We apply the symmetric composition method for the integration of ordinary diierential equations to dynamical neural networks. In this method, we split the vector eld, which is parameterized by a neural network, into the contribution of each of its neurons. We then solve the elementary diierential equation associated to each neuron separately , and recombine these contributions in a sequence of ...