Cargando…
Feature-based learning improves adaptability without compromising precision
Learning from reward feedback is essential for survival but can become extremely challenging with myriad choice options. Here, we propose that learning reward values of individual features can provide a heuristic for estimating reward values of choice options in dynamic, multi-dimensional environmen...
Autores principales: | Farashahi, Shiva, Rowe, Katherine, Aslami, Zohra, Lee, Daeyeol, Soltani, Alireza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700946/ https://www.ncbi.nlm.nih.gov/pubmed/29170381 http://dx.doi.org/10.1038/s41467-017-01874-w |
Ejemplares similares
-
Influence of learning strategy on response time during complex value-based learning and choice
por: Farashahi, Shiva, et al.
Publicado: (2018) -
Flexible combination of reward information during choice under uncertainty
por: Farashahi, Shiva, et al.
Publicado: (2019) -
Computational mechanisms of distributed value representations and mixed learning strategies
por: Farashahi, Shiva, et al.
Publicado: (2021) -
Neural substrates of cognitive biases during probabilistic inference
por: Soltani, Alireza, et al.
Publicado: (2016) -
Dynamic combination of sensory and reward information under time pressure
por: Farashahi, Shiva, et al.
Publicado: (2018)