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Oscillations in the local field potential (LFP) of the brain are keysignatures of neural information processing. Perturbing these oscillations atspecific phases in order to alter neural information processing is an area ofactive research. Existing systems for phase-specific brain stimulationtypically either do not offer real-time timing guarantees (desktop computerbased systems) or require extensive programming of vendor-specific equipment.This work presents a real-time detection system architecture that isplatform-agnostic and that scales to thousands of recording channels, validatedusing a proof-of-concept microcontroller-based implementation.

A Scalable Real-Time Architecture for Neural Oscillation Detection and Phase-Specific Stimulation