Published February 2008 | Version v1
Journal article

Memory switching in a neural network with chaotic neurons and synaptic depression

  • 1. College of Information Science and Technology, Donghua University, 200051, Shanghai (China)

Description

An associative neural network with chaotic neurons and synaptic depression (CNSD) is constructed. Quick memory switching phenomenon in the network is demonstrated. It is also shown that the memory retrieval frequency of CNSD distributes nearly uniformly among the stored patterns, and the rate of memory retrieval of CNSD is much higher than that of a chaotic neural network. A simplified analysis framework for the memory switching phenomenon of CNSD is presented, and the phenomenon is discussed within this framework

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/96/1/012181

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
96
Journal Issue
1
Journal Page Range
[9 p.]
ISSN
1742-6596

Conference

Title
International symposium on nonlinear dynamics
Acronym
ISND 2007
Dates
27-30 Oct 2007
Place
Shanghai (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
40055299
Subject category
S99: GENERAL AND MISCELLANEOUS; S60: APPLIED LIFE SCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CHAOS THEORY; DATA ANALYSIS; NERVE CELLS; NEURAL NETWORKS; NONLINEAR PROBLEMS
Descriptors DEC
ANIMAL CELLS; MATHEMATICS; SOMATIC CELLS