Network Topology influences Synchronization and Intrinsic Read-out
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What are the effects of neuromodulation on a large network model? Neuromodulation influences neural processing by presynaptic and postsynaptic regulation of synaptic efficacy and by ion channel regulation for dendritic excitability. We present a model, where regulation of synaptic efficacy changes the overall connectivity, or topology, of the network, and regulation of dendritic ion channels sets intrinsic excitability, or the gain of the neuron. We show that network topology influences synchronization, i. e. the correlations of spiking activity generated in the network and synchronization influences the read-out of intrinsic properties. Highly synchronous input drives neurons, such that differences in intrinsic properties disappear, while asynchronous input lets intrinsic properties determine output behavior. We conclude that neuromodulation may allow a network to alternate between a synchronized transmission mode and an asynchronous intrinsic read-out mode.
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