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US 11,562,253 B2Granted
Method and computing system for modelling a primate brain
AssigneesBaycrest Centre for Geriatric Care, Codebox Computerdienste GmbH, Max-Planck-Gesellschaft zur Forderung der Wissenschaften e.V., Universite D'Aix-Marseille
InventorsAnthony Randal McIntosh, Jochen Mersmann, Viktor Jirsa, Petra Ritter
Life of this patent
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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.
Claims20
A non-transitory computer readable medium encoded with non-transitory computer readable instructions for performing a process comprising:
- storing, in a computerized database, a computer-simulation primate whole brain model representing whole brain neural activity, the whole brain model divided into a plurality of anatomical regional brain subunit models, each regional brain subunit model representing regional brain subunit neural activity and comprising a plurality of nodes that include user-modifiable parameters representing a user-modifiable connectivity structure of a regional brain subunit, the connectivity structure including anatomical and neural functional connectivity information of the regional brain subunit within the regional brain subunit, to one or more other regional brain subunits of the whole brain model, or both;
- receiving, via a graphical user interface, a user-directed search request in the computerized database that user-indicates a property of a neurodataset representing structural and brain neural activity of at least one of the whole brain model or a regional brain subunit model;
- accessing the whole brain model in response to receiving the search request;
- processing, by a processor, one or more parameters of the plurality of nodes of the whole brain model to identify one or more parameters of the whole brain model or regional brain subunit model that are associated with the user-indicated property of the neurodataset indicated in the search request;
- generating, for display in the graphical user interface, a visual presentation based on the identified one or more parameters;
- and
- permitting the user to train at least part of the whole brain model including by modifying the database to user-fit at least one parameter of at least one of the whole brain model or at least one of the regional brain subunit models to empirical intrinsic neural activity data measured from a particular patient.
4 more elements
A method comprising:
- storing, in a computerized database, a computer-simulation primate whole brain model representing whole brain neural activity, the whole brain model divided into a plurality of anatomical regional brain subunit models, each regional brain subunit model representing regional brain subunit neural activity and comprising a plurality of nodes that include user-modifiable parameters representing a user-modifiable connectivity structure of a regional brain subunit, the connectivity structure including anatomical and neural functional connectivity information of the regional brain subunit within the regional brain subunit, to one or more other regional brain subunits of the whole brain model, or both;
- receiving, via a graphical user interface, a user-directed search request in the computerized database that user-indicates a property of a neurodataset representing structural and brain neural activity of at least one of the whole brain model or a regional brain subunit model;
- accessing the whole brain model in response to receiving the search request;
- processing, by a processor, one or more parameters of the plurality of nodes of the whole brain model to identify one or more parameters of the whole brain model or regional subunit model that are associated with the user-indicated property of the neurodataset indicated in the search request;
- generating, for display in the graphical user interface, a visual presentation based on the identified one or more parameters;
- and
- permitting the user to train at least a portion of the whole brain model including by modifying the database to user-fit at least one parameter of at least one of the whole brain model or at least one of the regional brain subunit models to empirical intrinsic neural activity data measured from a particular patient.
4 more elements
Dependencies are inferred from the claim text.