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Uses steady-state visually evoked potentials (SSVEPs) as endogenous reference signals for cross-session EEG calibration.
Creates a subject-specific linear mapping that aligns raw EEG recordings to a common neural baseline.
Reduces the impact of session dependent recording differences to support consistent longitudinal EEG analysis.
Abstract
This...
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Neurological disorder treatment
Mental health treatment
Neuroscience research
Abstract
USC researchers have developed preferential subspace identification (PSID), an innovative algorithm designed to model neural activity while prioritizing behaviorally relevant dynamics. In experiments with two monkeys performing reach and grasp tasks, PSID revealed...
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Neuroscience research
Treatment of mental disorders, including depression, anxiety, and addiction
Abstract
USC researchers have developed a geometric paradigm for nonlinear dynamic modeling and closed-loop control of neural population activity and related mental states. Based on modeling the low-dimensional nonlinear geometric space of neural population...
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Closed-loop brain stimulation for neurological disorders
Abstract
USC researchers have developed a technique to identify time-variant linear state-space models (SSMs), as well as an adaptive identification algorithm to calculate-variant SSMs and track non-stationarity in brain network dynamics. This method will allow for improved closed-loop electrical...
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Deep brain stimulation for conditions including Parkinson's disease, epilepsy, and major depression
Abstract
USC researchers have developed a technique for efficiently identifying input-output dynamics in brain networks to improve closed-loop stimulation systems and BMIs. Utilizing a Generalized Binary Noise (GBN) modulated stimulation pattern,...
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Anesthesia management
Anesthesia delivery
Abstract
USC researchers have developed a brain-machine interface (BMI) that can automate drug delivery with precision and enable more efficient control of anesthetics. This adaptive algorithm delivers a drug based on real-time feedback of a patient’s EEG activity. The BMI takes the neural recordings...
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