Patents by Inventor James Herbert Horne

James Herbert Horne 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).

  • System and method for multiclass discrimination of neural response data
    Patent number: 9345412
    Abstract: Systems and methods are described herein for analyzing neural response data that can be assigned to multiple classes. The systems and methods begin with a set of training data from which optimal weight factors are derived. The derived weight factors are used in a classifier which is then applied to test data from test subjects. The classifier filters out the effects of less relevant data in the test data and provides a result in the form of probabilities associated with classes for the test data.
    Type: Grant
    Filed: October 2, 2012
    Date of Patent: May 24, 2016
    Assignee: Leidos, Inc.
    Inventor: James Herbert Horne
  • System and Method For Multiclass Discrimination of Neural Response Data
    Publication number: 20130031038
    Abstract: Systems and methods are described herein for analyzing neural response data that can be assigned to multiple classes. The systems and methods begin with a set of training data from which optimal weight factors are derived. The derived weight factors are used in a classifier which is then applied to test data from test subjects. The classifier filters out the effects of less relevant data in the test data and provides a result in the form of probabilities associated with classes for the test data.
    Type: Application
    Filed: October 2, 2012
    Publication date: January 31, 2013
    Inventor: James Herbert Horne
  • System and method for multiclass discrimination of neural response data
    Patent number: 8315962
    Abstract: Systems and methods are described herein for analyzing neural response data that can be assigned to multiple classes. The systems and methods begin with a set of training data from which optimal weight factors are derived. The derived weight factors are used in a classifier which is then applied to test data from test subjects. The classifier filters out the effects of less relevant data in the test data and provides a result in the form of probabilities associated with classes for the test data.
    Type: Grant
    Filed: November 25, 2009
    Date of Patent: November 20, 2012
    Assignee: Science Applications International Corporation
    Inventor: James Herbert Horne