Neural Signal Analysis
Methods for identifying meaningful patterns in EEG, neural, and biological signals.
Our platform combines neural signal analysis, predictive methods, real-time processing, and applied AI to turn complex data into useful decisions and actions.
Methods for identifying meaningful patterns in EEG, neural, and biological signals.
Models designed to identify emerging events and state changes before conventional detection.
Classification and feature extraction from noisy, high-dimensional, time-varying data.
Efficient algorithmic approaches for time-sensitive, device-level, and operational applications.
Adaptive models that learn from complex real-world data and support decision making.
Algorithms designed with practical product integration and operational constraints in mind.
DATAPLASTICITY develops neural-signal technologies with potential applications in epilepsy monitoring, seizure prediction, responsive neurostimulation, implanted neural interfaces, and next-generation neurological devices.