ArticleNature biomedical engineering2020
Power-saving design opportunities for wireless intracortical brain-computer interfaces.
Article in Nature biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Advancing data protections for implantable brain-computer interfaces.Communications medicine · 2026Review
- Spiking neural network decoders of finger forces from high-density intramuscular microelectrode arrays.Nature communications · 2026Article
- A Framework for Compressive On-Chip Action Potential Recording.IEEE transactions on bio-medical engineering · 2026Article
- NeuroGator: A Low-Power Gating System for Asynchronous BCI Based on LFP Brain State Estimation.Brain sciences · 2026Article
- A Scalable 1024-Channel Ultra-Low-Power Spike Sorting Chip with Event-Driven Detection and Spatial Clustering.IEEE journal of solid-state circuits · 2025Article
- A wearable deep brain stimulation system for behavioral studies in rodents.Frontiers in neuroscience · 2025Article
- In vivo microelectrode arrays for neuroscience.Nature reviews. Methods primers · 2025Article
- Review on Carbon-Based Micro and Nano Electro-Mechanical Systems for Biotechnological Application.Recent patents on nanotechnology · 2025Review
- Non-Invasive Brain-Computer Interfaces: State of the Art and Trends.IEEE reviews in biomedical engineering · 2025Review
- Reducing power requirements for high-accuracy decoding in iBCIs.Journal of neural engineering · 2024Article
- Single-trial detection of auditory cues from the rat brain using memristors.Science advances · 2024Article
- A 1024-Channel 268 nW/pixel 36×36IEEE journal of solid-state circuits · 2024Article
- Machine learning-based high-frequency neuronal spike reconstruction from low-frequency and low-sampling-rate recordings.Nature communications · 2024Article
- Dynamical flexible inference of nonlinear latent factors and structures in neural population activity.Nature biomedical engineering · 2024Article
- Biohybrid neural interfaces: improving the biological integration of neural implants.Chemical communications (Cambridge, England) · 2023Review
- Data Compression Versus Signal Fidelity Tradeoff in Wired-OR Analog-to-Digital Compressive Arrays for Neural Recording.IEEE transactions on biomedical circuits and systems · 2023Article
- A brain-computer typing interface using finger movements.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2023Article
- Comparative analysis of energy transfer mechanisms for neural implants.Frontiers in neuroscience · 2023Review
- Stretchable Surface Electrode Arrays Using an Alginate/PEDOT:PSS-Based Conductive Hydrogel for Conformal Brain Interfacing.Polymers · 2022Article
- An epifluidic electronic patch with spiking sweat clearance for event-driven perspiration monitoring.Nature communications · 2022Article
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7 authors.
Funding
Abstract
The efficacy of wireless intracortical brain-computer interfaces (iBCIs) is limited in part by the number of recording channels, which is constrained by the power budget of the implantable system. Designing wireless iBCIs that provide the high-quality recordings of today's wired neural interfaces may lead to inadvertent over-design at the expense of power consumption and scalability. Here, we report analyses of neural signals collected from experimental iBCI measurements in rhesus macaques and from a clinical-trial participant with implanted 96-channel Utah multielectrode arrays to understand the trade-offs between signal quality and decoder performance. Moreover, we propose an efficient hardware design for clinically viable iBCIs, and suggest that the circuit design parameters of current recording iBCIs can be relaxed considerably without loss of performance. The proposed design may allow for an order-of-magnitude power savings and lead to clinically viable iBCIs with a higher channel count.
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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.