Patents by Inventor Drew Linsley

Drew Linsley 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).

  • APPLYING ELECTROMAGNETIC RADIATION TO SAMPLES LOCATED ON A MICROSCOPE STAGE USING A MICROMIRROR ARRAY
    Publication number: 20250383534
    Abstract: The systems and processes described herein can implement experimental protocols that indicate wavelengths of electromagnetic radiation to apply to samples located on a microscope stage and a duration to apply the electromagnetic radiation. Images of the samples can be captured and analyzed to determine a state of the samples.
    Type: Application
    Filed: June 18, 2025
    Publication date: December 18, 2025
    Inventors: Steven M. Finkbeiner, Jeremy Linsley, Kaushik Sridhar, Vivek Gopal Ramaswamy, Joshua Lamstein, Benjamin L. Brumbaugh, Shijie Wang, Drew Linsley
  • Recurrent neural circuits
    Patent number: 11636346
    Abstract: A method includes providing a computer system, the computer system including at least a processor and a memory, the memory including at least an operating system, executing a process in the memory, the process including providing a recurrent circuit model, and converting the recurrent circuit model into a recurrent neural network that can be fit with gradient descent.
    Type: Grant
    Filed: May 6, 2020
    Date of Patent: April 25, 2023
    Assignee: Brown University
    Inventors: Drew Linsley, Junkyung Kim, Thomas Serre, Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan, Rex Gerry Liu
  • RECURRENT NEURAL CIRCUITS
    Publication number: 20200356862
    Abstract: A method includes providing a computer system, the computer system including at least a processor and a memory, the memory including at least an operating system, executing a process in the memory, the process including providing a recurrent circuit model, and converting the recurrent circuit model into a recurrent neural network that can be fit with gradient descent.
    Type: Application
    Filed: May 6, 2020
    Publication date: November 12, 2020
    Inventors: Drew Linsley, Junkyung Kim, Thomas Serre, Alekh Karkada Ashok, Laksmi Narasimhan Govindarajan, Rex Gerry Liu