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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Main Authors: Andrea S Griffin, David Guez, Françoise Lermite, Madeleine Patience
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3877343?pdf=render
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spelling doaj-6880d2ae452d44f18e81fff258544cc72020-11-25T01:34:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01812e8490710.1371/journal.pone.0084907Tracking changing environments: innovators are fast, but not flexible learners.Andrea S GriffinDavid GuezFrançoise LermiteMadeleine PatienceBehavioural 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.http://europepmc.org/articles/PMC3877343?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Andrea S Griffin
David Guez
Françoise Lermite
Madeleine Patience
spellingShingle Andrea S Griffin
David Guez
Françoise Lermite
Madeleine Patience
Tracking changing environments: innovators are fast, but not flexible learners.
PLoS ONE
author_facet Andrea S Griffin
David Guez
Françoise Lermite
Madeleine Patience
author_sort Andrea S Griffin
title Tracking changing environments: innovators are fast, but not flexible learners.
title_short 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_sort tracking changing environments: innovators are fast, but not flexible learners.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
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.
url http://europepmc.org/articles/PMC3877343?pdf=render
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