ReviewCyborg and bionic systems (Washington, D.C.)2023
Neural Decoding for Intracortical Brain-Computer Interfaces.
Review in Cyborg and bionic systems (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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
25 citing papers in PubMed, 66 citations in OpenAlex.
- Cortico-basal oscillations index naturalistic movements during deep brain stimulation.Brain : a journal of neurology · 2026Article
- Advancing data protections for implantable brain-computer interfaces.Communications medicine · 2026Review
- Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Advances in neuroprostheses: interfaces, materials, and applications.Nano convergence · 2026Review
- Review of Recent Advances in Implantable Brain-Computer Interfaces for the Restoration of Motor Function in Patients With Paralysis.Medical science monitor : international medical journal of experimental and clinical research · 2026Review
- Neuroscience-Inspired Deep Learning Brain-Machine Interface Decoder.Bioengineering (Basel, Switzerland) · 2026Article
- Multilevel white matter degeneration associated cognitive dysfunction in mild cognitive impairment.Molecular psychiatry · 2026Article
- NeuroGator: A Low-Power Gating System for Asynchronous BCI Based on LFP Brain State Estimation.Brain sciences · 2026Article
- Hemispheric Asymmetry in the Genetic Overlap between Schizophrenia and White Matter Microstructure.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- A theoretical framework for brain-computer interfaces: decodability, performance limits, and closed-loop adaptation.Frontiers in human neuroscience · 2026Article
- Bidirectional cross-day alignment of neural spikes and behavior using a hybrid SNN-ANN algorithm.Frontiers in neuroscience · 2026Article
- A Domain Generalization Method for EEG Based on Domain-Invariant Feature and Data Augmentation.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Electroencephalography Enables Continuous Decoding of Hand Motion Angles in Polar Coordinates.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Impaired glymphatic function in relation to cumulative blood glucose exposure: A population-based cohort study.IBRO neuroscience reports · 2025Article
- Cutting-edge technologies in neural regeneration.Cell regeneration (London, England) · 2025Review
- Evolutionary Trajectories of Consciousness: From Biological Foundations to Technological Horizons.Brain sciences · 2025Review
- Degradation-aware neural imputation: Advancing decoding stability in brain machine interfaces.APL bioengineering · 2025Article
- xDev: a mixed-signal, software-defined neurotechnology interface platform for accelerated system development.Journal of neural engineering · 2025Article
- Enhanced visibility graph for EEG classification.Frontiers in neuroscience · 2025Article
- Electrode Arrays for Detecting and Modulating Deep Brain Neural Information in Primates: A Review.Cyborg and bionic systems (Washington, D.C.) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-computer interfaces have revolutionized the field of neuroscience by providing a solution for paralyzed patients to control external devices and improve the quality of daily life. To accurately and stably control effectors, it is important for decoders to recognize an individual's motor intention from neural activity either by noninvasive or intracortical neural recording. Intracortical recording is an invasive way of measuring neural electrical activity with high temporal and spatial resolution. Herein, we review recent developments in neural signal decoding methods for intracortical brain-computer interfaces. These methods have achieved good performance in analyzing neural activity and controlling robots and prostheses in nonhuman primates and humans. For more complex paradigms in motor rehabilitation or other clinical applications, there remains more space for further improvements of decoders.
Identifiers
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.