Literature DB >> 16050106

Peak shift discrimination learning as a mechanism of signal evolution.

Spencer K Lynn1, Jonathan Cnaani, Daniel R Papaj.   

Abstract

"Peak shift" is a behavioral response bias arising from discrimination learning in which animals display a directional, but limited, preference for or avoidance of unusual stimuli. Its hypothesized evolutionary relevance has been primarily in the realm of aposematic coloration and limited sexual dimorphism. Here, we develop a novel functional approach to peak shift, based on signal detection theory, which characterizes the response bias as arising from uncertainty about stimulus appearance, frequency, and quality. This approach allows the influence of peak shift to be generalized to the evolution of signals in a variety of domains and sensory modalities. The approach is illustrated with a bumblebee (Bombus impatiens) discrimination learning experiment. Bees exhibited peak shift while foraging in an artificial Batesian mimicry system. Changes in flower abundance, color distribution, and visitation reward induced bees to preferentially visit novel flower colors that reduced the risk of flower-type misidentification. Under conditions of signal uncertainty, peak shift results in visitation to rarer, but more easily distinguished, morphological variants of rewarding species in preference to their average morphology. Peak shift is a common and taxonomically widespread phenomenon. This example of the possible role of peak shift in signal evolution can be generalized to other systems in which a signal receiver learns to make choices in situations in which signal variation is linked to the sender's reproductive success.

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Year:  2005        PMID: 16050106

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  31 in total

1.  Flowers help bees cope with uncertainty: signal detection and the function of floral complexity.

Authors:  Anne S Leonard; Anna Dornhaus; Daniel R Papaj
Journal:  J Exp Biol       Date:  2011-01-01       Impact factor: 3.312

2.  Shifts in postdiscrimination gradients within a stimulus dimension based on bilateral facial symmetry.

Authors:  Adam Derenne
Journal:  J Exp Anal Behav       Date:  2010-05       Impact factor: 2.468

3.  Temporal dynamics of generalization and representational distortion.

Authors:  Matthew G Wisniewski; Barbara A Church; Eduardo Mercado
Journal:  Psychon Bull Rev       Date:  2010-12

4.  Evolution of aquatic insect behaviours across a gradient of disturbance predictability.

Authors:  David A Lytle; Michael T Bogan; Debra S Finn
Journal:  Proc Biol Sci       Date:  2008-02-22       Impact factor: 5.349

5.  Receiver bias for exaggerated signals in honeybees and its implications for the evolution of floral displays.

Authors:  Dhruba Naug; H S Arathi
Journal:  Biol Lett       Date:  2007-12-22       Impact factor: 3.703

6.  Songs of Darwin's finches diverge when a new species enters the community.

Authors:  B Rosemary Grant; Peter R Grant
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-03       Impact factor: 11.205

7.  The evolution of imperfect floral mimicry.

Authors:  Nicolas J Vereecken; Florian P Schiestl
Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-27       Impact factor: 11.205

8.  Bumblebees (Bombus terrestris) and honeybees (Apis mellifera) prefer similar colours of higher spectral purity over trained colours.

Authors:  Katja Rohde; Sarah Papiorek; Klaus Lunau
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2012-12-09       Impact factor: 1.836

9.  Effects of discrimination training on fear generalization gradients and perceptual classification in humans.

Authors:  Joseph E Dunsmoor; Kevin S LaBar
Journal:  Behav Neurosci       Date:  2013-02-18       Impact factor: 1.912

10.  "Utilizing" signal detection theory.

Authors:  Spencer K Lynn; Lisa Feldman Barrett
Journal:  Psychol Sci       Date:  2014-08-05
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