A compound-mode neuron information processing method and system, and a computer device. The method comprises: reading a neuron working mode configuration parameter, wherein the neuron working mode configuration parameter comprises an artificial neuron working mode configuration parameter or a pulse neuron working mode configuration parameter; configuring the current neuron working mode according to the neuron working mode configuration parameter; receiving front-end neuron output information; reading the current neuron information; calculating the current neuron output information according to the front-end neuron output information and the current neuron information; and outputting the current artificial neuron output information or the current pulse neuron output information. The method simultaneously supports an artificial neural network and a pulse neural network under the same architecture, enriches the information processing type of a brain-like computing platform, reduces the cost of multi-task execution in different neural network working modes, and improves the multi-task execution efficiency in different neural network working modes.
COMPOUND-MODE NEURON INFORMATION PROCESSING METHOD AND SYSTEM, AND COMPUTER DEVICE