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 ( [email protected] ) 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