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Abstract Recurrent Temporal Network(ATRN) Model (Dominey, Hoen,Blanc,Lelekov) (Dominey et al.)
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The model developed during the research and tested against real life neurophysiological
data is focused on the benefits of the particular features of sequential cognition for
human language skills.A model which is based on the functional neuroanatomy
of primate cortex and basal ganglia is constructed with the purpose of cognitive sequence
processing.Then the capabilities of this model in human infant simulation for drawing out
3 important structures of serial, temporal and abstract concepts from language-like sound
sequence input. Current research presented how this model can perform adult level syntactic
understanding by training based on open and closed class words.Two main predictions are made in relevance
to model and their validity has been tested against existent data in literature. Those predictions are
that impaired syntactic processing is associated with non-linguistic cognitive sequencing task relevant
damages and syntactic processing should be involved in non-linguistic cognitive sequence tasks as well as
it is involved in neurophysiological processes. As a result of this research it is concluded that sequential
cognition will provide a valuable pattern in neurophysiological language studies.
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