Introduction to Computational Neuroscience Winter 2024

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In addition to the brief outline below, a detailed list of topics is available here Single compartment neurons – passive properties The behavior and modeling of ion channels The Hodgkin-Huxley action potential The diversity of voltage gated ion channels, and effects upon neuron spiking The cable equation Compartmental models of neurons; the NEURON simulation environment Models of synapses, including facilitation and depression The cable theory of dendritic spines Reduction of the Hodgkin-Huxley model to an integrate and fire neuron Implementing integrate and fire neuron models Coupled integrate and fire neuron models – mutual excitation and inhibition The autapse – a simple recurrent memory Firing rate models The Hopfield associative memory Network models (synchronization, rhythms) Hebbian learning Long term potentiation Plasticity models