We establish some stability results for delayed Hopfield Neural Network Model d/dt xi(t) = -ci(t)xi(t) + ∑aij(t)fj(xj(t)) + ∑bij(t)fj(xj(t - τij (t))) + Ii(t)with variable coefficients and variable delays, by using the Lyapunov function. These stability criteria are new.