Self-calibrating neural decoding

A non-transitory computer readable medium comprising one or more sequences of instructions, which, when executed by a processor, causes a computing system to perform operations for recalibrating a neural decoding model, the operations comprising:

• recording, by the computing system, a plurality of time-synced signals from a neural device and a sensor;
• extracting, by the computing system, features from the plurality of time-synced signals, the features relating to a known action;
• retraining, by the computing system, the neural decoding model on the extracted features;
• outputting, by the computing system, a prediction on a probability of the known action occurring using the retrained neural decoding model;
• and
• determining, by the computing system, whether the prediction from the retrained neural decoding model corresponds to the known action according to a predefined quality threshold.