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Cottbus-Senftenberg Theoretical Neuroscience Running lecture

Einführung in Computational Neuroscience

The lecture demonstrates the methods for analysis and modelling of neurons, neuronal systems, and behavior. Keywords: Spiking neurons, resting membrane potential, ion channels, action potential, Hodgkin-Huxley model, phase plane analysis, leaky integrate-and-fire model, synaptic transmission, synaptic plasticity. Neural networks: perceptron, Hebb's learning rule, Hopfield networks. Analysis of spike trains (reverse correlation) and firing rate (regression and system identification). Optimal estimation: minimum variance, maximum likelihood, maximum a-posteriori, mechanisms of sensory fusion. Modelling of sensorimotor systems.

lecture and exercise, weekly

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Institut für Medizintechnologie, Brandenburgische Technische Universität Cottbus - Senftenberg

Glasauer
Summer, 2h + 2h per week /

lecture held in German, most slides in English