Partial information decomposition as a unified approach to the characterization and design of neural goal functions

BMC Neuroscience

Poster Presentation

Viola Priesemann¹  Michael Wibral²  Joseph T Lizier³  William A Phillips⁴ 

[1] Department of Nonlinear Dynamics, Max Planck Institute for Dynamics and Self-Organization, 37077, Göttingen, Germany;Bernstein Center for Computational Neuroscience, 37077, Göttingen, Germany;MEG Unit, Brain Imaging Center, Goethe University, 60528, Frankfurt, Germany;Ernst Strüngmann Institute for Neuroscience, 60528, Frankfurt, Germany;School of Civil Engineering, The University of Sydney, 2006, Sydney, NSW, Australia;School of Natural Sciences, University of Stirling, FK9 4LA, Stirling, UK;

关键词: Artificial Neural Network;    Executive Function;    Mutual Information;    Free Energy;    Motor Control;   

DOI  :  10.1186/1471-2202-16-S1-P199

来源: Springer

【 授权许可】

CC BY   
© Wibral et al. 2015