Patent ID: 11972343
Assignee: INAIT SA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A method performed by one or more data processing devices, the method comprising:
receiving a training set, the training set comprising results of information processing by a source recurrent neural network, wherein the results of the information processing by the source recurrent neural network are encoded in a plurality of representations of topological structures in patterns of signal transmission activity that arise in the source recurrent neural network in response to different inputs, the plurality of representations of topological structures in patterns of signal transmission activity comprising digits that each indicate a presence or absence of a respective pattern of signal transmission activity between nodes and links in the source recurrent neural network, wherein:
nodes act as accumulators and signals are intermittently transmitted along links in the source recurrent neural network,
the signal transmission activity is responsive to different inputs into the source recurrent neural network, and
the signals are transmitted in the source recurrent neural network in response to the different inputs into the source recurrent neural network and, at different times, different proper subsets of the links in the source recurrent neural network transmit the signals in response to the different inputs; and

training a neural network using the plurality of representations either as an input to the neural network or as a target answer vector.