Cargando…
A quantitative model reveals a frequency ordering of prediction and prediction-error signals in the human brain
The human brain is proposed to harbor a hierarchical predictive coding neuronal network underlying perception, cognition, and action. In support of this theory, feedforward signals for prediction error have been reported. However, the identification of feedback prediction signals has been elusive du...
Autores principales: | Chao, Zenas C., Huang, Yiyuan Teresa, Wu, Chien-Te |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550773/ https://www.ncbi.nlm.nih.gov/pubmed/36216885 http://dx.doi.org/10.1038/s42003-022-04049-6 |
Ejemplares similares
-
Predicting self-intercepted medication ordering errors using machine learning
por: King, Christopher Ryan, et al.
Publicado: (2021) -
Human Brain Ages With Hierarchy-Selective Attenuation of Prediction Errors
por: Hsu, Yi-Fang, et al.
Publicado: (2020) -
Short-term mindfulness practice attenuates reward prediction errors signals in the brain
por: Kirk, Ulrich, et al.
Publicado: (2019) -
Orbitofrontal neurons signal reward predictions, not reward prediction errors
por: Stalnaker, Thomas A., et al.
Publicado: (2018) -
Social learning through prediction error in the brain
por: Joiner, Jessica, et al.
Publicado: (2017)