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Intelligent Wireless Systems for Closed-Loop Electrophysiology and Optogenetics: From Brain Circuits to the Spinal Cord| title | Intelligent Wireless Systems for Closed-Loop Electrophysiology and Optogenetics: From Brain Circuits to the Spinal Cord |
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| start_date | 2026/05/18 |
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| schedule | 11h30 |
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| online | no |
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| location_info | nc |
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| summary | Recent advances in implantable neurotechnologies are enabling a new generation of intelligent systems for real-time, closed-loop neuromodulation in freely behaving animals. A central challenge in this context is to achieve high-fidelity neural interfacing while maintaining low latency, minimal invasiveness, and experimental conditions compatible with natural behavior.
To address these challenges, our group has developed fully wireless, ultra-miniaturized headstages integrating electrophysiological recording, optogenetic stimulation, and on-chip processing with embedded machine learning. These systems rely on custom CMOS system-on-chips capable of action potential detection, sorting, and compression, enabling local decision-making and significantly reducing the need for continuous high-bandwidth data transmission. This architecture supports long-term neural interfacing with sub-millisecond latency (≤0.6 ms) in unrestrained animals.
To further enable continuous and autonomous experimentation, we have engineered an inductive charging home-cage platform that allows uninterrupted operation and data acquisition over multiple days without animal handling. This approach enables the study of neural circuits with cellular resolution under naturalistic behavioral conditions, opening new avenues for adaptive and automated neuroscience experiments.
Building on this platform, we are extending closed-loop neuromodulation strategies beyond the brain to the spinal cord. In particular, we are developing a fully optical, 3D-printed spinal interface that combines fluorescence-based neural activity sensing with targeted optogenetic inhibition. By leveraging the same wireless and embedded AI architecture, this system aims to enable selective and artifact-free feedback control of spinal nociceptive circuits for chronic pain research.
Preliminary closed-loop electrophysiological experiments in rodent models validate the feasibility of real-time feedback modulation and inform the ongoing development of the optical spinal implant. |
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| responsibles | NC |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2026/05/11 09:21 UTC |
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