Synapse efficiency diverges due to synaptic pruning following over-growth
Disordered Systems and Neural Networks
2009-09-29 v4 Statistical Mechanics
q-bio
Abstract
In the development of the brain, it is known that synapses are pruned following over-growth. This pruning following over-growth seems to be a universal phenomenon that occurs in almost all areas -- visual cortex, motor area, association area, and so on. It has been shown numerically that the synapse efficiency is increased by systematic deletion. We discuss the synapse efficiency to evaluate the effect of pruning following over-growth, and analytically show that the synapse efficiency diverges as O(log c) at the limit where connecting rate c is extremely small. Under a fixed synapse number criterion, the optimal connecting rate, which maximize memory performance, exists.
Cite
@article{arxiv.cond-mat/0207545,
title = {Synapse efficiency diverges due to synaptic pruning following over-growth},
author = {Kazushi Mimura and Tomoyuki Kimoto and Masato Okada},
journal= {arXiv preprint arXiv:cond-mat/0207545},
year = {2009}
}
Comments
15 pages, 16 figures