Computational developmental neuroscience: capturing developmental trajectories from genes to cognition

DOI	Trouver le DOI : https://doi.org/10.1109/TAMD.2010.2041776
Auteur	Rechercher : Thivierge, J. P.¹
Affiliation	Conseil national de recherches du Canada. Institut des sciences biologiques du CNRC
Format	Texte, Article
Sujet	Axonal growth; computational model; development; intrinsic activity; synaptic plasticity
Résumé	Over 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.
Date de publication	2010-01-01
Dans	IEEE Transactions on Autonomous Mental Development 2, nº 1 (1 janvier 2010) : 51–58.
Langue	anglais
Publications évaluées par des pairs	Oui
Numéro NPARC	17620235
Exporter la notice	Exporter en format RIS
Signaler une correction	Signaler une correction (s'ouvre dans un nouvel onglet)
Identificateur de l’enregistrement	10236e07-d211-43f7-a3d6-16761386ed52
Enregistrement créé	2011-03-30
Enregistrement modifié	2020-04-17