[Comp-neuro] Information theory workshop at CNS*2018 -- call for contributed talks
joseph.lizier at sydney.edu.au
Wed May 16 02:54:11 CEST 2018
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
* Braden Brinkman, Stony Brook University -- "Signal-to-noise
ratio competes with neural bandwidth to shape efficient coding
* 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
* 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
* 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
* Patricia Wollstadt, Goethe University, Frankfurt / Honda
Research Institute Europe "Validation and performance of
effective network inference using multivariate transfer entropy
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 at 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!
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