Behavioral and Brain Sciences

behavioral and brain sciences (2005), 28:4:609-611 cambridge university press
Copyright © 2005 cambridge university press
doi:10.1017/S0140525X05430101

open peer commentary

population lateralization arises in simulated evolution of non-interacting neural networks


james a. reggia a1 and alexander grushin a1
a1 department of computer science, university of maryland, college park, md 20742 reggia@cs.umd.edu agrushin@cs.umd.edu http://www.cs.umd.edu/~reggia/ http://www.cs.umd.edu/~agrushin/

Abstract

recent computer simulations of evolving neural networks have shown that population-level behavioral asymmetries can arise without social interactions. although these models are quite limited at present, they support the hypothesis that social pressures can be sufficient but are not necessary for population lateralization to occur, and they provide a framework for further theoretical investigation of this issue.




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