[Comp-neuro] Program available for Workshop on Neural Information Dynamics, Causality and Computation near Criticality”, December 12-13th, 2014

Michael Wibral wibral at bic.uni-frankfurt.de
Tue Nov 25 18:43:13 CET 2014

Dear Computational Neuroscience Community,

the program for the "Workshop on Neural Information Dynamics, Causality
and Computation near Criticality" (below) is available from Thursday,
Nov. 26th at:


A few places are still left for both, workshop and course, and will be
given away first come, first serve (email to wibral at em.uni-frankfurt.de).

The program of the workshop now offers the opportunity to bring a Poster.

Best Regards,
Michael Wibral


LOEWE-NeFF and the Frankfurt Institute for Advanced Studies (FIAS)
jointly invite to the

“Workshop on Neural Information Dynamics, Causality and Computation near
December 12-13th, 2014

The workshop is preceded by a

“Software course on Neural Information Dynamics with TRENTOOL,
the Java Information Dynamics Toolkit and MuTE”
December 10-11th, 2014

Venue: Workshop and Software course will be held at the Frankfurt
Institute for Advanced Studies (FIAS, www.fias.uni-frankfurt.de),
Ruth-Moufang-Straße 1, 60438 Frankfurt, Germany

The workshop addresses methods and recent advances in the analysis of
computation in large neural systems, focusing on three tightly
interrelated topics:

Neural information dynamics
Information theoretic quantities separate and measure key elements of
distributed computation in neural systems, such as the storage,
transfer, and modification of information. These concepts can help to
better understand the computational algorithms implemented by the
dynamics of a neural system, and to provide the link between these
algorithms and their biophysical implementation.

The analysis of causal interactions yields important insights into the
biophysical substrate of neural dynamics that enable emergent
computation. It is one of the goals of the workshop to discuss the link
between causal analysis and the analyses of information processing
proper, in order to clarify the dividing line and the mutual benefit of
these two types of analyses.

Large scale organisation and criticality
Neural systems orchestrate the activity of an enormous number of
interacting neurons to achieve their computational capabilities. Recent
technological advances make it possible to record simultaneously from a
large number of neurons. Here we explore recent developments in
identifying large-scale organizing principles underlying computation in
extended neural system.

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