ArticleCell reports. Medicine2023
Autonomous optimization of neuroprosthetic stimulation parameters that drive the motor cortex and spinal cord outputs in rats and monkeys.
Article in Cell reports. Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 38 citations in OpenAlex.
- Spinal cord stimulation modulates post-synaptic inhibition to improve arm neuromotor control after chronic stroke.Cell reports. Medicine · 2026Article
- Bayesian-enhanced closed-loop optimization of ultrasound protocols for targeted and precise neuromodulation.bioRxiv : the preprint server for biology · 2026Article
- The optimization of neuroprosthetic interfaces relying on biophysical and surrogate digital twins.npj biomedical innovations · 2026Review
- Perilesional neuromodulation replaces lost sensorimotor function in persons with spinal cord injury.Nature biomedical engineering · 2026Article
- OP-GLX: A MATLAB Toolbox for Online Processing and Plotting of Neuropixels Data Acquired with SpikeGLX.bioRxiv : the preprint server for biology · 2026Article
- Improving muscle recruitment via multi-electrode transcutaneous spinal cord stimulation using automated selectivity-driven algorithms.APL bioengineering · 2026Article
- Repurposing of Chemokine Antagonists for Combined Phase-Resolved Spinal Cord Injury Treatment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Real-time Bayesian optimization of deep brain stimulation for personalized cognitive control enhancement.bioRxiv : the preprint server for biology · 2025Article
- Combining cortical and spinal stimulation maximizes the improvement of gait after spinal cord injury.iScience · 2025Article
- Spinal cord stimulation modulates post-synaptic inhibition improving neuromotor control of arm movement in people with chronic hemiparesis post-stroke.medRxiv : the preprint server for health sciences · 2025Article
- Loss of RhoA in microglia disables glycolytic adaptation and impairs spinal cord injury recovery through Arhgap25/HIF-1α pathway.Cell death & disease · 2025Article
- Transcutaneous stimulation of the cervical spinal cord facilitates motoneuron firing and improves hand-motor function after spinal cord injury.Journal of neurophysiology · 2025Article
- Failure modes and mitigations for Bayesian optimization of neuromodulation parameters.Journal of neural engineering · 2025Review
- Micropillars in Cell Mechanobiology: Design, Fabrication, Characterization, and Biosensing Applications.Small science · 2025Review
- An active electronic, high-density epidural paddle array for chronic spinal cord neuromodulation.Journal of neural engineering · 2025Article
- Inkjet-printed transparent electrodes: Design, characterization, and initial in vivo evaluation for brain stimulation.PloS one · 2025Article
- Towards Precise Synthetic Neural Codes: High-dimensional Stimulation with Flexible Electrodes.Npj flexible electronics · 2025Article
- Differential Modulation of Local Field Potentials in the Primary and Premotor Cortices during Ipsilateral and Contralateral Reach to Grasp in Macaque Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Peak Slope Ratio of the Recruitment Curves Compared to Muscle Evoked Potentials to Optimize Standing Configurations with Percutaneous Epidural Stimulation after Spinal Cord Injury.Journal of clinical medicine · 2024Article
- Personalized strategies of neurostimulation: from static biomarkers to dynamic closed-loop assessment of neural function.Frontiers in neuroscience · 2024Review
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neural stimulation can alleviate paralysis and sensory deficits. Novel high-density neural interfaces can enable refined and multipronged neurostimulation interventions. To achieve this, it is essential to develop algorithmic frameworks capable of handling optimization in large parameter spaces. Here, we leveraged an algorithmic class, Gaussian-process (GP)-based Bayesian optimization (BO), to solve this problem. We show that GP-BO efficiently explores the neurostimulation space, outperforming other search strategies after testing only a fraction of the possible combinations. Through a series of real-time multi-dimensional neurostimulation experiments, we demonstrate optimization across diverse biological targets (brain, spinal cord), animal models (rats, non-human primates), in healthy subjects, and in neuroprosthetic intervention after injury, for both immediate and continual learning over multiple sessions. GP-BO can embed and improve "prior" expert/clinical knowledge to dramatically enhance its performance. These results advocate for broader establishment of learning agents as structural elements of neuroprosthetic design, enabling personalization and maximization of therapeutic effectiveness.
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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.