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.
Type
Publication
Doc2AMU Doctoral Day - 2018-11-23
- see a follow-up in:
- more about the role of top-down connections:(2020). Effect of top-down connections in Hierarchical Sparse Coding. Neural Computation.
Laurent U Perrinet
Researcher in Computational Neuroscience
My research interests include Machine Learning and computational neuroscience applied to Vision.