Abstract: A firing neural network computing system and method for brain-like intelligence and cognitive computing. The system includes a model description module, a parameter database, a configuration description module, a configuration manager, a rule manager, a data manager, a network builder, a network manager, an operation manager, a scheduler, a log manager, an operation monitoring module and a graphical display module. The system provides the function of automatically executing synapse and neuron pruning and genesis according to certain conditions and rules, and provides a variety of flexible trigger conditions for starting up pruning and genesis processes as well as rules for executing the processes, which eliminates the burden of neural network developers needing to write synapse and neuron pruning and genesis programs by themselves, thereby effectively solving several problems in existing brain-like firing neural network computing frameworks.

Abstract: A brain-like decision-making and motion control system is disclosed, this system comprises an active decision-making module, an automatic decision-making module, an evaluation module, a memory module, a perceptual module, a compound control module, an input channel module, an output channel module, and a controlled object module. The three working modes supported by the system include an active supervision mode, an automatic mode, and a feedback-driven mode, which enables the robot to make autonomous decisions to select targets and operations and delicately control actions in the process of interacting with the environment, and can make the robot learn new operations by trial and error, imitation, demonstration, with the flexibility to adapt to the complex task and the environment.