A Scalable Real-Time Architecture for Neural Oscillation Detection and Phase-Specific Stimulation
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by
Christopher Thomas, Thilo Womelsdorf
2020
Abstract
Oscillations in the local field potential (LFP) of the brain are key
signatures of neural information processing. Perturbing these oscillations at
specific phases in order to alter neural information processing is an area of
active research. Existing systems for phase-specific brain stimulation
typically either do not offer real-time timing guarantees (desktop computer
based systems) or require extensive programming of vendor-specific equipment.
This work presents a real-time detection system architecture that is
platform-agnostic and that scales to thousands of recording channels, validated
using a proof-of-concept microcontroller-based implementation.
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