We are pleased to announce the   Workshop on Methods of Information Theory in Computational Neuroscience , at   CNS*2017 , Antwerp, Belgium.
The workshop will be held over the final two days of the main conference, July 19 and 20.

Aims and topics

Methods originally developed in Information Theory have found wide applicability in computational neuroscience. Beyond these original methods there is a need to develop novel tools and approaches that are driven by problems arising in neuroscience.

A number of researchers in computational/systems neuroscience and in information/communication theory are investigating problems of information representation and processing. While the goals are often the same, these researchers bring different perspectives and points of view to a common set of neuroscience problems. Often they participate in different fora and their interaction is limited.

The goal of the workshop is to bring some of these researchers together to discuss challenges posed by neuroscience and to exchange ideas and present their latest work.

The workshop is targeted towards computational and systems neuroscientists with interest in methods of information theory as well as information/communication theorists with interest in neuroscience.

Invited speakers

• Selin Aviyente, Michigan State University -- " Directed Information: Application to EEG during cognitive control "
• Lionel Barnett, University of Sussex -- " Information Transfer in Continuous and Discrete Time "
• Karl Friston, University College London -- " Active inference and artificial curiosity "
• Renaud Jolivet, University of Geneva -- " Energy-efficient information transfer at synapses "
• Lubomir Kostal, Academy of Sciences of the Czech Republic -- " Reference frame independence as a constraint on the mutual information decomposition "
• Joseph T. Lizier, The University of Sydney -- " Estimating information transfer between spike trains "
• Daniele Marinazzo, University of Ghent -- " Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI "
• Jil Meier, Delft University of Technology -- " The epidemic spreading model and the direction of information flow in brain networks "
• Viola Priesemann, Max Planck Institute for Dynamics and Self-organization, Goettingen --   TBA
• Adrià Tauste, Universitat Pompeu Fabra --   TBA
• Tatjana Tchumatchenko, Max Planck Institute for Brain Research, Frankfurt --   TBA
• Taro Toyoizumi, RIKEN Brain Science Institute -- " A Local Learning Rule for Independent Component Analysis "
• Raul Vicente, University of Tartu --   TBA

Call for contributions

We would like to   call for contributions of talks   (25 min + 5 min Q&A). If you are interested in contributing such a talk, please send a title and abstract to Joseph Lizier ( [email protected] ) by Friday June 2, 2017.

Please see our website   http://bit.ly/cns2017itw   for more details.

We hope you will join us there!

Organising Committee:
Joseph Lizier
Viola Priesemann
Justin Dauwels
Taro Toyoizumi
Alexander Dimitrov
Lubomir Kostal  
Michael Wibral