Patents by Inventor Richard A. Andersen

Richard A. Andersen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20210353439
    Abstract: Methods and systems are provided for decoding movement intentions using functional ultrasound (fUS) imaging of the brain. In one example, decoding movement intentions include determining a memory phase of a cognitive state of the brain, the memory phase between a gaze fixation phase and movement execution phase, and determining one or more movement intentions including one or more of intended effector (e.g., hand, eye) and intended direction (e.g., right, left) according to a machine learning algorithm trained to classify one or more movement intentions simultaneously.
    Type: Application
    Filed: May 12, 2021
    Publication date: November 18, 2021
    Applicants: California Institute of Technology, INSERM (Institut National de la Santé et de la Recherche Médicale), CNRS-CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE, Ecole Supérieure de Physique et de Chimie Industrielles de la Ville de Paris
    Inventors: Sumner L Norman, David Maresca, Vasileios Christopoulos, Mikhail Shapiro, Richard A. Andersen, Mickael Tanter, Charlie Demene
  • Publication number: 20210100663
    Abstract: In an embodiment, the invention relates to neural prosthetic devices in which control signals are based on the cognitive activity of the prosthetic user. The control signals may be used to control an array of external devices, such as prosthetics, computer systems, and speech synthesizers. Data obtained from a 4×4 mm patch of the posterial parietal cortex illustrated that a single neural recording array could decoded movements of a large extent of the body. Cognitive activity is functionally segregated between body parts.
    Type: Application
    Filed: December 14, 2020
    Publication date: April 8, 2021
    Applicant: California Institute of Technology
    Inventors: Carey Y. Zhang, Tyson Aflalo, Richard A. Andersen
  • Publication number: 20180177619
    Abstract: In an embodiment, the invention relates to neural prosthetic devices in which control signals are based on the cognitive activity of the prosthetic user. The control signals may be used to control an array of external devices, such as prosthetics, computer systems, and speech synthesizers. Data obtained from a 4×4 mm patch of the posterial parietal cortex illustrated that a single neural recording array could decoded movements of a large extent of the body. Cognitive activity is functionally segregated between body parts.
    Type: Application
    Filed: December 21, 2017
    Publication date: June 28, 2018
    Applicant: California Institute of Technology
    Inventors: Carey Y. Zhang, Tyson Aflalo, Richard A. Andersen
  • Patent number: 8831733
    Abstract: A method and system of compensating for a damaged brain node is disclosed. The damaged node is determined by techniques such as fMRI or neural recording. A healthy node that can compensate for the function of the damaged node is determined. A stimulating electrode is placed on at least one functioning node to bypass the activity from the damaged node to compensate for a missing node. The functioning node is then stimulated to compensate for the damaged node.
    Type: Grant
    Filed: July 16, 2013
    Date of Patent: September 9, 2014
    Assignee: California Institute of Technology
    Inventors: Melanie Wilke, Igor Kagan, Richard A. Andersen
  • Patent number: 8768449
    Abstract: Prosthetic devices, methods and systems are disclosed. Eye position and/or neural activity of a primate are recorded and combined. The combination signal is compared with a predetermined signal. The result of the comparison step is used to actuate the prosthetic device.
    Type: Grant
    Filed: July 1, 2010
    Date of Patent: July 1, 2014
    Assignee: California Institute of Technology
    Inventors: Bijan Pesaran, Richard A. Andersen
  • Publication number: 20140018882
    Abstract: A method and system of compensating for a damaged brain node is disclosed. The damaged node is determined by techniques such as fMRI or neural recording. A healthy node that can compensate for the function of the damaged node is determined. A stimulating electrode is placed on at least one functioning node to bypass the activity from the damaged node to compensate for a missing node. The functioning node is then stimulated to compensate for the damaged node.
    Type: Application
    Filed: July 16, 2013
    Publication date: January 16, 2014
    Inventors: Melanie Wilke, Igor Kagan, Richard A. Andersen
  • Patent number: 8095210
    Abstract: The present invention relates to systems and methods for controlling neural prosthetic devices and electrophysiological recording equipment, and for using the same in clinical operation. Various embodiments of the invention are directed to an algorithm for autonomously isolating and maintaining neural action potential recordings. The algorithm may be used in connection with a neural interface microdrive capable of positioning electrodes to record signals from active neurons.
