@inproceedings{8c9c6d725cbe41a2ac77f5f24845b974,
title = "Development of neural network structure with biological mechanisms",
abstract = "We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions of the local fields felt by neurons-akin to electrical stimulation-and of the global average field-representing total energy consumption. We find that initial degree distributions then evolve towards stationary states which can either be fairly homogeneous or highly heterogeneous, depending on parameters. The critical cases-which can result in scale-free distributions-are shown to correspond, under a mean-field approximation, to nonlinear drift-diffusion equations. We show how appropriate choices of parameters yield good quantitative agreement with published experimental data concerning synaptic densities during brain development (synaptic pruning).",
keywords = "Brain development, Neural networks, Synaptic pruning",
author = "Samuel Johnson and Joaqu{\'i}n Marro and Mejias, {Jorge F.} and Torres, {Joaqu{\'i}n J.}",
year = "2009",
doi = "10.1007/978-3-642-02478-8_29",
language = "English",
isbn = "3642024777",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "228--235",
booktitle = "Bio-Inspired Systems",
edition = "PART 1",
note = "10th International Work-Conference on Artificial Neural Networks, IWANN 2009 ; Conference date: 10-06-2009 Through 12-06-2009",
}