Patents by Inventor Dan NEMRODOV

Dan NEMRODOV 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).

  • ARTIFICIAL INTELLIGENCE-GUIDED VISUAL NEUROMODULATION FOR THERAPEUTIC OR PERFORMANCE-ENHANCING EFFECTS
    Publication number: 20230347100
    Abstract: Systems and methods to generate non-figurative visual neuromodulatory codes adapted to produce physiological responses having therapeutic or performance-enhancing effects. A code is rendered based on a set of rendering parameters and output to be viewed simultaneously by a plurality of subjects. Physiological responses of each of the subjects are measured during the outputting. A value of an outcome function is calculated based on the physiological responses. An updated predictive model is determined based on a current predictive model and the calculated value of the outcome function. The predictive model provides an estimated value of the outcome function for a given set of rendering parameters. Values are calculated for a set of adapted rendering parameters. The method is iteratively repeated using the set of adapted rendering parameters to produce an adapted visual neuromodulatory code, until a defined set of stopping criteria are satisfied.
    Type: Application
    Filed: September 3, 2021
    Publication date: November 2, 2023
    Inventors: Adam HANINA, Ekaterina MALAKHOVA, Dan NEMRODOV
  • System and method for generating visual identity and category reconstruction from electroencephalography (EEG) signals
    Patent number: 10925509
    Abstract: There is provided a system and method for generating visual category reconstruction from electroencephalography (EEG) signals.
    Type: Grant
    Filed: May 27, 2019
    Date of Patent: February 23, 2021
    Assignee: THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO
    Inventors: Adrian Razvan Nestor, Dan Nemrodov
  • SYSTEM AND METHOD FOR GENERATING VISUAL IDENTITY AND CATEGORY RECONSTRUCTION FROM ELECTROENCEPHALOGRAPHY (EEG) SIGNALS
    Publication number: 20190357797
    Abstract: There is provided a system and method for generating visual category reconstruction from electroencephalography (EEG) signals.
    Type: Application
    Filed: May 27, 2019
    Publication date: November 28, 2019
    Inventors: Adrian Razvan NESTOR, Dan NEMRODOV