ReviewAnnual review of biomedical engineering2013
Sensors and decoding for intracortical brain computer interfaces.
Review in Annual review of biomedical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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.
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
44 citing papers in PubMed.
- A neuroscientific hypothesis on the physical nature of consciousness.Frontiers in human neuroscience · 2026Article
- A large electroencephalogram database of freewill reaching and grasping tasks for brain machine interfaces.Scientific data · 2025Article
- Measuring instability in chronic human intracortical neural recordings towards stable, long-term brain-computer interfaces.Communications biology · 2024Article
- The Effect of Physical Structural Properties on Electrochemical Properties of Ruthenium Oxide for Neural Stimulating and Recording Electrodes.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Planar amorphous silicon carbide microelectrode arrays for chronic recording in rat motor cortex.Biomaterials · 2024Article
- Update on How to Approach a Patient with Locked-In Syndrome and Their Communication Ability.Brain sciences · 2024Review
- Dynamical flexible inference of nonlinear latent factors and structures in neural population activity.Nature biomedical engineering · 2024Article
- A review on EMG/EEG based control scheme of upper limb rehabilitation robots for stroke patients.Heliyon · 2023Review
- Neural Decoding for Intracortical Brain-Computer Interfaces.Cyborg and bionic systems (Washington, D.C.) · 2023Review
- Identifying Thematics in a Brain-Computer Interface Research.Computational intelligence and neuroscience · 2023Review
- Femtosecond laser hierarchical surface restructuring for next generation neural interfacing electrodes and microelectrode arrays.Scientific reports · 2022Article
- Enhanced magnetic transduction of neuronal activity by nanofabricated inductors quantified via finite element analysis.Journal of neural engineering · 2022Article
- Insertion mechanics of amorphous SiC ultra-micro scale neural probes.Journal of neural engineering · 2022Article
- A Hybrid Titanium-Softmaterial, High-Strength, Transparent Cranial Window for Transcranial Injection and Neuroimaging.Biosensors · 2022Article
- Recruitment and Differential Firing Patterns of Single Units During Conditioning to a Tone in a Mute Locked-In Human.Frontiers in human neuroscience · 2022Article
- Extracellular voltage thresholds for maximizing information extraction in primate auditory cortex: implications for a brain computer interface.Journal of neural engineering · 2021Article
- Power-saving design opportunities for wireless intracortical brain-computer interfaces.Nature biomedical engineering · 2020Article
- Functional Electrical Stimulation Controlled by Motor Imagery Brain-Computer Interface for Rehabilitation.Brain sciences · 2020Article
- Therapeutic hypothermia reduces cortical inflammation associated with utah array implants.Journal of neural engineering · 2020Article
- A neural network for online spike classification that improves decoding accuracy.Journal of neurophysiology · 2020Article
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
Intracortical brain computer interfaces (iBCIs) are being developed to enable people to drive an output device, such as a computer cursor, directly from their neural activity. One goal of the technology is to help people with severe paralysis or limb loss. Key elements of an iBCI are the implanted sensor that records the neural signals and the software that decodes the user's intended movement from those signals. Here, we focus on recent advances in these two areas, placing special attention on contributions that are or may soon be adopted by the iBCI research community. We discuss how these innovations increase the technology's capability, accuracy, and longevity, all important steps that are expanding the range of possible future clinical applications.
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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.