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Signal integration on the dendrites of a pyramidal neuron model
Authors:Li Xiumin
Institution:1. School of Automation, Chongqing University, Chongqing, 400044, China
Abstract:This paper studied the synaptic and dendritic integration with different spatial distributions of synapses on the dendrites of a biophysically-detailed layer 5 pyramidal neuron model. It has been observed that temporally synchronous and spatially clustered synaptic inputs make dendrites perform a highly nonlinear integration. The effect of clustering degree of synaptic distribution on neuronal responsiveness is investigated by changing the number of top apical dendrites where active synapses are allocated. The neuron shows maximum responsiveness to synaptic inputs which have an intermediate clustering degree of spatial distribution, indicating complex interactions among dendrites with the existence of nonlinear synaptic and dendritic integrations.
Keywords:Integration  Nonlinear  Cluster  Synchronous  Dendrites
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