Patent ID: 11934946
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for memorizing data signals in a spiking neural network, the method comprising, for each data signal:
supplying metadata relating to the data signal to a machine learning model trained to generate an output signal, indicating a relevance class for a data signal, from input metadata for that data signal;
iteratively supplying the data signal to a sub-assembly of neurons, interconnected via synaptic weights, of a spiking neural network and training said synaptic weights to memorize the data signal in said sub-assembly; and
assigning neurons of said network to the sub-assembly based on the relevance class via a dependence on the output signal of said model such that more relevant data signals are memorized by larger sub-assemblies.