Artificial grammar recognition using spiking neural networks
© Cavaco et al; licensee BioMed Central Ltd. 2009
Published: 13 July 2009
A biologically inspired neocortical model consisting of spiking neurons is designed to perform artificial grammar processing. Building on work in , the model is designed to categorize symbol strings as belonging to a Reber grammar . Columnar organization of the cortex is used as the general inspiration of the network [3, 4].
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