Cargando…
Beyond ℓ(1) sparse coding in V1
Growing evidence indicates that only a sparse subset from a pool of sensory neurons is active for the encoding of visual stimuli at any instant in time. Traditionally, to replicate such biological sparsity, generative models have been using the ℓ(1) norm as a penalty due to its convexity, which make...
Autores principales: | Rentzeperis, Ilias, Calatroni, Luca, Perrinet, Laurent U., Prandi, Dario |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516432/ https://www.ncbi.nlm.nih.gov/pubmed/37699052 http://dx.doi.org/10.1371/journal.pcbi.1011459 |
Ejemplares similares
-
On efficient sparse spike coding schemes for learning natural scenes in the primary visual cortex
por: Perrinet, Laurent
Publicado: (2007) -
Sparse deep predictive coding captures contour integration capabilities of the early visual system
por: Boutin, Victor, et al.
Publicado: (2021) -
Pooling strategies in V1 can account for the functional and structural diversity across species
por: Boutin, Victor, et al.
Publicado: (2022) -
Sparse Coding Models Can Exhibit Decreasing Sparseness while Learning Sparse Codes for Natural Images
por: Zylberberg, Joel, et al.
Publicado: (2013) -
A Cortical-Inspired Sub-Riemannian Model for Poggendorff-Type Visual Illusions
por: Baspinar, Emre, et al.
Publicado: (2021)