期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS
卷 20, 期 5, 页码 794-804出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2009.2013341
关键词
Cellular nonlinear networks (CNNs); complete stability; counterclockwise (ccw) input-output (I-O) dynamics; Fitzhugh-Nagumo circuit; Hopfield CNN; passivity theory
类别
资金
- Institut National de Recherche en Informatique et en Automatique (INRIA) de Rocquencourt
The notion of counterclockwise (ccw) input-output (I-O) dynamics, introduced by Angeli (2(106) to deal with questions of multistability in interconnected dynamical systems, is applied and further developed in order to analyze convergence and stability of neural networks. By pursuing a modular approach, we interpret a cellular nonlinear network (CNN) as a positive feedback of a parallel block of single-input-single-output (SISO) dynamical systems, the neurons, and a static multiple-input-multiple-output (MIMO) system that couples them (typically the so-called interconnection matrix). The analysis extends previously known results by enlarging the class of allowed neural dynamics to higher order neurons.
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