A brain-inspired computing chip based on a spiking neural network, belonging to the technical field of artificial neural networks. The brain-inspired computing chip is composed of a plurality of nodes integrating storage and computation, wherein one node comprises a plurality of neurons; the neurons are connected via synapses; the neurons of the same node share a synapse memory, and the synapse memory is divided into a linked list area and a synapse data packet area; the linked list area includes a linked list of each neuron; the linked list is used for storing the address of a synapse data packet of each neuron; the synapse data packet area includes the synapse data packet of each neuron; and the synapse data packet is used for storing synapse information of each neuron in the node. In terms of the huge difference in the number of synapses connected between different neurons, by utilizing an implementation mode of sharing stored synapse information and by means of dynamic division of a synapse memory, the chip enables each neuron to be allocated according to requirements, thereby making full use of a storage space.
BRAIN-INSPIRED COMPUTING CHIP BASED ON SPIKING NEURAL NETWORK