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Select and Sample - A Model of Efficient Neural Inference and Learning
We demonstrate the effectiveness and efficiency of this approach on a sparse coding model.
No evidence for active sparsification in the visual cortex
The proposal that cortical activity in the visual cortex is optimized for sparse neural activity is one of the most established ideas in computational neuroscience.
Characterizing neural dependencies with copula models
The coding of information by neural populations depends critically on the statistical dependencies between neuronal responses.
On Sparsity and Overcompleteness in Image Models
Computational models of visual cortex, and in particular those based on sparse coding, have enjoyed much recent attention.
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