There is an interesting news report today about a study that suggests that birds obtain their flying ability from a "genetically specified latent memory for flying." The author of the study, Jim Stone from the University of Sheffield, suggests that complex behaviors like flying, hunting, nest building, etc, are "acquired by a combination of innate ability and learning over many generations." This would be a huge benefit to organisms by reducing the "fitness cost" that results from learning skills that involve trial and error or other forms of practice before perfecting a behavior.
I am skeptical, it sounds more than a little Lamarckian to me, but I'm sure there is more to his claims than what was covered in a brief press release. He apparently used computer simulations and artificial neural networks to support his claims, but the details of how the experiments back up his theory weren't described. I am assuming he used some data from birds, since it specifically mentions bird flight as an example in the report, but that may not be the case. I tried to find the cited paper in PLOS Computational Biology but had no luck, the release was just issued today so maybe the paper hasn't been put up yet, I will keep my eye out for it and report back if it contains anything juicy, in the meanwhile I thought that even the meager press release was interesting enough to warrant mentioning.
Paper: Stone JV, "Distributed Representations Accelerate Evolution of Adaptive Behaviours", PLoS Computational Biology, 2007.
Tuesday, August 14, 2007
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