ArticleNature neuroscience2012
Neural population partitioning and a concurrent brain-machine interface for sequential motor function.
Article in Nature neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
31 citing papers in PubMed, 99 citations in OpenAlex.
- Review
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- Identifying Distinct Neural Features between the Initial and Corrective Phases of Precise Reaching Using AutoLFADS.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Multiplicative joint coding in preparatory activity for reaching sequence in macaque motor cortex.Nature communications · 2024Article
- Multimodal subspace identification for modeling discrete-continuous spiking and field potential population activity.Journal of neural engineering · 2024Article
- Unsupervised learning of stationary and switching dynamical system models from Poisson observations.Journal of neural engineering · 2023Article
- Neural Plasticity in Sensorimotor Brain-Machine Interfaces.Annual review of biomedical engineering · 2023Review
- Modeling multiscale causal interactions between spiking and field potential signals during behavior.Journal of neural engineering · 2022Article
- A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size.Neural computation · 2021Article
- Reduced sociability and social agency encoding in adult Shank3-mutant mice are restored through gene re-expression in real time.Nature neuroscience · 2021Article
- Multiscale low-dimensional motor cortical state dynamics predict naturalistic reach-and-grasp behavior.Nature communications · 2021Article
- Theta Dynamics Contribute to Retrieving Motor Plans after Interruptions in the Primate Premotor Area.Cerebral cortex communications · 2021Article
- Brain-machine interfaces from motor to mood.Nature neuroscience · 2019Review
- Article
- A common goodness-of-fit framework for neural population models using marked point process time-rescaling.Journal of computational neuroscience · 2018Article
- Point Process Filtering Estimates of Branching Rate for Neural Dendritic Morphology Generation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2018Article
- Optimizing the learning rate for adaptive estimation of neural encoding models.PLoS computational biology · 2018Article
- Rapid control and feedback rates enhance neuroprosthetic control.Nature communications · 2017Article
- Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering.PLoS computational biology · 2016Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.