Synapse efficiency diverges due to synaptic pruning following over-growth

URI http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/4036
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Title
Synapse efficiency diverges due to synaptic pruning following over-growth
Author
氏名 MIMURA Kazushi
ヨミ ミムラ カズシ
別名 三村 和史
氏名 KIMOTO Tomoyuki
ヨミ キモト トモユキ
別名 木本 智幸
氏名 OKADA Masato
ヨミ オカダ マサト
別名 岡田 真人
Abstract

In the development of the brain, it is known that synapses are pruned following overgrowth. This pruning
following overgrowth 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 overgrowth,
and analytically show that the synapse efficiency diverges as O(uln cu) at the limit where connecting
rate c is extremely small. Under a fixed synapse number criterion, the optimal connecting rate, which maximizes
memory performance, exists.

Description Peer Reviewed
Journal Title
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume
68
Issue
3
Spage
031910-1
Epage
031910-15
Published Date
2003-09
Publisher
American Physical Society
ISSN
1539-3755
NCID
AA11558033
Language
eng
NIIType
Journal Article
Text Version
出版社版
Rights
© 2008 The American Physical Society
Old URI
Set
hiroshima-cu