@Article{Phelps2000,
  author   = {S. M. Phelps and M. J. Ryan},
  journal  = {Proc Biol Sci},
  title    = {History influences signal recognition: neural network models of t\'ungara frogs.},
  year     = {2000},
  number   = {1453},
  pages    = {1633-9},
  volume   = {267},
  abstract = {Animals often attend to only a few of the cues provided by the complex
	displays of conspecifics. We suggest that these perceptual biases
	are influenced by mechanisms of signal recognition inherited from
	antecedent species. We tested this hypothesis by manipulating the
	evolutionary history of artificial neural networks, observing how
	the resulting networks respond to many novel stimuli and comparing
	these responses to the behaviour of females in phonotaxis experiments.
	Networks with different evolutionary histories proved equally capable
	of evolving to recognize the call of the t\'ungara frog, Physalaemus
	pustulosus, but exhibited distinct responses to novel stimuli. History
	influenced the ability of networks to predict known responses of
	t\'ungara frogs; network accuracy was determined by how closely the
	network history approximated the hypothesized history of the t\'ungara
	frog. Our findings emphasize the influence of past selection pressures
	on current perceptual mechanisms, and demonstrate how neural network
	models can be used to address behavioural questions that are intractable
	through traditional methods.},
  doi      = {10.1098/rspb.2000.1189},
  keywords = {Algorithms, Animal, Animals, Anura, Behavior, Biological, Evolution, Female, Male, Models, Neural Networks (Computer), Vocalization, 11467426},
}

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