Apparatus and methods for gating analog and spiking signals in artificial neural networks

摘要

Apparatus and methods for universal node design implementing a universal learning rule in a mixed signal spiking neural network. In one implementation, at one instance, the node apparatus, operable according to the parameterized universal learning model, receives a mixture of analog and spiking inputs, and generates a spiking output based on the model parameter for that node that is selected by the parameterized model for that specific mix of inputs. At another instance, the same node receives a different mix of inputs, that also may comprise only analog or only spiking inputs and generates an analog output based on a different value of the node parameter that is selected by the model for the second mix of inputs. In another implementation, the node apparatus may change its output from analog to spiking responsive to a training input for the same inputs.

主权项

1. A computer-implemented method of synaptic gating in a network, the method being performed by one or more processors configured to execute computer program modules, the method comprising:
generating an output at a node of the network, the output configured to inhibit a gating unit of the network; based on at least one spiking input signal, at least one continuous input signal and a teaching signal, pausing generation of the output; and based on the pausing, activating the gating unit, thereby effectuating the synaptic gating;
wherein:generation of the output is characterized by an active node state configured in accordance with a supervised learning process;the pausing of the output generation is characterized by an inactive node state configured based on the teaching signal; andthe teaching signal comprises one or more spikes configured to transition the node into the inactive state.