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"
• Alex 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 (joseph.lizier@sydney.edu.au) 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