A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity.

ABSTRACT: The ability to learn sequential behaviors is a fundamental property of our brains. Yet a long stream of studies including recent experiments investigating motor sequence learning in adult human subjects have produced a number of puzzling and seemingly contradictory results. In particular, when subjects have to learn multiple action sequences, learning is sometimes impaired by proactive and retroactive interference effects. In other situations, however, learning is accelerated as reflected in facilitation and transfer effects. At present it is unclear what the underlying neural mechanism are that give rise to these diverse findings. Here we show that a recently developed recurrent neural network model readily reproduces this diverse set of findings. The self-organizing recurrent neural netw

SUBMITTER: Wang Q 

PROVIDER: S-EPMC5555713 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature