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Spatio-temporal pattern recognizers using spiking neurons and spike-timing-dependent plasticity.

<24>Spike-timing-dependent learning rules are required to make future spiking neuron software and hardware truly adaptive and useful; however, solid learning rules are currently missing. This paper demonstrates how spatio-temporal pattern recognisers can be learned using STDP. This important case significantly extends earlier works by approaching a solution for the learning of syntax in spiking neuron models. In 2012-2013 the paper received a large number of views at Frontiers. The methods described will be used and further developed in the BABEL project to implement learning systems on the SpiNNaker hardware.