Literature DB >> 11698682

Vestigial preference functions in neural networks and túngara frogs.

S M Phelps1, M J Ryan, A S Rand.   

Abstract

Although there is a growing interest in understanding how perceptual mechanisms influence behavioral evolution, few studies have addressed how perception itself is shaped by evolutionary forces. We used a combination of artificial neural network models and behavioral experiments to investigate how evolutionary history influenced the perceptual processes used in mate choice by female túngara frogs. We manipulated the evolutionary history of artificial neural network models and observed an emergent bias toward calls resembling known ancestral states. We then probed female túngara frogs for similar preferences, finding strong biases toward stimuli that resemble a call hypothesized for a recent ancestor. The data strongly suggest that female túngara frogs exhibit vestigial preferences for ancestral calls, and provide a general strategy for exploring the role of historical contingency in perceptual biases.

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Year:  2001        PMID: 11698682      PMCID: PMC60841          DOI: 10.1073/pnas.231296998

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  24 in total

1.  The geometry of stimulus control.

Authors: 
Journal:  Anim Behav       Date:  1999-10       Impact factor: 2.844

2.  How evolutionary history shapes recognition mechanisms.

Authors:  M J. Ryan; S M. Phelps; A S. Rand
Journal:  Trends Cogn Sci       Date:  2001-04-01       Impact factor: 20.229

3.  Signal decoding and receiver evolution. An analysis using an artificial neural network.

Authors:  M J Ryan; W Getz
Journal:  Brain Behav Evol       Date:  2000-06       Impact factor: 1.808

4.  Mating preference functions of individual female barking treefrogs, Hyla gratiosa, for two properties of male advertisement calls.

Authors:  C G Murphy; H C Gerhardt
Journal:  Evolution       Date:  2000-04       Impact factor: 3.694

5.  Sensory ecology, receiver biases and sexual selection.

Authors:  J A Endler; A L Basolo
Journal:  Trends Ecol Evol       Date:  1998-10-01       Impact factor: 17.712

6.  Phylogenetic influence on mating call preferences in female túngara frogs, Physalaemus pustulosus.

Authors: 
Journal:  Anim Behav       Date:  1999-04       Impact factor: 2.844

7.  Neural networks predict response biases of female túngara frogs.

Authors:  S M Phelps; M J Ryan
Journal:  Proc Biol Sci       Date:  1998-02-22       Impact factor: 5.349

8.  Evolutionary change in a receiver bias: a comparison of female preference functions.

Authors:  A L Basolo
Journal:  Proc Biol Sci       Date:  1998-11-22       Impact factor: 5.349

9.  The role of stimulus-orientation in eliciting the begging response from newly-hatched chicks of the laughing gull (Larus atricilla).

Authors:  J P Hailman
Journal:  Anim Behav       Date:  1971-05       Impact factor: 2.844

10.  Female responses to ancestral advertisement calls in tungara frogs.

Authors:  M J Ryan; A S Rand
Journal:  Science       Date:  1995-07-21       Impact factor: 47.728

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  5 in total

1.  Reproductive character displacement generates reproductive isolation among conspecific populations: an artificial neural network study.

Authors:  Karin S Pfennig; Michael J Ryan
Journal:  Proc Biol Sci       Date:  2006-06-07       Impact factor: 5.349

Review 2.  Sensory ecology and perceptual allocation: new prospects for neural networks.

Authors:  Steven M Phelps
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-03-29       Impact factor: 6.237

3.  Character displacement and the evolution of mate choice: an artificial neural network approach.

Authors:  Karin S Pfennig; Michael J Ryan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-03-29       Impact factor: 6.237

4.  Reconciling concepts, theory, and empirical patterns surrounding cascade reinforcement.

Authors:  Rebecca C Fuller
Journal:  Curr Zool       Date:  2016-03-04       Impact factor: 2.624

5.  What artifice can and cannot tell us about animal behavior.

Authors:  Daniel L Powell; Gil G Rosenthal
Journal:  Curr Zool       Date:  2016-08-22       Impact factor: 2.624

  5 in total

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