Patent ID: 11941526
Assignee: LYNXI TECHNOLOGIES CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. A method for training spiking neuron network, comprising:
inputting a spiking signal corresponding to a training sample into a spiking neuron network to be trained; and
training the spiking neuron network based on a back propagation rule, wherein a forward propagation stage of training comprises: adjusting a spiking firing threshold corresponding to a target layer in the spiking neuron network according to confidence corresponding to the target layer, wherein the confidence corresponding to the target layer is associated with an expected spiking firing sparsity of the target layer, and
wherein a spiking firing sparsity is a ratio of the number of neurons firing spiking in the target layer to the number of all neurons in the target layer,
wherein the adjusting a spiking firing threshold corresponding to a target layer in the spiking neuron network according to confidence corresponding to the target layer comprises:
calculating an activation parameter corresponding to the target layer according to a membrane potential corresponding to the target layer;
performing spiking firing in response to the activation parameter being greater than or equal to the spiking firing threshold; and
adjusting the spiking firing threshold according to a firing rate of the target layer and the confidence.