Developmental self-construction and -configuration of functional neocortical neuronal networks.
Publisher DOI
PubMed ID
25474693
Abstract
The prenatal development of neural circuits must provide sufficient configuration to support at least a set of core postnatal behaviors. Although knowledge of various genetic and cellular aspects of development is accumulating rapidly, there is less systematic understanding of how these various processes play together in order to construct such functional networks. Here we make some steps toward such understanding by demonstrating through detailed simulations how a competitive co-operative ('winner-take-all', WTA) network architecture can arise by development from a single precursor cell. This precursor is granted a simplified gene regulatory network that directs cell mitosis, differentiation, migration, neurite outgrowth and synaptogenesis. Once initial axonal connection patterns are established, their synaptic weights undergo homeostatic unsupervised learning that is shaped by wave-like input patterns. We demonstrate how this autonomous genetically directed developmental sequence can give rise to self-calibrated WTA networks, and compare our simulation results with biological data.
Date Issued
2014-12
Publication Type
Article
Subject(s)
Language(s)
en
Author(s)
Bauer, Roman | |
Pfister, Sabina | |
Hauri, Andreas | |
Pfeiffer, Michael | |
Muir, Dylan R | |
Douglas, Rodney J |
Additional Credits
Journal
PLoS computational biology
Publisher
Public Library of Science
ISSN
1553-734X
Access(Rights)
open.access