Ai-powered neuroplasticity via wearable and embedded brain interfaces

A method for modulating neural activity in a subject, comprising:

• acquiring electrophysiological signals from the subject using a neural interface;
• inputting the electrophysiological signals into a machine learning model executed by a processor;
• identifying one or more neural activity patterns associated with a target neural state;
• generating stimulation parameters based on the identified neural activity patterns;
• delivering stimulation to the subject using a stimulation module;
• and
• updating the stimulation parameters in real time based on feedback from subsequent electrophysiological signals.

A system for modulating neural activity comprising:

• a neural interface;
• a processor;
• a machine learning and Physics-AI model;
• a stimulation module;
• a plurality of nanobots configured to deliver flexible electrode structures;
• wherein the Physics-AI model represents neural activity as a dynamical system;
• wherein the processor computes a target neural activity state;
• and
• wherein stimulation is applied to induce said state.

A method comprising:

• modeling neural activity;
• simulating drug interaction;
• and
• predicting neural response.