Sparse-Coding Variational Autoencoders

The sparse coding model posits that the visual system has evolved to efficiently code natural stimuli using a sparse set of features from an overcomplete dictionary. The original sparse coding model suffered from two key limitations; however: (1) computing the neural response to an image patch requi...

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Veröffentlicht in:	Neural computation 2024-11, Vol.36 (12), p.2571-2601
Hauptverfasser:	Geadah, Victor, Barello, Gabriel, Greenidge, Daniel, Charles, Adam S, Pillow, Jonathan W
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Artificial neural networks Coding Humans Lower bounds Models, Neurological Neural Networks, Computer Neurons - physiology Nonlinear dynamics Nonlinear response Visual stimuli
Online-Zugang:	Volltext
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