ReviewFrontiers in neuroscience2014
Errare machinale est: the use of error-related potentials in brain-machine interfaces.
Review in Frontiers in neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.
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Who cites it
93 citing papers in PubMed.
- A portable closed-loop platform enabling cortical evoked potential operant conditioning: system development and validation of target intensity estimation.Biomedical physics & engineering express · 2026Article
- Closed-loop error damping in human BCI using pre-error motor cortex activity.bioRxiv : the preprint server for biology · 2026Article
- Methodological optimization for eliciting robust median nerve somatosensory evoked potentials for realtime single trial applications.Journal of neural engineering · 2026Article
- A portable cortical evoked potential operant conditioning system (C-EPOCS): System development.bioRxiv : the preprint server for biology · 2026Article
- A dexterous soft hand exoskeleton restores intentional grasping in individuals with severe hand impairment.Nature machine intelligence · 2026Article
- Error-related potentials detection to enhance human-robot collaboration: a mini review.Frontiers in neuroergonomics · 2026Review
- Characterization of error-related potentials during the command of a lower-limb exoskeleton based on deep learning.Journal of neuroengineering and rehabilitation · 2025Article
- Comparison of Classifier Calibration Schemes for Movement Intention Detection in Individuals with Cerebral Palsy for Inducing Plasticity with Brain-Computer Interfaces.Sensors (Basel, Switzerland) · 2025Article
- Error-related potentials in EEG signals: feature-based detection for human-robot interaction.Scientific reports · 2025Article
- Explainability and importance estimate of time series classifier via embedded neural network.Scientific reports · 2025Article
- Detecting unacceptable behavior of an autonomous vehicle using electroencephalography.Scientific reports · 2025Article
- Extracting robust single-trial somatosensory evoked potentials for non-invasive brain computer interfaces.Journal of neural engineering · 2025Article
- A role for preparatory midfrontal theta in autism as revealed by a high executive load brain-computer interface reverse spelling task.Scientific reports · 2025Article
- Event-related potentials reveal incongruent behavior of autonomous vehicles in the moral machine dilemma.Scientific reports · 2025Article
- Real-Time Mobile Robot Obstacles Detection and Avoidance Through EEG Signals.Brain sciences · 2025Article
- Master classes of the tenth international brain-computer interface meeting: showcasing the research of BCI trainees.Journal of neural engineering · 2025Article
- Electroencephalography signatures of motor error and stimulus-driven attention in electrical muscle stimulation-induced wrist movements under motor imagery.Frontiers in human neuroscience · 2025Article
- Decoding the brain-machine interaction for upper limb assistive technologies: advances and challenges.Frontiers in human neuroscience · 2025Review
- Error-related potentials during multitasking involving sensorimotor control: an ERP and offline decoding study for brain-computer interface.Frontiers in human neuroscience · 2025Article
- Hybrid brain-computer interface using error-related potential and reinforcement learning.Frontiers in human neuroscience · 2025Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability to recognize errors is crucial for efficient behavior. Numerous studies have identified electrophysiological correlates of error recognition in the human brain (error-related potentials, ErrPs). Consequently, it has been proposed to use these signals to improve human-computer interaction (HCI) or brain-machine interfacing (BMI). Here, we present a review of over a decade of developments toward this goal. This body of work provides consistent evidence that ErrPs can be successfully detected on a single-trial basis, and that they can be effectively used in both HCI and BMI applications. We first describe the ErrP phenomenon and follow up with an analysis of different strategies to increase the robustness of a system by incorporating single-trial ErrP recognition, either by correcting the machine's actions or by providing means for its error-based adaptation. These approaches can be applied both when the user employs traditional HCI input devices or in combination with another BMI channel. Finally, we discuss the current challenges that have to be overcome in order to fully integrate ErrPs into practical applications. This includes, in particular, the characterization of such signals during real(istic) applications, as well as the possibility of extracting richer information from them, going beyond the time-locked decoding that dominates current approaches.
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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.