The invention belongs to the field of brain-like computing, particularly relates to a brain-like computing
system based on multi-neural-network fusion and an execution method of an
instruction set, and aims to solve the problem that an existing brain-like computing
system cannot realize parallel fusion computing of a deep neural network and an impulsive neural network. The
system is used for carrying out parallel operation on a deep neural network and a pulse neural network, and comprises a local tight
coupling calculation cluster, a PCIE interface and an internal data
bus, wherein the local tight
coupling calculation clusters are electrically connected through an internal data
bus, are used for calculating a deep neural network or a pulse neural network and consist of N * N
neuron enginesNE, and each NE shares one
neuron buffer area; the NE is used for carrying out matrix operation and vector operation on the
neuron model data; and the PCIE interface is matched with a PCIE slot of acomputer mainboard and is used for data interaction between the brain-like computing system and external equipment. According to the invention, parallel operation of the deep neural network and the
spiking neural network is realized.