1. A method of operating a node in a computerized neural network, the method comprising: causing the node to generate tonic spiking output based on a learning rule configured to combine at least one spiking input signal and at least one analog input; and based on a teaching signal associated with the learning rule, causing the node to suppress output generation for a period of time.