Patents by Inventor Kohitij Kar

Kohitij Kar 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: 20240082534
    Abstract: Techniques for non-invasively controlling targeted neural activity of a subject are provided herein. The techniques include applying a stimulus input to the subject, the stimulus input being formed by a deep artificial neural network (ANN) model and being configured to elicit targeted neural activity within a brain of the subject. The stimulus input may be a pattern of luminous power generated by the deep ANN model and applied to retinae of the subject. The stimulus input may be generated by the deep ANN model based on a mapping of the subject's neural responses to neurons of the deep ANN model.
    Type: Application
    Filed: October 6, 2023
    Publication date: March 14, 2024
    Applicant: Massachusetts Institute of Technology
    Inventors: James DICARLO, Pouya BASHIVAN, Kohitij KAR
  • Patent number: 11813406
    Abstract: Techniques for non-invasively controlling targeted neural activity of a subject are provided herein. The techniques include applying a stimulus input to the subject, the stimulus input being formed by a deep artificial neural network (ANN) model and being configured to elicit targeted neural activity within a brain of the subject. The stimulus input may be a pattern of luminous power generated by the deep ANN model and applied to retinae of the subject. The stimulus input may be generated by the deep ANN model based on a mapping of the subject's neural responses to neurons of the deep ANN model.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: November 14, 2023
    Assignee: Massachusetts Institute of Technology
    Inventors: James Dicarlo, Pouya Bashivan, Kohitij Kar
  • Publication number: 20200345968
    Abstract: Techniques for non-invasively controlling targeted neural activity of a subject are provided herein. The techniques include applying a stimulus input to the subject, the stimulus input being formed by a deep artificial neural network (ANN) model and being configured to elicit targeted neural activity within a brain of the subject. The stimulus input may be a pattern of luminous power generated by the deep ANN model and applied to retinae of the subject. The stimulus input may be generated by the deep ANN model based on a mapping of the subject's neural responses to neurons of the deep ANN model.
    Type: Application
    Filed: April 30, 2020
    Publication date: November 5, 2020
    Applicant: Massachusetts Institute of Technology
    Inventors: James Dicarlo, Pouya Bashivan, Kohitij Kar
  • Publication number: 20150328447
    Abstract: A system for enhancing a sensory modality of a subject including a first scalp electrode configured to be placed above the sensory cortex of the subject and a second electrode configured to be placed elsewhere on the subject. A power source is configured to apply low levels of alternating current above 5 Hz between the first and second electrodes. A method of sensory enhancement is also provided.
    Type: Application
    Filed: May 13, 2015
    Publication date: November 19, 2015
    Inventors: Bart Krekelberg, Kohitij Kar