Stability analysis for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si349.svg" display="inline" id="d1e137"><mml:mi>μ</mml:mi></mml:math>-p.a.a. solutions of MAM neural network with neuron gains

The work considers the μ-p.a.a. (measure-pseudo almost automorphic) solutions of MAM neural network with neuron gains. By using the properties of μ-p.a.a. functions, inequality technique and Banach contraction mapping principle, some sufficient conditions are obtained to ensure the existence and the global exponential stability of a unique μ-p.a.a. solution of MAM neural network with neuron gains. Moreover, some numerical examples are given to illustrate our main results.