Spiking neural network computing system and method for brain-like intelligence and cognitive computing

A spiking neural network computing system and method for brain-like intelligence and cognitive computing. The system comprises a model description module (3), a parameter database (2), a configuration description module (1), a configuration manager (6), a rule manager (12), a data manager (8), a network builder (9), a network manager (10), an operation manager (7), a scheduler (11), a log manager (5), an operation monitoring module (13) and a graphical display module (4). The system provides the function of automatically executing synapse and neuron cutting and regeneration according to certain conditions and rules, and provides a variety of flexible trigger conditions for starting up cutting and regeneration processes as well as rules for executing the processes, which eliminates the burden of neural network developers needing to write synapse and neuron cutting and regeneration programs by themselves, thereby effectively solving several problems in existing brain-like spiking neural network computing frameworks.