Recurrent neural network generates a basis for sensory image cancellation

This study investigates the temporal dynamics of recurrent layers and their relevance to storage of temporal information. A recurrent layer is shown to generate a dynamical basis that allows cancellation of predictable sensory images via and adaptive mechanism based on spike-timing dependent plasticity.