ArticleIEEE solid-state circuits letters2023
A 16-Channel Low-Power Neural Connectivity Extraction and Phase-Locked Deep Brain Stimulation SoC.
Article in IEEE solid-state circuits letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Real-Time Multi-Channel Epileptic Seizure Detection Exploiting an Ultra-Low-Complexity Algorithm-Hardware Co-Design Approach.Sensors (Basel, Switzerland) · 2025Article
- A Compact Low-Power Chopper Low Noise Amplifier for High Density Neural Front-Ends.Sensors (Basel, Switzerland) · 2025Article
- A wearable deep brain stimulation system for behavioral studies in rodents.Frontiers in neuroscience · 2025Article
- Neural decoding and feature selection methods for closed-loop control of avoidance behavior.Journal of neural engineering · 2024Article
- Neural Decoding and Feature Selection Techniques for Closed-Loop Control of Defensive Behavior.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
Growing evidence suggests that phase-locked deep brain stimulation (DBS) can effectively regulate abnormal brain connectivity in neurological and psychiatric disorders. This letter therefore presents a low-power SoC with both neural connectivity extraction and phase-locked DBS capabilities. A 16-channel low-noise analog front-end (AFE) records local field potentials (LFPs) from multiple brain regions with precise gain matching. A novel low-complexity phase estimator and neural connectivity processor subsequently enable energy-efficient, yet accurate measurement of the instantaneous phase and cross-regional synchrony measures. Through flexible combination of neural biomarkers such as phase synchrony and spectral energy, a four-channel charge-balanced neurostimulator is triggered to treat various pathological brain conditions. Fabricated in 65-nm CMOS, the SoC occupies a silicon area of 2.24 mm
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