DocumentCode :
358339
Title :
Extended SC-CNN implementation of the Hindmarsh-Rose neuron
Author :
Arena, Paolo ; Fortuna, Luigi ; Frasca, Mattia
Author_Institution :
Dipt. Elettrico, Elettronico e Sistemistico, Catania Univ., Italy
fYear :
2000
fDate :
2000
Firstpage :
339
Lastpage :
344
Abstract :
In this paper an extended state-controlled cellular neural network (SC-CNN) based design of the Hindmarsh-Rose neuron is presented. In particular, both the simplicity and low cost characteristic of the realisation are emphasised. Experimental series of this circuit are examined; either spiking-bursting behaviour or beating activity are observed for different values of a circuit parameter corresponding to a physical DC current in the biological model. Moreover, the implementation of the flexor-extensor central pattern generator with the presented Hindmarsh-Rose neuron design is examined
Keywords :
cellular neural nets; neural chips; transient response; Hindmarsh-Rose neuron; beating activity; cellular neural network; flexor-extensor model; pattern generator; spiking-bursting behaviour; Analog circuits; Biological system modeling; Cellular neural networks; Chaos; Circuit simulation; Equations; Hardware; Neurons; Numerical simulation; Robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
Type :
conf
DOI :
10.1109/CNNA.2000.877352
Filename :
877352
Link To Document :
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