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Data
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Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
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This code implements a composite model of Parkinson's disease (PD). The
composite model consists of a leaky integrate-and-fire spiking neuronal
network model being driven by output from a neural field model (instead
of the more usual white noise drive). Three different sets of parameters
were used for the field model: one with basal ganglia parameters based
on data from healthy individuals, one based on data from individuals
with PD, and one purely thalamocortical model. The aim of this model is
to explore how the different dynamical patterns in each each of these
field models affects the activity in the network model.
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Neocortex M1 L2/6 pyramidal intratelencephalic GLU cell Show
Other
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Neocortex M1 L5B pyramidal pyramidal tract GLU cell Show
Other
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Neocortex fast spiking (FS) interneuron Show
Other
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Neocortex spiking low threshold (LTS) neuron Show
Other
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Kerr CC, Van Albada SJ, Neymotin SA, Chadderdon GL, Robinson PA, Lytton WW (2013) Show
Other
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Kerr, Cliff [cliffk at neurosim.downstate.edu] Show
Other
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cliffk@neurosim.downstate.edu
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