ReviewCurrent opinion in neurobiology2016
Brain-computer interfaces for dissecting cognitive processes underlying sensorimotor control.
Review in Current opinion in neurobiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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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.
The trial behind it
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
54 citing papers in PubMed.
- Human learning of noninvasive brain-computer interfaces via manifold geometry.Nature neuroscience · 2026Article
- Assistive algorithms influence neural representations in motor brain-computer interfaces.Nature communications · 2026Article
- Duration-modulated neural population dynamics in humans during BMI controls.Communications biology · 2026Article
- The Secondary Motor Cortex-External Globus Pallidus Pathway Regulates Auditory Feedback of Volitional Control.Neuroscience bulletin · 2026Article
- Brain-computer interfaces as a causal probe for scientific inquiry.Trends in cognitive sciences · 2026Review
- Ethical imperatives in the commercialization of brain-computer interfaces.IBRO neuroscience reports · 2025Article
- Frontal and parietal planning signals encode adapted motor commands when learning to control a brain-computer interface.PLoS biology · 2025Article
- Visual target and task-critical feedback uncertainty impair different stages of reach planning in motor cortex.Nature communications · 2025Article
- Assistive sensory-motor perturbations influence learned neural representations.bioRxiv : the preprint server for biology · 2025Article
- Neural populations are dynamic but constrained.Nature neuroscience · 2025Article
- Dynamical constraints on neural population activity.Nature neuroscience · 2025Article
- A theory of brain-computer interface learning via low-dimensional control.bioRxiv : the preprint server for biology · 2025Article
- Neurotechnology for enhancing human operation of robotic and semi-autonomous systems.Frontiers in robotics and AI · 2025Review
- Event detection and classification from multimodal time series with application to neural data.Journal of neural engineering · 2024Article
- Real-time analysis of large-scale neuronal imaging enables closed-loop investigation of neural dynamics.Nature neuroscience · 2024Article
- Learning leaves a memory trace in motor cortex.Current biology : CB · 2024Article
- Multimodal subspace identification for modeling discrete-continuous spiking and field potential population activity.Journal of neural engineering · 2024Article
- Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement.iScience · 2023Article
- Distinct neural representations during a brain-machine interface and manual reaching task in motor cortex, prefrontal cortex, and striatum.Scientific reports · 2023Article
- Invariant neural dynamics drive commands to control different movements.Current biology : CB · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Sensorimotor control engages cognitive processes such as prediction, learning, and multisensory integration. Understanding the neural mechanisms underlying these cognitive processes with arm reaching is challenging because we currently record only a fraction of the relevant neurons, the arm has nonlinear dynamics, and multiple modalities of sensory feedback contribute to control. A brain-computer interface (BCI) is a well-defined sensorimotor loop with key simplifying advantages that address each of these challenges, while engaging similar cognitive processes. As a result, BCI is becoming recognized as a powerful tool for basic scientific studies of sensorimotor control. Here, we describe the benefits of BCI for basic scientific inquiries and review recent BCI studies that have uncovered new insights into the neural mechanisms underlying sensorimotor control.
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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.