Brain-Computer Interface with Inhibitory Neurons Reveals Subtype-Specific Strategies.

ABSTRACT: Brain-computer interfaces have seen an increase in popularity due to their potential for direct neuroprosthetic applications for amputees and disabled individuals. Supporting this promise, animals-including humans-can learn even arbitrary mapping between the activity of cortical neurons and movement of prosthetic devices [1-4]. However, the performance of neuroprosthetic device control has been nowhere near that of limb control in healthy individuals, presenting a dire need to improve the performance. One potential limitation is the fact that previous work has not distinguished diverse cell types in the neocortex, even though different cell types possess distinct functions in cortical computations [5-7] and likely distinct capacities to control brain-computer interfaces. Here, we made a fi

SUBMITTER: Mitani A 

PROVIDER: S-EPMC5760288 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature