Before revision:  We demonstrate our approach with a highly accurate Lorenz attractor implementation, as well as a second-order approximation of a double pendulum. We additionally demonstrate how to implement higher-order polynomials using sequential networks with only pair-wise synapses.
After revision:  We demonstrate how the required connectivity for several nonlinear dynamical systems can be directly implemented in mSCNs, without training. We also show how to carry out higher-order polynomials using sequential networks with only pair-wise synapses.