How reliable is the connectivity in cortical neural networks?

被引：6

作者：

Faisal, AA ^{[1
]}

Laughlin, SB ^{[1
]}

White, JA ^{[1
]}

机构：

[1] Univ Cambridge, Dept Zool, Cambridge CB2 3EJ, England

来源：

PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年

关键词：

D O I：

10.1109/IJCNN.2002.1007767

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

Neurons use stochastic components, including ion channels, to process and transmit information. In small structures these can cause significant signal fluctuations. We developed a stochastic simulator to investigate the reliability of cortical axons. Ion channel stochasticity makes these thin axons highly susceptible to spontaneous action potentials and information rates decrease linearly with distance.

引用

页码：1661 / 1666

页数：4

共 22 条

[1]

[Anonymous], 1992, Markov Processes: An Introduction to Physical Scientists

[2]

An energy budget for signaling in the grey matter of the brain [J].