Sparse coding and challenges for Bayesian models of the brain
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Decoding Natural Behavior from Neuroethological Embedding
Published on: October 3, 2025
Thomas Trappenberg1, Paul Hollensen
1Faculty of Computer Science, Dalhousie University, Halifax, NS B3H 4R2, Canada. tt@cs.dal.ca
The Behavioral and Brain Sciences
|May 14, 2013
Abstract:
While the target article provides a glowing account for the excitement in the field, we stress that hierarchical predictive learning in the brain requires sparseness of the representation. We also question the relation between Bayesian cognitive processes and hierarchical generative models as discussed by the target article.
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