ReviewCurrent opinion in neurobiology2014
Brain-computer interfaces: a powerful tool for scientific inquiry.
Review in Current opinion in neurobiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brain Neuroplasticity Leveraging Virtual Reality and Brain-Computer Interface Technologies.Sensors (Basel, Switzerland) · 2024Pooled it
- Brain-computer interfaces as a causal probe for scientific inquiry.Trends in cognitive sciences · 2026Review
- AnFrontiers in neuroscience · 2023Article
- Extracellular voltage thresholds for maximizing information extraction in primate auditory cortex: implications for a brain computer interface.Journal of neural engineering · 2021Article
- The Potential of Stereotactic-EEG for Brain-Computer Interfaces: Current Progress and Future Directions.Frontiers in neuroscience · 2020Review
- Learning active sensing strategies using a sensory brain-machine interface.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Towards neural co-processors for the brain: combining decoding and encoding in brain-computer interfaces.Current opinion in neurobiology · 2019Review
- Direct Electrical Stimulation in Electrocorticographic Brain-Computer Interfaces: Enabling Technologies for Input to Cortex.Frontiers in neuroscience · 2019Review
- Analysis of a poly(ε-decalactone)/silver nanowire composite as an electrically conducting neural interface biomaterial.BMC biomedical engineering · 2019Article
- Article
- Parsing learning in networks using brain-machine interfaces.Current opinion in neurobiology · 2017Review
- State-Dependent Decoding Algorithms Improve the Performance of a Bidirectional BMI in Anesthetized Rats.Frontiers in neuroscience · 2017Article
- From Nose to Brain: Un-Sensed Electrical Currents Applied in the Nose Alter Activity in Deep Brain Structures.Cerebral cortex (New York, N.Y. : 1991) · 2016Article
- Cortico-Cortical Interactions during Acquisition and Use of a Neuroprosthetic Skill.PLoS computational biology · 2016Article
- Brain-computer interfaces for dissecting cognitive processes underlying sensorimotor control.Current opinion in neurobiology · 2016Review
- Comparison of subdural and subgaleal recordings of cortical high-gamma activity in humans.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2016Article
- A Bidirectional Brain-Machine Interface Featuring a Neuromorphic Hardware Decoder.Frontiers in neuroscience · 2016Article
- Intracortical Brain-Machine Interfaces Advance Sensorimotor Neuroscience.Frontiers in neuroscience · 2016Review
- Computing Arm Movements with a Monkey Brainet.Scientific reports · 2015Article
- Neural correlates of learning in an electrocorticographic motor-imagery brain-computer interface.Brain computer interfaces (Abingdon, England) · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Brain-computer interfaces (BCIs) are devices that record from the nervous system, provide input directly to the nervous system, or do both. Sensory BCIs such as cochlear implants have already had notable clinical success and motor BCIs have shown great promise for helping patients with severe motor deficits. Clinical and engineering outcomes aside, BCIs can also be tremendously powerful tools for scientific inquiry into the workings of the nervous system. They allow researchers to inject and record information at various stages of the system, permitting investigation of the brain in vivo and facilitating the reverse engineering of brain function. Most notably, BCIs are emerging as a novel experimental tool for investigating the tremendous adaptive capacity of the nervous system.
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What OpenQuestion holds
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.