New Research Results in
Probabilistic Inference, with applications in Computer Science,
Robotics, and Cognitive Science. In addition a few new
research results from neuroscience are discussed that are
relevant for our research.
Talks:
27.10.2011
Elmar R�ckert:
"On motor planning",
Slides
Friedmann Zenke: Research
Results and Open Problems
01.12.2011
Stefan Habenschuss: "Synaptic sampling
in neural networks:
a
bio-inspired full-Bayesian MCMC approach",
Slides
Robert Legenstein:
15.12.2011
Johannes Bill:
"Probalistic inference and autonomous learning
in cortical populations of spiking
neurons",
Slides
19.01.2012 David Kappel :
"On
Bayesian Nonparametric Models", Slides Stefan Habenschuss:
"Non-parametric Bayesian modeling - Part II",
Slides