PERFORM Publications

Keyword search (4,164 papers available)

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:	Cue-Evoked Dopamine Neuron Activity Helps Maintain but Does Not Encode Expected Value.
Authors:	Mendoza JA, Lafferty CK, Yang AK, Britt JP
Link:	https://www.ncbi.nlm.nih.gov/pubmed/31693885?dopt=Abstract
DOI:	10.1016/j.celrep.2019.09.077
Publication:	Cell reports
Keywords:	calcium imaging; dopamine; expected value; motivation; optogenetics; overexpectation; reinforcement learning; reward prediction error; ventral tegmental area;
PMID:	31693885	Category:	Cell Rep	Date Added:	2019-11-07
Dept Affiliation:	CSBN 1 Department of Psychology, McGill University, Montreal, QC H3A 1B1, Canada; Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC H4B 1R6, Canada. 2 Integrated Program in Neuroscience, McGill University, Montreal, QC H3A 2B4, Canada; Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC H4B 1R6, Canada. 3 Department of Psychology, McGill University, Montreal, QC H3A 1B1, Canada; Integrated Program in Neuroscience, McGill University, Montreal, QC H3A 2B4, Canada; Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC H4B 1R6, Canada. Electronic address: jonathan.britt@mcgill.ca.

Description:

Cue-Evoked Dopamine Neuron Activity Helps Maintain but Does Not Encode Expected Value.

Cell Rep. 2019 Nov 05;29(6):1429-1437.e3

Authors: Mendoza JA, Lafferty CK, Yang AK, Britt JP

Abstract

Cue-evoked midbrain dopamine (DA) neuron activity reflects expected value, but its influence on reward assessment is unclear. In mice performing a trial-based operant task, we test if bidirectional manipulations of cue or operant-associated DA neuron activity drive learning as a result of under- or overexpectation of reward value. We target optogenetic manipulations to different components of forced trials, when only one lever is presented, and assess lever biases on choice trials in the absence of photomanipulation. Although lever biases are demonstrated to be flexible and sensitive to changes in expected value, augmentation of cue or operant-associated DA signaling does not significantly alter choice behavior, and blunting DA signaling during any component of the forced trials reduces choice trial responses on the associated lever. These data suggest cue-evoked DA helps maintain cue-value associations but does not encode expected value as to set the benchmark against which received reward is judged.

PMID: 31693885 [PubMed - in process]

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