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Information theory workshop at CNS*2018 -- call for contributed talks
Announcement of, and call for contributions to, the Workshop on Methods of Information Theory in Computational Neuroscience at CNS*2018, Seattle, USA, July 17-18, 2018.
May 16, 2018

Dear all,

We are pleased to announce that the will be held once again at , Seattle, USA.
The workshop will be held over the final two days of the main conference, July 17 and 18.

Our confirmed invited speakers include the following (schedule available soon):

  • Braden Brinkman, Stony Brook University -- " Signal-to-noise ratio competes with neural bandwidth to shape efficient coding strategies "
  • Mireille Conrad, University of Geneva -- " Mutual information vs. transfer entropy in spike-based neuroscience "
  • Benjamin Cramer, University of Heidelberg -- " Information theory reveals a diverse range of states induced by spike timing based learning in neural networks "
  • Alexander Dimitrov, Washington State University Vancouver -- " Modeling of perceptual invariances in biological sensory processing "
  • Eva Dyer, Georgia Tech -- " Finding low-dimensional structure in large-scale neural recordings "
  • Justin Gardner, Stanford University -- " Optimality and heuristics for human perceptual inference "
  • Jim Kay, University of Glasgow -- " Partial Information Decompositions based on Dependency Constraints "
  • Joseph T. Lizier, The University of Sydney -- " Pointwise Partial Information Decomposition Using the Specificity and Ambiguity Lattices "
  • Leonardo Novelli, The University of Sydney -- " Validation and performance of effective network inference using multivariate transfer entropy with IDTxl "
  • Tatyana Sharpee, Salk Institute for Biological Studies -- TBA
  • Nicholas M. Timme, Indiana University - Purdue University Indianapolis -- " From neural cultures to rodent models of disease: examples of information theory analyses of effective connectivity, computation, and encoding "
  • Taro Toyoizumi, RIKEN Brain Science Institute -- " Emergence of Levy Walks from Second-Order Stochastic Optimization "
  • Siwei Wang, Hebrew University of Jerusalem -- " Closing the gap from structure to function with information theoretic design principles "
  • Patricia Wollstadt, Goethe University, Frankfurt / Honda Research Institute Europe " Validation and performance of effective network inference using multivariate transfer entropy with IDTxl "


Also, 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 ( ) by Friday June 8, 2018.

Please see our website 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