Brown University

Braingate Co., LLC

The General Hospital Corporation

The United States Government As Represented by the Department of Veterans Affairs

John Philip Donoghue

J Christopher Flaherty

Mijail Demian Serruya

Abraham H Caplan

Maryam Saleh

Nicholas George Hatsopoulos

Ian W Hunter

William Robert Patterson

Timothy A Fofonoff

Arto V Nurmikko

Sylvain Martel

Almut Branner

Daniel S Morris

Liam Paninski

Robert J Dyer

Wilson Truccolo

Leigh R Hochberg

Kirk F Korver

Sydney S Cash

Matthew Richard Fellows

Several methods for prediction and detection of neurological events are proposed based on spatiotemporal patterns in recorded neural signals. The methods are illustrated with examples from neural data recorded from human and non-human primates.

Methods for prediction and early detection of neurological events

A system and method for a neural interface system with integral calibration elements may include a sensor including a plurality of electrodes to detect multicellular signals, an interface to process the signals from the sensor into a suitable control signal for a controllable device, such as a computer or prosthetic limb, and an integrated calibration routine to efficiently create calibration output parameters used to generate the control signal. A graphical user interface may be used to make various portions of the calibration and signal processing configuration more efficient and effective.

Calibration systems and methods for neural interface devices

Various embodiments of a biological interface system and related methods are disclosed. The system may comprise a sensor comprising a plurality of electrodes for detecting multicellular signals emanating from one or more living cells of a patient and a processing unit configured to receive the multicellular signals from the sensor and process the multicellular signals to produce a processed signal. The processing unit may be configured to transmit the processed signal to a controlled device that is configured to receive the processed signal. The system is configured to perform an integrated patient training routine to generate one or more system configuration parameters that are used by the processing unit to produce the processed signal.

Patient training routine for biological interface system

A system using neurological control signals to control a device is disclosed. The system may include a sensor sensing electrical activity of a plurality of neurons over time and a vector generator generating a neural control vector from the sensed electrical activity of the plurality of neurons over time. The system may also include a control filter to which the neural control vector is applied to provide a control variable and an output device controlled by the control variable.

Neurological signal decoding

According to embodiments of the invention, one or more implants in a body may be connected with optical fibers for transmitting data and/or power to or from the implants. Aspects of the invention related to various embodiments of the actual implant as well as to various embodiments for connecting optical fibers to the implants.

Optically-connected implants and related systems and methods of use

A brain implant system consistent with embodiments of the present invention includes an electrode array having a plurality of electrodes for sensing neuron signals. A method for manufacturing the electrode array includes machining a piece of an electrically conductive substance to create a plurality of electrodes extending from a base member. Each electrode also has a corresponding base section. A nonconductive layer is provided around at least a portion of the base section of each electrode to support the plurality of electrodes. The base section of the electrodes are then cut to separate the base member from the plurality of electrodes supported by the nonconductive support layer. The present invention also includes a complete brain implant system using the above electrode array.

Microstructured arrays for cortex interaction and related methods of manufacture and use

Growing community of inventors

Providence, RI, United States of America

John Philip Donoghue