TRAINING RECOGNITION AND GENERATION IN A SPIKING DEEP BELIEF NETWORK (DBN)

摘要

A method of distributed computation includes computing a first set of results in a first computational chain with a first population of processing nodes and passing the first set of results to a second population of processing nodes. The method also includes entering a first rest state with the first population of processing nodes after passing the first set of results and computing a second set of results in the first computational chain with the second population of processing nodes based on the first set of results. The method further includes passing the second set of results to the first population of processing nodes entering a second rest state with the second population of processing nodes after passing the second set of results and orchestrating the first computational chain.