Cargando…

Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour

In the context of Pavlovian conditioning, two types of behaviour may emerge within the population (Flagel et al. Nature, 469(7328): 53–57, 2011). Animals may choose to engage either with the conditioned stimulus (CS), a behaviour known as sign-tracking (ST) which is sensitive to dopamine inhibition...

Descripción completa

Detalles Bibliográficos
Autores principales: Cinotti, François, Marchand, Alain R., Roesch, Matthew R., Girard, Benoît, Khamassi, Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695359/
https://www.ncbi.nlm.nih.gov/pubmed/31367850
http://dx.doi.org/10.1007/s00213-019-05323-y
_version_ 1783444021180366848
author Cinotti, François
Marchand, Alain R.
Roesch, Matthew R.
Girard, Benoît
Khamassi, Mehdi
author_facet Cinotti, François
Marchand, Alain R.
Roesch, Matthew R.
Girard, Benoît
Khamassi, Mehdi
author_sort Cinotti, François
collection PubMed
description In the context of Pavlovian conditioning, two types of behaviour may emerge within the population (Flagel et al. Nature, 469(7328): 53–57, 2011). Animals may choose to engage either with the conditioned stimulus (CS), a behaviour known as sign-tracking (ST) which is sensitive to dopamine inhibition for its acquisition, or with the food cup in which the reward or unconditioned stimulus (US) will eventually be delivered, a behaviour known as goal-tracking (GT) which is dependent on dopamine for its expression only. Previous work by Lesaint et al. (PLoS Comput Biol, 10(2), 2014) offered a computational explanation for these phenomena and led to the prediction that varying the duration of the inter-trial interval (ITI) would change the relative ST-GT proportion in the population as well as phasic dopamine responses. A recent study verified this prediction, but also found a rich variance of ST and GT behaviours within the trial which goes beyond the original computational model. In this paper, we provide a computational perspective on these novel results. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00213-019-05323-y) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6695359
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-66953592019-08-28 Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour Cinotti, François Marchand, Alain R. Roesch, Matthew R. Girard, Benoît Khamassi, Mehdi Psychopharmacology (Berl) Original Investigation In the context of Pavlovian conditioning, two types of behaviour may emerge within the population (Flagel et al. Nature, 469(7328): 53–57, 2011). Animals may choose to engage either with the conditioned stimulus (CS), a behaviour known as sign-tracking (ST) which is sensitive to dopamine inhibition for its acquisition, or with the food cup in which the reward or unconditioned stimulus (US) will eventually be delivered, a behaviour known as goal-tracking (GT) which is dependent on dopamine for its expression only. Previous work by Lesaint et al. (PLoS Comput Biol, 10(2), 2014) offered a computational explanation for these phenomena and led to the prediction that varying the duration of the inter-trial interval (ITI) would change the relative ST-GT proportion in the population as well as phasic dopamine responses. A recent study verified this prediction, but also found a rich variance of ST and GT behaviours within the trial which goes beyond the original computational model. In this paper, we provide a computational perspective on these novel results. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00213-019-05323-y) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-07-31 2019 /pmc/articles/PMC6695359/ /pubmed/31367850 http://dx.doi.org/10.1007/s00213-019-05323-y Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Investigation
Cinotti, François
Marchand, Alain R.
Roesch, Matthew R.
Girard, Benoît
Khamassi, Mehdi
Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour
title Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour
title_full Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour
title_fullStr Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour
title_full_unstemmed Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour
title_short Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour
title_sort impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695359/
https://www.ncbi.nlm.nih.gov/pubmed/31367850
http://dx.doi.org/10.1007/s00213-019-05323-y
work_keys_str_mv AT cinottifrancois impactsofintertrialintervaldurationonacomputationalmodelofsigntrackingvsgoaltrackingbehaviour
AT marchandalainr impactsofintertrialintervaldurationonacomputationalmodelofsigntrackingvsgoaltrackingbehaviour
AT roeschmatthewr impactsofintertrialintervaldurationonacomputationalmodelofsigntrackingvsgoaltrackingbehaviour
AT girardbenoit impactsofintertrialintervaldurationonacomputationalmodelofsigntrackingvsgoaltrackingbehaviour
AT khamassimehdi impactsofintertrialintervaldurationonacomputationalmodelofsigntrackingvsgoaltrackingbehaviour