The problem of robust stability is investigated for a class of uncertainHopfield-type neural networks with proportional delays. The existence anduniqueness of an equilibrium is first established using the homeomorphic mappingtheorem. Then, by employing a modified Lyapunov–Krasovskii functional, a newcriterion for the global asymptotic stability of an equilibrium point of the system isformulatedThe problem of robust stability is investigated for a class of uncertainHopfield-type neural networks with proportional delays. The existence anduniqueness of an equilibrium is first established using the homeomorphic mappingtheorem. Then, by employing a modified Lyapunov–Krasovskii functional, a newcriterion for the global asymptotic stability of an equilibrium point of the system isformulated