Abstract: A Brain Machine Interface (BMI) agent (110) is provided, that when operatively coupled to a subject during a mental task by the subject to control a prosthetic device (130), monitors one or more states (125) of neural activity of the subject, receives feedback associated with a behavior of the prosthetic device responsive to the control, learns a functional mapping between the mental task and the behavior in view of the feedback, and applies at least one control action (115) to the prosthetic device in accordance with the learning to control the prosthetic device for a targeted behavior.

Abstract: The invention provides a micro-control neuroprosthetic device and methods for predicting and controlling epileptic neuronal activity. The device includes a detection system that detects and collects electrophysiological information comprising action potentials from single neurons and ensembles of neurons in a neural structure such as an epileptogenic region of the brain in a subject. An analysis system included in the neuroprosthetic device evaluates the electrophysiological information and performs a real-time extraction of neuron firing features from which the system determines when stimulus intervention is required. The neuroprosthetic device further comprises a stimulation intervention system that provides stimulus output signals having a desired stimulation frequency and stimulation intensity directly to the neural structure in which abnormal neuronal activity is detected.

Abstract: A Brain Machine Interface (BMI) agent (110) is provided, that when operatively coupled to a subject during a mental task by the subject to control a prosthetic device (130), monitors one or more states (125) of neural activity of the subject, receives feedback associated with a behavior of the prosthetic device responsive to the control, learns a functional mapping between the mental task and the behavior in view of the feedback, and applies at least one control action (115) to the prosthetic device in accordance with the learning to control the prosthetic device for a targeted behavior.

Abstract: A neural probe and method of fabricating same are provided. The probe comprises a plurality of frames connected to each other and to a substrate by respective bimorphs. A probe base is connected by another bimorph to the frames. A probe tip extends from the probe base. The probe can achieve a large vertical motion and out-of-plane curling. The probe can operate according to three modes. The first mode pertains to a large-signal motion for tuning in single-unit neuronal activity. The second pertains to a small-signal motion with lock-in amplifier that increases SNR. The third pertains to burst small-signal motion for clearing tissue responses. Fabrication of a neural probe begins with a processed CMOS chip. Post-CMOS processing incorporates self-aligned selective nickel plating and sacrifices two aluminum layers. The fabrication technique produces a neural probe in which the sensing elements are in close proximity to CMOS circuitry.