ReviewNature communications2024
Neuromorphic hardware for somatosensory neuroprostheses.
Review in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed, 91 citations in OpenAlex.
- Integrating neural decoding, memristive materials, and adaptive control frameworks for next-generation hippocampal memory prosthetics.iScience · 2026Review
- Trends in neuroprosthetic technologies to restore sensations.Biomedical engineering letters · 2026Review
- Toward High-Resolution Polymeric Neural Interfaces: A Practical Guide for Electron Beam Lithography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Spinal-inspired artificial tactile interneuron with high-order burst spiking for intelligent edge interfaces.Nature communications · 2026Article
- Decoding Overlapping Lower-Limb Afferent Pathways from Human Epidural Spinal Recordings.Research square · 2026Article
- Advances in neuroprostheses: interfaces, materials, and applications.Nano convergence · 2026Review
- Neuromorphic Technologies for Neuroengineering: From Adaptive Stimulation to SNN-Based Inference and Deployable Biointerfaces.Sensors (Basel, Switzerland) · 2026Review
- Spatiotemporal encoding of touch signals in the human somatosensory and motor cortices.bioRxiv : the preprint server for biology · 2026Article
- Modulation of place cells using targeted stimulation with bidirectional microelectrode arrays enhances spatial learning speed in mice.Fundamental research · 2026Article
- Self-Powered Neuromorphic Touch Sensors Based on Triboelectric Devices: Current Approaches and Open Challenges.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Advancing neuroengineering with Neuromorphic Twins.Nature communications · 2026Review
- Ultrafast visual perception beyond human capabilities enabled by motion analysis using synaptic transistors.Nature communications · 2026Article
- Decoding phantom limb movements from intraneural recordings.Nature communications · 2026Article
- Materials and System Design for Self-Decision Bioelectronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Bioinspired spiking architecture enables energy constrained touch encoding.Nature communications · 2026Article
- Decision-centered wearable biosensors for personalized rehabilitation: integrating multimodal monitoring, artificial intelligence, and closed-loop intervention.Frontiers in bioengineering and biotechnology · 2026Review
- Active Rehabilitation Technologies for Post-Stroke Patients.Biosensors · 2025Review
- Recent advances in spike-based neural coding for tactile perception.Microsystems & nanoengineering · 2025Review
- Can neuromorphic computing help reduce AI's high energy cost?Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Toward Natural Limb Function: A New Era in Prosthetic Innovation.Annals of neurology · 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
2 authors at 2 institutions in 2 countries.
Funding
Abstract
In individuals with sensory-motor impairments, missing limb functions can be restored using neuroprosthetic devices that directly interface with the nervous system. However, restoring the natural tactile experience through electrical neural stimulation requires complex encoding strategies. Indeed, they are presently limited in effectively conveying or restoring tactile sensations by bandwidth constraints. Neuromorphic technology, which mimics the natural behavior of neurons and synapses, holds promise for replicating the encoding of natural touch, potentially informing neurostimulation design. In this perspective, we propose that incorporating neuromorphic technologies into neuroprostheses could be an effective approach for developing more natural human-machine interfaces, potentially leading to advancements in device performance, acceptability, and embeddability. We also highlight ongoing challenges and the required actions to facilitate the future integration of these advanced technologies.
Indexed as
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.