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Munich Theoretical Neuroscience Running lecture

Computational Neuroscience

Introduction to modern theoretical neuroscience from mechanistic to
normative approaches.

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, attractor networks, analysis of spike trains, optimal estimation, minimum variance, maximum likelihood, maximum a-posteriori, mechanisms of sensory fusion, modeling of sensorimotor systems.

Lecture and Tutorial, weekly

Bachelor, Master

Maths: 1 semester
Programming language: Matlab

TUM, Munich

Macke et al.
Winter, 3h per week / 6 ECTS
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