A small-size model for a chaotic neural network is proposed using strange a
ttractors for computation. This network has a chaotic ground state and is c
apable of responding to external stimuli by constraining the network dynami
cs to specific parts of the ground state attractor. For parameter optimizat
ion, bifurcation diagrams are evaluated. (C) 1999 Elsevier Science Ltd. All
rights reserved.