Literature DB >> 11287267

How evolutionary history shapes recognition mechanisms.

M J. Ryan1, S M. Phelps, A S. Rand.   

Abstract

Evolutionary psychologists have emphasized the importance of natural selection in shaping cognitive functions, but historical contingency has not received direct study. This is crucial because in response to selection, complex traits tend to be fine-tuned or jury-rigged rather than totally reconstructed. We hypothesize that the neural and cognitive strategies an animal employs in signal recognition are influenced by the strategies used by its ancestors. The responses of female túngara frogs to ancestral calls and to calls of other closely related species are influenced by history. By training artificial neural networks with a series of calls that mimic the species' past history of call evolution or various control histories, we have shown that only networks that evolved through the mimetic history predict the response biases of túngara frogs.

Entities:  

Year:  2001        PMID: 11287267     DOI: 10.1016/s1364-6613(00)01616-8

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  8 in total

1.  Vestigial preference functions in neural networks and túngara frogs.

Authors:  S M Phelps; M J Ryan; A S Rand
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-06       Impact factor: 11.205

2.  Historical contingency affects signaling strategies and competitive abilities in evolving populations of simulated robots.

Authors:  Steffen Wischmann; Dario Floreano; Laurent Keller
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-03       Impact factor: 11.205

3.  Acoustic interference and recognition space within a complex assemblage of dendrobatid frogs.

Authors:  Adolfo Amézquita; Sandra Victoria Flechas; Albertina Pimentel Lima; Herbert Gasser; Walter Hödl
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-03       Impact factor: 11.205

4.  Visually mediated species and neighbour recognition in fiddler crabs (Uca mjoebergi and Uca capricornis).

Authors:  Tanya Detto; Patricia R Y Backwell; Jan M Hemmi; Jochen Zeil
Journal:  Proc Biol Sci       Date:  2006-07-07       Impact factor: 5.349

5.  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

6.  Intensity invariance properties of auditory neurons compared to the statistics of relevant natural signals in grasshoppers.

Authors:  Jan Clemens; Gerroth Weschke; Astrid Vogel; Bernhard Ronacher
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2010-03-07       Impact factor: 1.836

Review 7.  Moth hearing and sound communication.

Authors:  Ryo Nakano; Takuma Takanashi; Annemarie Surlykke
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2014-09-27       Impact factor: 1.836

8.  Shared Song Detector Neurons in Drosophila Male and Female Brains Drive Sex-Specific Behaviors.

Authors:  David Deutsch; Jan Clemens; Stephan Y Thiberge; Georgia Guan; Mala Murthy
Journal:  Curr Biol       Date:  2019-09-26       Impact factor: 10.834

  8 in total

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