Evidence map›Paper›PMID 26257616›Full record

ArticleFrontiers in behavioral neuroscience2015

The influence of trial order on learning from reward vs. punishment in a probabilistic categorization task: experimental and computational analyses.

Ahmed A Moustafa, Mark A Gluck, Mohammad M Herzallah, Catherine E Myers

Abstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ahmed A MoustafaSchool of Social Sciences and Psychology and Marcs Institute for Brain and Behaviour, University of Western Sydney Sydney, NSW, Australia ; Department of Veterans Affairs, New Jersey Health Care System East Orange, NJ, USA.
Mark A GluckCenter for Molecular and Behavioral Neuroscience, Rutgers University Newark, NJ, USA.
Mohammad M HerzallahCenter for Molecular and Behavioral Neuroscience, Rutgers University Newark, NJ, USA ; Al-Quds Cognitive Neuroscience Lab, Palestinian Neuroscience Initiative, Faculty of Medicine, Al-Quds University Jerusalem, Palestine.
Catherine E MyersDepartment of Veterans Affairs, New Jersey Health Care System East Orange, NJ, USA ; Department of Pharmacology, Physiology and Neuroscience, Rutgers-New Jersey Medical School Newark, NJ, USA ; Department of Psychology, Rutgers University-Newark Newark, NJ, USA.

Funding

CRNS: Model of hippocampal-amygdala interaction: Implications for PTSDR01AA018737 · NIAAA · VETERANS BIOMEDICAL RESEARCH INSTITUTE · PI MYERS, CATHERINE E · 2009 to 2012
$747k
NIAAA NIH HHS R01 AA018737
6 · The paper itself

Abstract

Previous research has shown that trial ordering affects cognitive performance, but this has not been tested using category-learning tasks that differentiate learning from reward and punishment. Here, we tested two groups of healthy young adults using a probabilistic category learning task of reward and punishment in which there are two types of trials (reward, punishment) and three possible outcomes: (1) positive feedback for correct responses in reward trials; (2) negative feedback for incorrect responses in punishment trials; and (3) no feedback for incorrect answers in reward trials and correct answers in punishment trials. Hence, trials without feedback are ambiguous, and may represent either successful avoidance of punishment or failure to obtain reward. In Experiment 1, the first group of subjects received an intermixed task in which reward and punishment trials were presented in the same block, as a standard baseline task. In Experiment 2, a second group completed the separated task, in which reward and punishment trials were presented in separate blocks. Additionally, in order to understand the mechanisms underlying performance in the experimental conditions, we fit individual data using a Q-learning model. Results from Experiment 1 show that subjects who completed the intermixed task paradoxically valued the no-feedback outcome as a reinforcer when it occurred on reinforcement-based trials, and as a punisher when it occurred on punishment-based trials. This is supported by patterns of empirical responding, where subjects showed more win-stay behavior following an explicit reward than following an omission of punishment, and more lose-shift behavior following an explicit punisher than following an omission of reward. In Experiment 2, results showed similar performance whether subjects received reward-based or punishment-based trials first. However, when the Q-learning model was applied to these data, there were differences between subjects in the reward-first and punishment-first conditions on the relative weighting of neutral feedback. Specifically, early training on reward-based trials led to omission of reward being treated as similar to punishment, but prior training on punishment-based trials led to omission of reward being treated more neutrally. This suggests that early training on one type of trials, specifically reward-based trials, can create a bias in how neutral feedback is processed, relative to those receiving early punishment-based training or training that mixes positive and negative outcomes.

Indexed as

category learningintermixed trialspunishmentQ-learning computational modelreward

Identifiers

PMID26257616
PMCPMC4513240

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.