Cargando…
Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception
The ventral visual processing hierarchy of the cortex needs to fulfill at least two key functions: perceived objects must be mapped to high-level representations invariantly of the precise viewing conditions, and a generative model must be learned that allows, for instance, to fill in occluded infor...
Autores principales: | Brucklacher, Matthias, Bohté, Sander M., Mejias, Jorge F., Pennartz, Cyriel M. A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561268/ https://www.ncbi.nlm.nih.gov/pubmed/37818157 http://dx.doi.org/10.3389/fncom.2023.1207361 |
Ejemplares similares
-
Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy
por: Dora, Shirin, et al.
Publicado: (2021) -
Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding
por: Pearson, Martin J., et al.
Publicado: (2021) -
Conditioning sharpens the spatial representation of rewarded stimuli in mouse primary visual cortex
por: Goltstein, Pieter M, et al.
Publicado: (2018) -
How ‘visual’ is the visual cortex? The interactions between the visual cortex and other sensory, motivational and motor systems as enabling factors for visual perception
por: Pennartz, Cyriel M. A., et al.
Publicado: (2023) -
Visual Perception and the Emergence of Minimal Representation
por: Arnellos, Argyris, et al.
Publicado: (2021)