Cargando…
Signal neutrality, scalar property, and collapsing boundaries as consequences of a learned multi-timescale strategy
We postulate that three fundamental elements underlie a decision making process: perception of time passing, information processing in multiple timescales and reward maximisation. We build a simple reinforcement learning agent upon these principles that we train on a random dot-like task. Our result...
Autores principales: | Manneschi, Luca, Gigante, Guido, Vasilaki, Eleni, Del Giudice, Paolo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462745/ https://www.ncbi.nlm.nih.gov/pubmed/35930590 http://dx.doi.org/10.1371/journal.pcbi.1009393 |
Ejemplares similares
-
Density-based clustering: A ‘landscape view’ of multi-channel neural data for inference and dynamic complexity analysis
por: Baglietto, Gabriel, et al.
Publicado: (2017) -
Timescales of methane seepage on the Norwegian margin following collapse of the Scandinavian Ice Sheet
por: Crémière, Antoine, et al.
Publicado: (2016) -
Critical behavior near the singularity in a scalar field collapse
por: Oshiro, Y, et al.
Publicado: (1996) -
Methods and applications of singular perturbations: boundary layers and multiple timescale dynamics
por: Verhulst, Ferdinand
Publicado: (2005) -
Methods and applications of singular perturbations: boundary layers and multiple timescale dynamics
por: Verhulst, Ferdinand
Publicado: (2010)