Analyzing stability of equilibrium points in neural networks: A general approach

Neural Networks

Volumn 16, Issue 10, 2003, Pages 1453-1460

  Truccolo, Wilson A ^a   Rangarajan, Govindan ^b   Chen, Yonghong ^c,d   Ding, Mingzhou ^d  

^a BROWN UNIVERSITY   (United States)

^b INDIAN INSTITUTE OF SCIENCE   (India)

^c XI'AN JIAOTONG UNIVERSITY   (China)

^d FLORIDA ATLANTIC UNIVERSITY   (United States)

Author keywords

Equilibrium point; Excitatory inhibitory unit; Gershg rin disc theorem; Jordan canonical form; Neural networks; Stability constraints

Indexed keywords

COMPUTATIONAL METHODS; NEUROLOGY;

EQUILIBRIUM POINTS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; EQUILIBRIUM CONSTANT; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; METHODOLOGY; OSCILLATOR; PRIORITY JOURNAL; THEORETICAL MODEL;

EID: 0242578095     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(03)00136-9     Document Type: Article

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