The Cleveland Clinic Foundation

Leland Stanford Junior University

University of Michigan

Other

Wisconsin Alumni Research Foundation

Jaimie M Henderson

Cameron C McIntyre

Christopher R Butson

John D Hall

Daryl R Kipke

Jamille Farraye Hetke

Justin C Williams

Krishna V Shenoy

P Charles Garell

Francis Robert Willett

Feng Zhang

Karl A Deisseroth

M Bret Schneider

Sergey Stavisky

Alexander Aravanis

Charles P Garell

Systems and methods for decoding intended symbols from neural activity in accordance with embodiments of the invention are illustrated. One embodiment includes a symbol decoding system for brain-computer interfacing, including a neural signal recorder implanted into a brain of a user, and a symbol decoder, the symbol decoder including a processor, and a memory, where the memory includes a symbol decoding application capable of directing the processor to obtain neural signal data from the neural signal recorder, estimate a symbol from the neural signal data using a symbol model, and perform a command associated with the symbol.

Systems and methods decoding intended symbols from neural activity

Systems and methods for decoding indented speech from neuronal activity in accordance with embodiments of the invention are illustrated. One embodiment includes a neuronal speech system for decoding intended speech from neuronal signals includes a neuronal signal recorder implanted into a user's brain, including a multielectrode array, controller circuitry, and a communication circuitry capable of transmitting data to a neuronal signal decoder, the neuronal signal decoder located externally from the user's body, including a processor, an input/output interface, and a memory, where the memory contains a neuronal speech application that directs the processor to obtain neuronal signal data from the neuronal signal recorder, where the neuronal signal data describes neuronal activity proximal to the implanted neuronal signal recorder, decode speech features from the neuronal signal data using a neuronal decoding model, construct a speech string from the decoded speech features; and output the constructed speech string via an output device.

Systems and methods for decoding intended speech from neuronal activity

Systems and methods for decoding intended symbols from neural activity

This document discusses, among other things, brain stimulation models, systems, devices, and methods, such as for deep brain stimulation (DBS) or other electrical stimulation. In an example, volumetric imaging data representing an anatomical volume of a brain of a patient can be obtained and transformed to brain atlas data. A patient-specific brain atlas can be created using the inverse of the transformation to map the brain atlas data onto the volumetric imaging data and a volume of influence can be calculated using the patient-specific brain atlas. In certain examples, the volume of influence can include a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location.

Method and device for displaying predicted volume of influence

In one example, a system electrically stimulates target cells of a living animal using an elongated structure, a modulation circuit and a light pathway such as provided by an optical fiber arrangement. The elongated structure is for insertion into a narrow passageway in the animal such that an end of the elongated structure is sufficiently near the target cells to deliver stimulation thereto. The modulation circuit is for modulating the target cells while the elongated structure is in the narrow passageway, where the modulation circuit is adapted to deliver viral vectors through the elongated structure for expressing light responsive proteins in the target cells. The light pathway is used for stimulating the target cells by delivering light to the light-responsive proteins in the target cells.

System for electrically stimulating target neuronal cells of a living animal in vivo

Optical tissue interface method and apparatus for stimulating cells

This document discusses, among other things, brain stimulation models, systems, devices, and methods, such as for deep brain stimulation (DBS) or other electrical stimulation. In an example, a target volume of activation (VOA) can be received, a test VOA can be simulated, and at least one of a target electrode location or parameter can be provide using a relationship between the target VOA and the test VOA.

Brain stimulation models, systems, devices, and methods

Method and system for displaying a volume of influence by an electrode inserted in neural tissue

Method and device for displaying predicted volume of influence with patient-specific atlas of neural tissue

In some preferred embodiments, without limitation, the present invention comprises an implantable, intracranial neural interface node which is an integrated and minimally invasive platform system and supports cross-modal neural interfaces to the cerebrum and other associated structures in the central nervous system. The neural interfaces comprise electrical and chemical interfaces for neural recording, electrical stimulation, chemical delivery, chemical sensing, chemical sampling, cell delivery, genetic material delivery and/or other functions of interest.

Intracranial neural interface system

Growing community of inventors

Stanford, CA, United States of America

Jaimie M Henderson