Switched-capacitor chaotic neurons fabricated in a full-custom integrated circuit chip are used to investigate the behavior of 2- and 3-neuron chaotic neural networks. Various sets of parameters are used to visualize the dynamical responses of the networks. Hysteresis of the network is also demonstrated. Lyapunov exponents are approximated from the measured data to characterize the state of each neuron. The effect of the finite length of data and the rounding effect of data acquisition system to the computation of Lyapunov exponents are briefly discussed.
|Number of pages||7|
|Journal||IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences|
|Publication status||Published - 1995 Apr|
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Hardware and Architecture
- Information Systems