Systems and methods for feedback-based audio/visual neural stimulation

Abstract

A system comprises a memory, an input device, an output device, and one or more processers. The memory stores weights for a machine learning model. The weights are trained on a training data of a training set. The training data includes patient attributes, types of stimulation, and measured brain response signals. The input device is configured to receive one or more attributes of a patient. The output device is configured to output at least one of audio or visual stimulation of the patient. The one or more processors are configured to determine a type of stimulation for providing to the patent, by applying the one or more attributes to the machine learning model, and transmit generate a control signal for the output device, to cause the output device to output the type of stimulation to the patient.

Dependencies are inferred from the claim text.