    Type: Grant
    Filed: January 19, 2007
    Date of Patent: January 10, 2012
    Assignee: California Institute of Technology
    Inventors: Joel W. Burdick, Jorge G. Cham, Zoran Nenadic, Edward A. Branchaud, Michael T. Wolf, Richard A. Andersen
  • Publication number: 20100331976
    Abstract: Prosthetic devices, methods and systems are disclosed. Eye position and/or neural activity of a primate are recorded and combined. The combination signal is compared with a predetermined signal. The result of the comparison step is used to actuate the prosthetic device.
    Type: Application
    Filed: July 1, 2010
    Publication date: December 30, 2010
    Applicant: CALIFORNIA INSTITUTE OF TECHNOLOGY
    Inventors: Bijan Pesaran, Richard A. Andersen
  • Patent number: 7826894
    Abstract: In an embodiment, the invention relates to neural prosthetic devices in which control signals are based on the cognitive activity of the prosthetic user. The control signals may be used to control an array of external devices, such as prosthetics, computer systems, and speech synthesizers. Data obtained from monkeys' movement intentions were recorded, decoded with a computer algorithm, and used to position cursors on a computer screen. Not only the intended goals, but also the value of the reward the animals expected to receive at the end of each trial, were decoded from the recordings. The results indicate that brain activity related to cognitive variables can be a viable source of signals for the control of a cognitive-based neural prosthetic.
    Type: Grant
    Filed: March 22, 2005
    Date of Patent: November 2, 2010
    Assignee: California Institute of Technology
    Inventors: Sam Musallam, Richard A. Andersen, Brian D. Corneil, Bradley Greger, Hansjorg Scherberger
  • Patent number: 7797040
    Abstract: Prosthetic devices, methods and systems are disclosed. Eye position and/or neural activity of a primate are recorded and combined. The combination signal is compared with a predetermined signal. The result of the comparison step is used to actuate the prosthetic device.
    Type: Grant
    Filed: December 15, 2005
    Date of Patent: September 14, 2010
    Assignee: California Institute of Technology
    Inventors: Bijan Pesaran, Richard A. Andersen
  • Publication number: 20080177196
    Abstract: The present invention relates to systems and methods for controlling neural prosthetic devices and electrophysiological recording equipment, and for using the same in clinical operation. Various embodiments of the invention are directed to an algorithm for autonomously isolating and maintaining neural action potential recordings. The algorithm may be used in connection with a neural interface microdrive capable of positioning electrodes to record signals from active neurons.
    Type: Application
    Filed: January 19, 2007
    Publication date: July 24, 2008
    Applicant: CALIFORNIA INSTITUTE OF TECHNOLOGY
    Inventors: Joel W. Burdick, Jorge G. Cham, Zoran Nenadic, Edward A. Branchaud, Michael T. Wolf, Richard A. Andersen
  • Publication number: 20060217816
    Abstract: Prosthetic devices, methods and systems are disclosed. Eye position and/or neural activity of a primate are recorded and combined. The combination signal is compared with a predetermined signal. The result of the comparison step is used to actuate the prosthetic device.
    Type: Application
    Filed: December 15, 2005
    Publication date: September 28, 2006
    Applicant: California Institute of Technology
    Inventors: Bijan Pesaran, Richard Andersen
  • Publication number: 20050228515
    Abstract: In an embodiment, the invention relates to neural prosthetic devices in which control signals are based on the cognitive activity of the prosthetic user. The control signals may be used to control an array of external devices, such as prosthetics, computer systems, and speech synthesizers. Data obtained from monkeys' movement intentions were recorded, decoded with a computer algorithm, and used to position cursors on a computer screen. Not only the intended goals, but also the value of the reward the animals expected to receive at the end of each trial, were decoded from the recordings. The results indicate that brain activity related to cognitive variables can be a viable source of signals for the control of a cognitive-based neural prosthetic.
