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• W2015667795 abstract "Brain-machine interfaces (BMIs) have typically focused on performing single-targeted movements. Here the authors report the presence of two subpopulations of neurons in the monkey premotor cortex that allow two planned targets to be simultaneously held in working memory without degradation. They use this finding to develop a BMI that concurrently decodes a full motor sequence in advance of movement and then accurately executes it. Although brain-machine interfaces (BMIs) have focused largely on performing single-targeted movements, many natural tasks involve planning a complete sequence of such movements before execution. For these tasks, a BMI that can concurrently decode the full planned sequence before its execution may also consider the higher-level goal of the task to reformulate and perform it more effectively. Using population-wide modeling, we discovered two distinct subpopulations of neurons in the rhesus monkey premotor cortex that allow two planned targets of a sequential movement to be simultaneously held in working memory without degradation. Such marked stability occurred because each subpopulation encoded either only currently held or only newly added target information irrespective of the exact sequence. On the basis of these findings, we developed a BMI that concurrently decodes a full motor sequence in advance of movement and can then accurately execute it as desired." @default.
• W2015667795 created "2016-06-24" @default.
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• W2015667795 date "2012-11-11" @default.
• W2015667795 modified "2023-10-18" @default.
• W2015667795 title "Neural population partitioning and a concurrent brain-machine interface for sequential motor function" @default.
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• W2015667795 doi "https://doi.org/10.1038/nn.3250" @default.
• W2015667795 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3509235" @default.
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• W2015667795 hasPublicationYear "2012" @default.
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