Provided are a brain-like computing chip and a computing device. The brain-like computing chip comprises a many-core system composed of one or more functional cores, wherein data transmission is carried out between the functional cores by means of a network-on-chip. The functional core comprises at least one neuron processor for computing various neuron models, and at least one coprocessor coupled to the neuron processor and used for executing an integral operation and/or a multiply-add-type operation, wherein the neuron processor can call the coprocessor to execute the multiply-add-type operation. The brain-like computing chip provided in the present invention is used for efficiently implementing various neuromorphic algorithms, and especially for computation features of an SNN-rich model, implementing synaptic computation with a high operation density and cell body computation with a high flexibility requirement.
BRAIN-LIKE COMPUTING CHIP AND COMPUTING DEVICE