Presentations and slides from the 5th CiNet Conf. partially available


(sound not picked in the first few minutes in some of the presentations)

Shun-ichi Amari, RIKEN
“Statistical Neurodynamics of Deep Networks: Signal Propagation and Fisher Information”

David Cox, MIT-IBM Watson AI Lab/Harvard University
“Predictive Coding Models of Perception”

Aapo Hyvärinen, University College London/University of Helsinki
“Nonlinear independent component analysis: A principled framework for unsupervised learning”

Odelia Schwartz, University of Miami
“Image statistics and cortical visual processing: V1, V2, and deep learning”

Taro Toyoizumi, RIKEN 
“An Optimization Approach to Understand Biological Search”

Kai Wang, NEC Corporation
“Experimental Platform for brain function model design”


Ana Luísa Pinho, Inria, CEA, Paris-Saclay University
“Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping of the human brain”

 Iris Groen, New York University
Mind the gap: comparing multiple models of scene representation in brain and behavior”