Cargando…
Theory of Neural Coding Predicts an Upper Bound on Estimates of Memory Variability
Observers reproducing elementary visual features from memory after a short delay produce errors consistent with the encoding-decoding properties of neural populations. While inspired by electrophysiological observations of sensory neurons in cortex, the population coding account of these errors is b...
Autores principales: | Taylor, Robert, Bays, Paul M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Psychological Association
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571317/ https://www.ncbi.nlm.nih.gov/pubmed/32191074 http://dx.doi.org/10.1037/rev0000189 |
Ejemplares similares
-
Efficient Coding in Visual Working Memory Accounts for Stimulus-Specific Variations in Recall
por: Taylor, Robert, et al.
Publicado: (2018) -
A neural model of retrospective attention in visual working memory
por: Bays, Paul M., et al.
Publicado: (2018) -
A signature of neural coding at human perceptual limits
por: Bays, Paul M.
Publicado: (2016) -
Nanoconnectomic upper bound on the variability of synaptic plasticity
por: Bartol, Thomas M, et al.
Publicado: (2015) -
Bounds for Coding Theory over Rings
por: Gassner, Niklas, et al.
Publicado: (2022)