Keyword search (4,164 papers available)

"Reinforcement" Keyword-tagged Publications:

Title Authors PubMed ID
1 Disentangling prediction error and value in a formal test of dopamine s role in reinforcement learning Usypchuk AA; Maes EJP; Lozzi M; Avramidis DK; Schoenbaum G; Esber GR; Gardner MPH; Iordanova MD; 40738112
CSBN
2 Comprehensive review of reinforcement learning for medical ultrasound imaging Elmekki H; Islam S; Alagha A; Sami H; Spilkin A; Zakeri E; Zanuttini AM; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; 40567264
ENCS
3 Activating Group II Metabotropic Glutamate Receptors in the Basolateral Amygdala Inhibits Increases in Reward Seeking Triggered by Discriminative Stimuli in Rats LeCocq MR; Mainville-Berthiaume A; Laplante I; Samaha AN; 40341317
CSBN
4 Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R; 40336660
ENCS
5 Computational neuroscience across the lifespan: Promises and pitfalls van den Bos W; Bruckner R; Nassar MR; Mata R; Eppinger B; 29066078
PSYCHOLOGY
6 Relapse after intermittent access to cocaine: Discriminative cues more effectively trigger drug seeking than do conditioned cues Ndiaye NA; Shamleh SA; Casale D; Castaneda-Ouellet S; Laplante I; Robinson MJF; Samaha AN; 38767684
PSYCHOLOGY
7 Post-reinforcement pauses during slot machine gambling are moderated by immersion W Spencer Murch 38429228
PSYCHOLOGY
8 Does phasic dopamine release cause policy updates? Carter F; Cossette MP; Trujillo-Pisanty I; Pallikaras V; Breton YA; Conover K; Caplan J; Solis P; Voisard J; Yaksich A; Shizgal P; 38039083
PSYCHOLOGY
9 Nonlinear dynamic modeling and model-based AI-driven control of a magnetoactive soft continuum robot in a fluidic environment Moezi SA; Sedaghati R; Rakheja S; 37932207
ENCS
10 Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate Sartori I; Walnum HT; Skeie KS; Georges L; Knudsen MD; Bacher P; Candanedo J; Sigounis AM; Prakash AK; Pritoni M; Granderson J; Yang S; Wan MP; 37153123
ENCS
11 Reinforcement learning for automatic quadrilateral mesh generation: A soft actor-critic approach Pan J; Huang J; Cheng G; Zeng Y; 36375347
ENCS
12 Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection Rjoub G; Wahab OA; Bentahar J; Cohen R; Bataineh AS; 35875592
ENCS
13 Neural evidence for age-related deficits in the representation of state spaces Ruel A; Bolenz F; Li SC; Fischer A; Eppinger B; 35510942
PERFORM
14 Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec. Khalilpourazari S, Hashemi Doulabi H 33424076
ENCS
15 Cue-Evoked Dopamine Neuron Activity Helps Maintain but Does Not Encode Expected Value. Mendoza JA, Lafferty CK, Yang AK, Britt JP 31693885
CSBN
16 Metacontrol of decision-making strategies in human aging. Bolenz F, Kool W, Reiter AM, Eppinger B 31397670
PERFORM
17 Effects of contingent and noncontingent nicotine on lever pressing for liquids and consumption in water-deprived rats. Frenk H, Martin J, Vitouchanskaia C, Dar R, Shalev U 27889434
CSBN
18 Developmental Changes in Learning: Computational Mechanisms and Social Influences. Bolenz F, Reiter AMF, Eppinger B 29250006
PERFORM

 

Title:Metacontrol of decision-making strategies in human aging.
Authors:Bolenz F,  Kool W,  Reiter AM,  Eppinger B
Link:https://www.ncbi.nlm.nih.gov/pubmed/31397670?dopt=Abstract
DOI:10.7554/eLife.49154
Publication:eLife
Keywords:decision making;  human;  lifespan development;  model-based;  model-free;  neuroscience;  reinforcement learning;  reward; 
PMID:31397670 Category:Elife Date Added:2019-09-23
Dept Affiliation: PERFORM
1 Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.
2 Department of Psychology, Harvard University, Cambridge, United States.
3 Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, United States.
4 Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom.
5 Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom.
6 Department of Psychology, Concordia University, Montreal, Canada.
7 PERFORM centre, Concordia University, Montreal, Canada.

Description:

Metacontrol of decision-making strategies in human aging.

Elife. 2019 Aug 09;8:

Authors: Bolenz F, Kool W, Reiter AM, Eppinger B

Abstract

Humans employ different strategies when making decisions. Previous research has reported reduced reliance on model-based strategies with aging, but it remains unclear whether this is due to cognitive or motivational factors. Moreover, it is not clear how aging affects the metacontrol of decision making, that is the dynamic adaptation of decision-making strategies to varying situational demands. In this cross-sectional study, we tested younger and older adults in a sequential decision-making task that dissociates model-free and model-based strategies. In contrast to previous research, model-based strategies led to higher payoffs. Moreover, we manipulated the costs and benefits of model-based strategies by varying reward magnitude and the stability of the task structure. Compared to younger adults, older adults showed reduced model-based decision making and less adaptation of decision-making strategies. Our findings suggest that aging affects the metacontrol of decision-making strategies and that reduced model-based strategies in older adults are due to limited cognitive abilities.

PMID: 31397670 [PubMed - in process]




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