VIRTUAL NEUROCOMPUTER ARCHITECTURES FOR NEURAL NETWORKS

摘要

The architectures for a scalable neural processor (SNAP) (Fig. 2) and a Triangular Scalable Neural Array Processor (T-SNAP) (Fig. 14) are expanded to handle network simulations where the number of neurons to be modeled exceeds the number of physical neurons implemented. This virtual neural processing is described for three general virtual architectural approaches for handling the virtual neurons, one for SNAP and one for TSNAP, and a third approach applied to both SNAP and TSNAP.