Computational developmental neuroscience: capturing developmental trajectories from genes to cognition

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DOIResolve DOI: http://doi.org/10.1109/TAMD.2010.2041776
AuthorSearch for:
TypeArticle
Journal titleIEEE Transactions on Autonomous Mental Development
ISSN1943-0604
Volume2
Issue1
Pages5158; # of pages: 8
SubjectAxonal growth; computational model; development; intrinsic activity; synaptic plasticity
AbstractOver the course of development, the central nervous system grows into a complex set of structures that ultimately controls our experiences and interactions with the world. To understand brain development, researchers must disentangle the contributions of genes, neural activity, synaptic plasticity, and intrinsic noise in guiding the growth of axons between brain regions. Here, we examine how computer simulations can shed light on neural development, making headway towards systems that self-organize into fully autonomous models of the brain.We argue that these simulations should focus on the “open-ended” nature of development, rather than a set of deterministic outcomes.
Publication date
LanguageEnglish
AffiliationNRC Institute for Biological Sciences; National Research Council Canada
Peer reviewedYes
NPARC number17620235
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Record identifier10236e07-d211-43f7-a3d6-16761386ed52
Record created2011-03-30
Record modified2016-05-09
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