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Tracking Changing Environments: Innovators Are Fast, but Not Flexible Learners

Behavioural innovations are increasingly thought to provide a rich source of phenotypic plasticity and evolutionary change. Innovation propensity shows substantial variation across avian taxa and provides an adaptive mechanism by which behaviour is flexibly adjusted to changing environmental conditi...

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Detalles Bibliográficos
Autores principales: Griffin, Andrea S., Guez, David, Lermite, Françoise, Patience, Madeleine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877343/
https://www.ncbi.nlm.nih.gov/pubmed/24391981
http://dx.doi.org/10.1371/journal.pone.0084907
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author Griffin, Andrea S.
Guez, David
Lermite, Françoise
Patience, Madeleine
author_facet Griffin, Andrea S.
Guez, David
Lermite, Françoise
Patience, Madeleine
author_sort Griffin, Andrea S.
collection PubMed
description Behavioural innovations are increasingly thought to provide a rich source of phenotypic plasticity and evolutionary change. Innovation propensity shows substantial variation across avian taxa and provides an adaptive mechanism by which behaviour is flexibly adjusted to changing environmental conditions. Here, we tested for the first time the prediction that inter-individual variation in innovation propensity is equally a measure of behavioural flexibility. We used Indian mynas, Sturnus tristis, a highly successful worldwide invader. Results revealed that mynas that solved an extractive foraging task more quickly learnt to discriminate between a cue that predicted food, and one that did not more quickly. However, fast innovators were slower to change their behaviour when the significance of the food cues changed. This unexpected finding appears at odds with the well-established view that avian taxa with larger brains relative to their body size, and therefore greater neural processing power, are both faster, and more flexible learners. We speculate that the existence of this relationship across taxa can be reconciled with its absence within species by assuming that fast, innovative learners and non innovative, slow, flexible learners constitute two separate individual strategies, which are both underpinned by enhanced neural processing power. This idea is consistent with the recent proposal that individuals may differ consistently in ‘cognitive style’, differentially trading off speed against accuracy in cognitive tasks.
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spelling pubmed-38773432014-01-03 Tracking Changing Environments: Innovators Are Fast, but Not Flexible Learners Griffin, Andrea S. Guez, David Lermite, Françoise Patience, Madeleine PLoS One Research Article Behavioural innovations are increasingly thought to provide a rich source of phenotypic plasticity and evolutionary change. Innovation propensity shows substantial variation across avian taxa and provides an adaptive mechanism by which behaviour is flexibly adjusted to changing environmental conditions. Here, we tested for the first time the prediction that inter-individual variation in innovation propensity is equally a measure of behavioural flexibility. We used Indian mynas, Sturnus tristis, a highly successful worldwide invader. Results revealed that mynas that solved an extractive foraging task more quickly learnt to discriminate between a cue that predicted food, and one that did not more quickly. However, fast innovators were slower to change their behaviour when the significance of the food cues changed. This unexpected finding appears at odds with the well-established view that avian taxa with larger brains relative to their body size, and therefore greater neural processing power, are both faster, and more flexible learners. We speculate that the existence of this relationship across taxa can be reconciled with its absence within species by assuming that fast, innovative learners and non innovative, slow, flexible learners constitute two separate individual strategies, which are both underpinned by enhanced neural processing power. This idea is consistent with the recent proposal that individuals may differ consistently in ‘cognitive style’, differentially trading off speed against accuracy in cognitive tasks. Public Library of Science 2013-12-31 /pmc/articles/PMC3877343/ /pubmed/24391981 http://dx.doi.org/10.1371/journal.pone.0084907 Text en © 2013 Griffin et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Griffin, Andrea S.
Guez, David
Lermite, Françoise
Patience, Madeleine
Tracking Changing Environments: Innovators Are Fast, but Not Flexible Learners
title Tracking Changing Environments: Innovators Are Fast, but Not Flexible Learners
title_full Tracking Changing Environments: Innovators Are Fast, but Not Flexible Learners
title_fullStr Tracking Changing Environments: Innovators Are Fast, but Not Flexible Learners
title_full_unstemmed Tracking Changing Environments: Innovators Are Fast, but Not Flexible Learners
title_short Tracking Changing Environments: Innovators Are Fast, but Not Flexible Learners
title_sort tracking changing environments: innovators are fast, but not flexible learners
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877343/
https://www.ncbi.nlm.nih.gov/pubmed/24391981
http://dx.doi.org/10.1371/journal.pone.0084907
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