Lecture notes:
Lecture 1:
(
04.03.2015)
Why should computer scientists become interested in how the brain works?
Lecture 2:
(
11.03.2015)
Quantitative models for Neurons
Lecture 3:
(
25.03.2015)
Molecular processes that determine the dynamics of neurons and synapses
Lecture 4:
(
22.04.2015)
Synaptic plasticity
Lecture 5:
(29.04
.
2015)
Brain structure and models for computation in the Neocortex
Lecture 6:
(06.05
.
2015)
Liquid Computing Model
Lecture 7:
(13.05
.
2015)
Introduction to Calcium Imaging and Applications
Lecture 8:
(20.05
.
2015)
Self-Organization of Networks of Spiking Neurons through STDP
Lecture 9:
(
17.06.2015
)
Experimental methods for visualizing brain activity
Lecture 10:
(17.06.2015)
Probabilistic Inference in Networks of Spiking Neurons through their inherent stochastic Dynamics ("Neural Sampling")