A dual-pathway neural network model of control relinquishment in motor skill learning

作者: David C. Noelle , Ashish Gupta

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摘要: Cognitive psychologists have long recognized that the acquisition of a motor skill involves transition from attention-demanding controlled processing to more fluent automatic processing. Neuroscientific studies suggest and rely on two largely distinct neural pathways. The pathway, which includes prefrontal cortex, is seen as acquiring declarative representations skills. In comparison, pathway thought develop procedural representations. Automaticity in learning reduction dependence frontal systems an increased reliance pathway. this paper, we propose biologically plausible computational model automaticity. This offers dual-pathway neurocomputational account translation knowledge into during learning. support model, review some previously reported human experimental results involving sequential key pressing task, demonstrate, through simulation, howthe provides parsimonious explanation for these results.

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