Unsupervised Hierarchical Sparse Coding algorithm inspired by Biological Vision

Abstract

The brain has to solve inverse problems to correctly interpret sensory data and infer the set of causes that generated the sensory inputs. Such a problem is typically ill-posed, and thus requires constraint the narrow down the number of solutions. Predictive coding (PC)is a computational neuroscience framework that finds the most likely causes for the sensory input by minimizing the mismatch between the sensory data and the predicted input. Such a framework could be used to build sparse hierarchical internal representations of a given input.

Publication
Doc2AMU Doctoral Day - 2018-11-23
Victor Boutin
Victor Boutin
Phd in Computational Neuroscience

During my PhD, I focused on predictive coding in bio-inspired neural networks.

Angelo Franciosini
Angelo Franciosini
Phd candidate in Computational Neuroscience

During my PhD, I am focusing on predictive coding in a bio-inspired neural network.

Laurent U Perrinet
Laurent U Perrinet
Researcher in Computational Neuroscience

My research interests include Machine Learning and computational neuroscience applied to Vision.

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