DocumentCode :
2252071
Title :
Weakly Connected Oscllatory Networks as Assoclative and Dynamic Memories
Author :
Corinto, Femando ; Bonnin, Michele ; Gilli, Marco ; Civalleri, Pier Paolo
Author_Institution :
Dept. of Electron., Politecnico di Torino
fYear :
2006
fDate :
28-30 Aug. 2006
Firstpage :
1
Lastpage :
6
Abstract :
Many studies in neuroscience have shown that nonlinear oscillatory networks represent a bio-inspired models for information and image processing. Studies on the thalamo-cortical system have shown that weakly connected oscillatory networks (WCNs) exhibit associative properties and can be exploited for dynamic pattern recognition. In this manuscript we focus on WCNs, composed of oscillators that admit of a Lur´e like description and are organized in such a way that they communicate one another, through a common medium. The main dynamic features are investigated by exploiting the phase deviation equation (i.e. the equation that describes the phase deviation due to the weak coupling). Firstly a very accurate analytic expression of the phase deviation equation is derived, via the joint application of the describing function technique and of Malkin´s theorem. Furthermore, by using a simple learning algorithm, the phase-deviation equation is designed in such a way that given sets of patterns can be stored and recalled. In particular, two models of WCNs are given as examples of associative and dynamic memories
Keywords :
cellular neural nets; content-addressable storage; oscillators; Malkin theorem; associative memories; bio-inspired models; cellular nonlinear networks; describing function; dynamic memories; dynamic pattern recognition; image processing; information processing; learning algorithm; neuroscience; nonlinear oscillators; nonlinear oscillatory networks; oscillatory memories; phase deviation equation; thalamo-cortical system; weakly connected oscillatory networks; Algorithm design and analysis; Cellular neural networks; Electronic mail; Image processing; Limit-cycles; Neuroscience; Nonlinear dynamical systems; Nonlinear equations; Oscillators; Phased arrays; Nonlinear oscillators; bio-inspired networks; cellular nonlinear networks; oscillatory memories;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0640-4
Electronic_ISBN :
1-4244-0640-4
Type :
conf
DOI :
10.1109/CNNA.2006.341644
Filename :
4145884
Link To Document :
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