We discuss Pulsed Para-Neural Networks (PPNN) defined as graphs consisting of processing nodes and directed edges, called axons, where axons are pure delays, whereas nodes are paraneurons processing spiketrains of constant amplitude. Pusles are received and produced in discrete moments of time. We consider PPNNs with two kinds of paraneurons: MEXOR-based paraneurons (producing a pulse at clock t if it received one and only one pulse at clock t-1) and counter-based paraneuron. We present a "brain" for a mobile robot as an example of practical PPNN.
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