  In this paper, stability and synchronization of a Caputo fractional BAM
neural network system of high-order type and neutral delays are examined. A
mixture of properties of fractional calculus, Laplace transform, and analytical
techniques is used to derive Mittag-Leffler stability and synchronization for
two classes of activation functions. A fractional version of Halanay inequality
is utilized to deal with the fractional character of the system and some
suitable evaluations and handling to cope with the higher order feature.
Another feature is the treatment of unbounded activation functions. Explicit
examples to validate the theoretical outcomes are shown at the end.
