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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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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. |
format | Online Article Text |
id | pubmed-3877343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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