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Bremen Computational Modelling Running lecture

Computational Neuroscience

This lecture we will introduce a spectrum of different methods for describing, analyzing and simulating fundamental processes in the brain. Topics include neurons and neuron models, interactions and collective phenomena, memory and memory capacity, synaptic plasticity, feedforward and recurrent networks, learning and adaptation, self-organization and map formation, as well as an introduction to machine learning.

Lecture, Math+Programming Exercises

Master

Maths: 3 semesters
Programming: basic
Neuroscience: basic
Programmin language: Matlab or Python

Institut für Theoretische Physik, University of Bremen

Ernst, Pawelzik et al.
Summer, weekly, 3h per week, fridays 2pm - 4pm, preliminary meeting on 05.04.2019 / 5 ECTS
Visit the course website