@article {11146879,
	title = {A model for the interaction of learning and evolution},
	journal = {Bull Math Biol},
	volume = {63},
	number = {1},
	year = {2001},
	note = {Dopazo, H Gordon, M B Perazzo, R Risau-Gusman, S Comparative Study Research Support, Non-U.S. Gov{\textquoteright}t United States Bulletin of mathematical biology Bull Math Biol. 2001 Jan;63(1):117-34.},
	pages = {117-34},
	abstract = {We present a simple model in order to discuss the interaction of the genetic and behavioral systems throughout evolution. This considers a set of adaptive perceptrons in which some of their synapses can be updated through a learning process. This framework provides an extension of the well-known Hinton and Nowlan model by blending together some learning capability and other (rigid) genetic effects that contribute to the fitness. We find a halting effect in the evolutionary dynamics, in which the transcription of environmental data into genetic information is hindered by learning, instead of stimulated as is usually understood by the so-called Baldwin effect. The present results are discussed and compared with those reported in the literature. An interpretation is provided of the halting effect.},
	keywords = {Algorithms Alleles Animals *Evolution Genotype Humans *Learning *Neural Networks (Computer) Numerical Analysis, Computer-Assisted Phenotype Synapses/genetics},
	url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve\&db=PubMed\&dopt=Citation\&list_uids=11146879},
	author = {H. Dopazo and Gordon, M. B. and Perazzo, R. and Risau-Gusman, S.}
}
