Information theory workshop at CNS*2018 -- call for contributed talks

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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.

Dear all,

We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience will be held once again at CNS*2018, 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 http://bit.ly/cns2018itw 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