Cargando…
The Representation of Prediction Error in Auditory Cortex
To survive, organisms must extract information from the past that is relevant for their future. How this process is expressed at the neural level remains unclear. We address this problem by developing a novel approach from first principles. We show here how to generate low-complexity representations...
Autores principales: | Rubin, Jonathan, Ulanovsky, Nachum, Nelken, Israel, Tishby, Naftali |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4973877/ https://www.ncbi.nlm.nih.gov/pubmed/27490251 http://dx.doi.org/10.1371/journal.pcbi.1005058 |
Ejemplares similares
-
A simple model of the attentional blink and its modulation by mental training
por: Amir, Nadav, et al.
Publicado: (2022) -
Neurons and Objects: The Case of Auditory Cortex
por: Nelken, Israel, et al.
Publicado: (2008) -
Value-complexity tradeoff explains mouse navigational learning
por: Amir, Nadav, et al.
Publicado: (2020) -
Deviance sensitivity in the auditory cortex of freely moving rats
por: Polterovich, Ana, et al.
Publicado: (2018) -
Stimulus-Specific Adaptation and Deviance Detection in the Rat Auditory Cortex
por: Taaseh, Nevo, et al.
Publicado: (2011)