Sparse coding and challenges for Bayesian models of the brain
- PMID: 23663363
- DOI: 10.1017/S0140525X12002300
Sparse coding and challenges for Bayesian models of the brain
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.
Comment in
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Are we predictive engines? Perils, prospects, and the puzzle of the porous perceiver.Behav Brain Sci. 2013 Jun;36(3):233-53. doi: 10.1017/s0140525x12002440. Behav Brain Sci. 2013. PMID: 23814868
Comment on
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Whatever next? Predictive brains, situated agents, and the future of cognitive science.Behav Brain Sci. 2013 Jun;36(3):181-204. doi: 10.1017/S0140525X12000477. Epub 2013 May 10. Behav Brain Sci. 2013. PMID: 23663408 Review.
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