ArticlePLoS computational biology2014
Developmental self-construction and -configuration of functional neocortical neuronal networks.
Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed.
- Calibration of stochastic, agent-based neuron growth models with approximate Bayesian computation.Journal of mathematical biology · 2024Article
- Adaptive rewiring: a general principle for neural network development.Frontiers in network physiology · 2024Review
- Retinal self-organization: a model of retinal ganglion cells and starburst amacrine cells mosaic formation.Open biology · 2023Article
- Constructive connectomics: How neuronal axons get from here to there using gene-expression maps derived from their family trees.PLoS computational biology · 2022Article
- Creative Destruction: A Basic Computational Model of Cortical Layer Formation.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Adaptive Rewiring in Weighted Networks Shows Specificity, Robustness, and Flexibility.Frontiers in systems neuroscience · 2021Article
- A generative growth model for thalamocortical axonal branching in primary visual cortex.PLoS computational biology · 2020Article
- Nonlinear growth: an origin of hub organization in complex networks.Royal Society open science · 2017Article
- Further Work on the Shaping of Cortical Development and Function by Synchrony and Metabolic Competition.Frontiers in computational neuroscience · 2016Article
- Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity.Frontiers in computational neuroscience · 2014Article
Corrections and comments
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.