsaki neuron & theta neuron
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Komek, Kubra <kkomek@andrew.cmu.edu>
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