    Type: Application
    Filed: March 22, 2005
    Publication date: October 13, 2005
    Applicant: California Institute of Technology
    Inventors: Sam Musallam, Richard Andersen, Brian Corneil, Bradley Greger, Hansjorg Scherberger
  • Patent number: 6952687
    Abstract: A prosthetic system may use a decoder to predict an intended action, such as a reach, from processed signals generated from measured neural activity. The decoder may included a cognitive state machine, which transitions between cognitive states based on transition rules.
    Type: Grant
    Filed: July 10, 2002
    Date of Patent: October 4, 2005
    Assignee: California Institute of Technology
    Inventors: Richard A. Andersen, Bijan Pesaran, Partha Mitra, Daniella Meeker, Krishna V. Shenoy, Shiyan Cao, Joel W. Burdick
  • Patent number: 6920351
    Abstract: In an embodiment, neural activity of a subject may be measured with an implant in the sensory motor cortex of the subject and used to predict an intended movement. The measured neural activity may be the local field potential (LFP) at an electrode or single unit (SU) activity. The spectral structure of the LFP and the SU activity may be estimated using spectral analysis techniques. The estimated LFP and SU responses may be used to predict and intended movement by the subject.
    Type: Grant
    Filed: November 25, 2002
    Date of Patent: July 19, 2005
    Assignee: California Institute of Technology
    Inventors: Partha Mitra, Bijan Pesaran, Richard A. Andersen
  • Publication number: 20050096521
    Abstract: A prosthetic system may use a decoder to predict an intended action, such as a reach, from processed signals generated from measured neural activity. The decoder may included a cognitive state machine, which transitions between cognitive states based on transition rules.
    Type: Application
    Filed: November 12, 2004
    Publication date: May 5, 2005
    Inventors: Richard Andersen, Bijan Pesaran, Partha Mitra, Daniella Meeker, Krishna Shenoy, Shiyan Cao, Joel Burdick
  • Patent number: 6731964
    Abstract: The present invention provides a processed neural signal that encodes a reach plan, comprising the target location of the planned reach encoded relative to an eye-centered reference frame. The present invention also provides methods for generating and decoding the processed neural signal.
    Type: Grant
    Filed: August 9, 2002
    Date of Patent: May 4, 2004
    Assignee: California Institute of Technology
    Inventors: Krishna V. Shenoy, Richard A. Andersen, Sohaib A. Kureshi
  • Publication number: 20040006264
    Abstract: A neural prosthetic micro system includes an electrode array coupled to an integrated circuit (IC) which may include signal conditioning and processing circuitry. The IC may include a high pass filter that passes signals representative of local field potential (LFP) activity in a subject's brain.
    Type: Application
    Filed: November 20, 2002
    Publication date: January 8, 2004
    Inventors: Mohammad M. Mojarradi, Erik J. Brandon, Jay F. Whitacre, Linda Y. Del Castillo, Richard A. Andersen, Travis W. Johnson, William C. West
  • Patent number: 6615076
    Abstract: In an embodiment, neural activity of a subject may be measured with an implant in the sensory motor cortex of the subject and used to predict an intended movement. The measured neural activity may be the local field potential (LFP) at an electrode or single unit (SU) activity. The spectral structure of the LFP and the SU activity may be estimated using spectral analysis techniques. The estimated LFP and SU responses may be used to predict and intended movement by the subject.
    Type: Grant
    Filed: December 14, 2000
    Date of Patent: September 2, 2003
    Assignee: California Institute of Technology
    Inventors: Partha Mitra, Bijan Pesaran, Richard A. Andersen
  • Patent number: 6609017
    Abstract: The present invention provides a processed neural signal that encodes a reach plan, comprising the target location of the planned encoded relative to an eye-centered reference frame. The present invention also provides methods for generating and decoding the processed neural signal.
    Type: Grant
    Filed: August 6, 1999
    Date of Patent: August 19, 2003
    Assignee: California Institute of Technology
    Inventors: Krishna V. Shenoy, Richard A. Andersen, Sohaib A. Kureshi