Encoding and recall of spatiotemporal images with Oscillatron-1

As a result of investigating a neural network architecture based on neuron synchronization theory, a concept known as Oscillatron-1 has been developed using a binary Hopfield net for its content addressable memory. A sequence of images representing a moving straight line was input to the network, which was able to encode instantly the sequence exactly as perceived. The moving images could then be recalled from memory by inputting one or more clues, whether the clues were visual or temporal. This architecture is potentially capable of teleologically manipulating arbitrary images and abstractions that presumably constitute the data structures of conscious thought