A network based on the Inverse Function Delayed (ID) model which can recall complex temporal sequences of patterns, is proposed. Complex pattern can be dealt with by extending the network, for each main unit, with buffer units that carries the role of a memory. Replacing the cross correlated weight matrix with a matrix computed from a linear separation problem point of view, these pattern can b...