Keyword search (3,448 papers available)


Learning to use past evidence in a sophisticated world model.

Author(s): Ahilan S, Solomon RB, Breton YA, Conover K, Niyogi RK, Shizgal P, Dayan P

PLoS Comput Biol. 2019 Jun 24;15(6):e1007093 Authors: Ahilan S, Solomon RB, Breton YA, Conover K, Niyogi RK, Shizgal P, Dayan P

Article GUID: 31233559
Interactions between the tumor and the blood systemic response of breast cancer patients.

Author(s): Dumeaux V, Fjukstad B, Fjosne HE, Frantzen JO, Holmen MM, Rodegerdts E, Schlichting E, Børresen-Dale AL, Bongo LA, Lund E, Hallett M

PLoS Comput Biol. 2017 Sep;13(9):e1005680 Authors: Dumeaux V, Fjukstad B, Fjosne HE, Frantzen JO, Holmen MM, Rodegerdts E, Schlichting E, Børresen-Dale AL, Bongo LA, Lund E, Hallett M

Article GUID: 28957325
Some work and some play: microscopic and macroscopic approaches to labor and leisure.

Author(s): Niyogi RK, Shizgal P, Dayan P

PLoS Comput Biol. 2014 Dec;10(12):e1003894 Authors: Niyogi RK, Shizgal P, Dayan P

Article GUID: 25474151
Title:Some work and some play: microscopic and macroscopic approaches to labor and leisure.
Authors:Niyogi RK,  Shizgal P,  Dayan P
Link:https://www.ncbi.nlm.nih.gov/pubmed/25474151?dopt=Abstract
Category:PLoS Comput Biol
PMID:25474151
Dept Affiliation: CSBN
1 Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom.
2 Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, Quebec, Canada.

Description:

Some work and some play: microscopic and macroscopic approaches to labor and leisure.

PLoS Comput Biol. 2014 Dec;10(12):e1003894

Authors: Niyogi RK, Shizgal P, Dayan P

Abstract

Given the option, humans and other animals elect to distribute their time between work and leisure, rather than choosing all of one and none of the other. Traditional accounts of partial allocation have characterised behavior on a macroscopic timescale, reporting and studying the mean times spent in work or leisure. However, averaging over the more microscopic processes that govern choices is known to pose tricky theoretical problems, and also eschews any possibility of direct contact with the neural computations involved. We develop a microscopic framework, formalized as a semi-Markov decision process with possibly stochastic choices, in which subjects approximately maximise their expected returns by making momentary commitments to one or other activity. We show macroscopic utilities that arise from microscopic ones, and demonstrate how facets such as imperfect substitutability can arise in a more straightforward microscopic manner.

PMID: 25474151 [PubMed - indexed for MEDLINE]