Spiking neuron network conditionally independent subset classifier apparatus and methods. In some implementations, the network may comprise one or more subset neuron layers configured to determine presence of one or more features in the subset of plurality of conditionally independent features. The output of the subset layer may be coupled to an aggregation layer. State of the subset layer may be configured during training based on training input and a reference signal. During operation, spiking output of the subset layer may be combined by the aggregation layer to produce classifier output. Subset layer output and/or classifier output may be encoded using spike rate, latency, and/or base-n encoding.
Spiking neuron classifier apparatus and methods using conditionally independent subsets