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INCF Short Course on Information Processing in Neural Systems
-- From Single Neurons to Large-Scale Models of Cognition --

May 2-10, 2015 @ Institute of Cognitive Science, Osnabrück, Germany
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One of the big challenges in neuroinformatics is bridging the gap
between our biophysical understanding of single cells and of networks
of neurons on the one side, and the cognitive functions that are
characterized in terms of information processing on the other
side. This INCF Short Course will provide lectures and hands-on
tutorials ranging from dynamical systems theory to cognitive modeling.

Target Audience:

PhD candidates and post-docs with backgrounds in neuroinformatics,
theoretical neuroscience, complex systems, machine learning, applied
mathematics/statistics or cognitive modeling.

Topics:

Dynamical systems: attractors, bifurcations, etc. (Herbert Jaeger)
Single neuron dynamics, networks, and computation (Nicolas Brunel)
Mean-field theory, neurodynamics, and decision-making (Gustavo Deco)
Reservoir computing in simple cognitive systems (Gordon Pipa)
Learning of sensory representations in neural systems (Peter König)
Distributed Adaptive Control (Paul Verschure)
Neural networks, kernel methods, and categorization (Frank Jäkel)
A tutorial on reservoir computing (Pipa & Jaeger)
A tutorial on large-scale simulations in Nengo (Terry Stewart)
A tutorial on information processing models with NEST (Marc-Oliver
Gewaltig)

The yearly, two-day OCCAM workshop (www.occam-os.de) is integrated
into the INCF course and participants of the INCF course will also
take part in the workshop.

Applications will be accepted until March 7, 2015. The registration
fee is 250 Euros. We can offer a limited number of travel stipends to
support students.

More information on the course and on application details can be found
on the course webpage: 

http://www.incf.ni.uos.de/
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