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

Claim 10:
11. An apparatus for memorizing data signals, the apparatus comprising
a spiking neural network for receiving data signals to be memorized,
a classifier implementing a machine learning model for generating an output signal, indicating a relevance class for a data signal, from input metadata relating to that data signal, and
control logic adapted, for each data signal, to:
supply said metadata for the data signal to the classifier to obtain said output signal indicating a relevance class for the data signal;
iteratively supply the data signal to a sub-assembly of neurons, interconnected via synaptic weights, of the spiking neural network and train said synaptic weights to memorize the data signal in said sub-assembly; and
assign neurons of said network to the sub-assembly based on the relevance class via a dependence on said output signal of the classifier such that more relevant data signals are memorized by larger sub-assemblies.