Patents by Inventor Jochen Mersmann

Jochen Mersmann 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).

  • METHOD AND COMPUTING SYSTEM FOR MODELLING A PRIMATE BRAIN
    Publication number: 20230359906
    Abstract: In one aspect the application relates to a computing system for providing data for modelling a human brain comprises a database including a plurality of datasets (or allow access to a plurality of datasets), each dataset including at least a dynamical model of the brain including at least one node and a neurodataset of a neuroimaging modality input. The at least one node include a representation of a local dynamic model and a parameter set of the local dynamic model.
    Type: Application
    Filed: January 23, 2023
    Publication date: November 9, 2023
    Inventors: Anthony Randal McIntosh, Jochen Mersmann, Viktor Jirsa, Petra Ritter
  • Method and computing system for modelling a primate brain
    Patent number: 11562253
    Abstract: In one aspect the application relates to a computing system for providing data for modelling a human brain comprises a database including a plurality of datasets (or allow access to a plurality of datasets), each dataset including at least a dynamical model of the brain including at least one node and a neurodataset of a neuroimaging modality input. The at least one node include a representation of a local dynamic model and a parameter set of the local dynamic model.
    Type: Grant
    Filed: February 18, 2019
    Date of Patent: January 24, 2023
    Assignees: Baycrest Centre for Geriatric Care, Codebox Computerdienste GmbH, Max-Planck-Gesellschaft Zur Förderung Der Wissenschaften e.V., Universite D'Aix Marseille
    Inventors: Anthony Randal McIntosh, Jochen Mersmann, Viktor Jirsa, Petra Ritter
  • METHOD AND COMPUTING SYSTEM FOR MODELLING A PRIMATE BRAIN
    Publication number: 20190251450
    Abstract: In one aspect the application relates to a computing system for providing data for modelling a human brain comprises a database including a plurality of datasets (or allow access to a plurality of datasets), each dataset including at least a dynamical model of the brain including at least one node and a neurodataset of a neuroimaging modality input. The at least one node include a representation of a local dynamic model and a parameter set of the local dynamic model.
    Type: Application
    Filed: February 18, 2019
    Publication date: August 15, 2019
    Inventors: Anthony Randal McIntosh, Jochen Mersmann, Viktor Jirsa, Petra Ritter
  • METHOD AND SYSTEM FOR ESTIMATING A LOCATION OF AN EPILEPTOGENIC ZONE OF A MAMMALIAN BRAIN
    Publication number: 20190223779
    Abstract: The invention relates to a method for estimating a location of an epileptogenic zone of a mammalian brain, a system for performing a method for estimating a location of an epileptogenic zone of a mammalian brain as well as a computer-readable medium including a set of instructions for estimating a location of an epileptogenic zone of a mammalian brain.
    Type: Application
    Filed: April 21, 2017
    Publication date: July 25, 2019
    Inventors: Jochen Mersmann, Viktor Jirsa
  • METHOD AND COMPUTING SYSTEM FOR MODELLING A PRIMATE BRAIN
    Publication number: 20150206051
    Abstract: In one aspect the application relates to a computing system for providing data for modelling a human brain comprises a database including a plurality of datasets (or allow access to a plurality of datasets), each dataset including at least a dynamical model of the brain including at least one node and a neurodataset of a neuroimaging modality input. The at least one node include a representation of a local dynamic model and a parameter set of the local dynamic model.
    Type: Application
    Filed: August 2, 2013
    Publication date: July 23, 2015
    Inventors: Anthony Randal Mclntosh, Jochen Mersmann, Viktor Jirsa, Petra Ritter
  • Neuronal network structure and method to operate a neuronal network structure
    Publication number: 20100228393
    Abstract: A neuronal network structure including a plurality of automata interconnected one with each other through synaptic links forming a connectivity matrix. The neural network structure acts as a machine that can be operated such that the machine shows different behaviours including periodic and non-periodic patterns, multistable patterns and more complex patterns such as spirals. A method to operate a neuronal network structure.
    Type: Application
    Filed: March 22, 2010
    Publication date: September 9, 2010
    Applicant: CodeBox Computerdienste GmbH
    Inventors: Jochen Mersmann, Victor Jirsa