ArticleIEEE transactions on biomedical circuits and systems2018
A 250 μm × 57 μm Microscale Opto-electronically Transduced Electrodes (MOTEs) for Neural Recording.
Article in IEEE transactions on biomedical circuits and systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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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.
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Who cites it
33 citing papers in PubMed.
- Multitarget neurostimulation of the deep brain: clinical opportunities, challenges, and emerging technologies.Journal of neural engineering · 2025Review
- NeuroFlare: An mmIEEE journal of solid-state circuits · 2025Article
- Electrokinetic propulsion for electronically integrated microscopic robots.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A subnanolitre tetherless optoelectronic microsystem for chronic neural recording in awake mice.Nature electronics · 2025Article
- Patterned electrical brain stimulation by a wireless network of implantable microdevices.Nature communications · 2024Article
- Advances in Brain Stimulation, Nanomedicine and the Use of Magnetoelectric Nanoparticles: Dopaminergic Alterations and Their Role in Neurodegeneration and Drug Addiction.Molecules (Basel, Switzerland) · 2024Review
- Wireless closed-loop deep brain stimulation using microelectrode array probes.Journal of Zhejiang University. Science. B · 2024Review
- Minimally invasive power sources for implantable electronics.Exploration (Beijing, China) · 2024Review
- Colloidal robotics.Nature materials · 2023Review
- Advances in Bioresorbable Triboelectric Nanogenerators.Chemical reviews · 2023Review
- Wireless and battery-free technologies for neuroengineering.Nature biomedical engineering · 2023Review
- Technology Roadmap for Flexible Sensors.ACS nano · 2023Review
- Bioelectronic devices for light-based diagnostics and therapies.Biophysics reviews · 2023Review
- A wireless millimetric magnetoelectric implant for the endovascular stimulation of peripheral nerves.Nature biomedical engineering · 2022Article
- A Light-Tolerant Wireless Neural Recording IC for Motor Prediction With Near-Infrared-Based Power and Data Telemetry.IEEE journal of solid-state circuits · 2022Article
- A Micromechanical Transmitter with Only One BAW Magneto-Electric Antenna.Micromachines · 2022Article
- Integrated Micro-Devices for a Lab-in-Organoid Technology Platform: Current Status and Future Perspectives.Frontiers in neuroscience · 2022Article
- Chronic stability of activated iridium oxide film voltage transients from wireless floating microelectrode arrays.Frontiers in neuroscience · 2022Article
- Recent advances in recording and modulation technologies for next-generation neural interfaces.iScience · 2021Review
- A flexible, stretchable system for simultaneous acoustic energy transfer and communication.Science advances · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Recording neural activity in live animals in vivo with minimal tissue damage is one of the major barriers to understanding the nervous system. This paper presents the technology for a tetherless opto-electronic neural interface based on 180 nm CMOS circuits, heterogeneously integrated with an AlGaAs diode that functions as both a photovoltaic and light emitting diode. These microscale opto-electrically transduced electrodes (MOTEs) are powered by and communicate through an optical interface, simultaneously enabling high temporal-resolution electrical measurements without a tether or a bulky RF coil. The MOTE presented here is 250 μm × 57 μm, consumes 1 μW of electrical power, and is capable of capturing and encoding neural signals before transmitting the encoded signals. The measured noise floor is as low as 15 μV
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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.