Before revision:  (i) learning the structure of a chaotic system purely from  time series, (ii) generating new streams of stimuli from a chaotic system, (iii) switching stream generation among multiple learned chaotic systems , either spontaneously or in response to external perturbations , (iv) inferring missing data from sparse observations of the chaotic system, and (v) deciphering superimposed input from different chaotic systems.
After revision:  (i) learning the structure of a chaotic system purely from time series, (ii) generating new streams of stimuli from a chaotic system, (iii) switching among the imitations of multiple attractors , either spontaneously or in response to external perturbations , (iv) inferring missing data from sparse observations of the chaotic system, and (v) deciphering superimposed input from different chaotic systems.