Neural Nets for Short Movements in Natural Language Processing
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
The neural networks for language in the brain: creating LAD
Computational models for neuroscience
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A simple approach is developed to use semantics as defined by virtual actions to guide the construction of manipulable symbol representations for objects and actions, in particular to obtain a model of syntactic processing in the developing infant. This uses a simplified model of the frontal lobes, and in particular, the various sets of neurons involved in the process of chunking of temporal sequences observed in monkeys. The manner in which such neurons play a role in phrase structure grammar is elucidated at a simple level.