ReviewCurrent opinion in neurobiology2019
Towards neural co-processors for the brain: combining decoding and encoding in brain-computer interfaces.
Review in Current opinion in neurobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Brain-computer interfaces: innovations and challenges in the field of cerebral palsy rehabilitation.Italian journal of pediatrics · 2026Review
- Towards neuromorphic neurotechnologies: integrating brain-inspired computing with brain-computer interfaces.npj biomedical innovations · 2026Review
- Review
- Fuzzing the brain: automated stress testing for the safety of ML-driven neurostimulation.Journal of neural engineering · 2026Article
- Identifying the factors governing internal state switches during nonstationary sensory decision-making.Nature communications · 2025Article
- Neuroengineering Frontiers: A Selective Review of Neural Interfaces, Brain-Machine Interactions, and Artificial Intelligence in Neurodegenerative Diseases.Applied sciences (Basel, Switzerland) · 2025Article
- Manipulation of neuronal activity by an artificial spiking neural network implemented on a closed-loop brain-computer interface in non-human primates.Journal of neural engineering · 2025Article
- A tough semi-dry hydrogel electrode with anti-bacterial properties for long-term repeatable non-invasive EEG acquisition.Microsystems & nanoengineering · 2025Article
- Emerging Medical Technologies and Their Use in Bionic Repair and Human Augmentation.Bioengineering (Basel, Switzerland) · 2024Review
- Human local field potentials in motor and non-motor brain areas encode upcoming movement direction.Communications biology · 2024Article
- Brain-Computer Interfaces in Neurorecovery and Neurorehabilitation.Seminars in neurology · 2021Article
- Neurotechnology ethics and relational agency.Philosophy compass · 2021Article
- Projections and the Potential Societal Impact of the Future of Neurotechnologies.Frontiers in neuroscience · 2021Review
- Bacomics: a comprehensive cross area originating in the studies of various brain-apparatus conversations.Cognitive neurodynamics · 2020Review
- Bioelectrical understanding and engineering of cell biology.Journal of the Royal Society, Interface · 2020Article
- Brain at Work and in Everyday Life as the Next Frontier: Grand Field Challenges for Neuroergonomics.Frontiers in neuroergonomics · 2020Article
- Optimizing Computer-Brain Interface Parameters for Non-invasive Brain-to-Brain Interface.Frontiers in neuroinformatics · 2020Article
- Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation.Frontiers in neuroscience · 2019Article
- Direct Electrical Stimulation in Electrocorticographic Brain-Computer Interfaces: Enabling Technologies for Input to Cortex.Frontiers in neuroscience · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The field of brain-computer interfaces is poised to advance from the traditional goal of controlling prosthetic devices using brain signals to combining neural decoding and encoding within a single neuroprosthetic device. Such a device acts as a 'co-processor' for the brain, with applications ranging from inducing Hebbian plasticity for rehabilitation after brain injury to reanimating paralyzed limbs and enhancing memory. We review recent progress in simultaneous decoding and encoding for closed-loop control and plasticity induction. To address the challenge of multi-channel decoding and encoding, we introduce a unifying framework for developing brain co-processors based on artificial neural networks and deep learning. These 'neural co-processors' can be used to jointly optimize cost functions with the nervous system to achieve desired behaviors ranging from targeted neuro-rehabilitation to augmentation of brain function.
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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.