Method and computing system for modelling a primate brain

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.

Description

PRIORITY CLAIM[0001]This application claims priority to US provisional application U.S. 61 / 678,950, which is fully incorporated herein by reference.FIELD OF THE INVENTION[0002]This invention relates to a method and apparatus for simulating brain function. In particular, this invention relates to a system that simulates brain function by integrating brain models with measured neuroimaging data.BACKGROUND OF THE INVENTION[0003]Brain function is thought to emerge from the interactions of large numbers of neurons. One aspect of difficulty in the research of brain function is the inability to directly observe brain dynamics. It would be useful to provide an abstract mathematical model of modelled brain dynamics that exhibit a lower complexity than actual brain dynamics. Such a model may be limited to only a few selected aspects of brain dynamics that are of interest. Further model complexity or detail may be added to the model to alter a different range of modelled brain dynamics. Clinic...

AI Technical Summary

Benefits of technology

[0007]The application discloses a computing system for modelling a human, or more generally a primate brain comprising a dynamical model of the brain, at least one neuroimaging modality input and a decision engine for comparing results of the dynamical model to the at least one neuroimaging modality input. In some examples, the neuroimaging modality input refers to single or multimodal neuroimaging data, i.e. data from one or more different types of neuroimaging data, such as electroencephalography (EEG), magnetoencephalography (MEG), magnetic resonance imaging (MRI) or positron emission tomography (PET). The system or its components may be configured to be implemented as and / or processed by software running on a single computer, a computer cluster or via cloud-computing. Cloud computing is a synonym for distributed computing over a network and includes the ability to run a program on many connected computers at the same time. This includes the provisioning of application services that run client-server software on a remote location. Furthermore, the system or its components may be configured to be implemented as functional modules of a software or modular software, or a computer based database. Throughout this application a computer will be understood to include an entity including a real or virtual central processing unit to receive, compute and output commands from a software or a functional module as described above.

Problems solved by technology

One aspect of difficulty in the research of brain function is the inability to directly observe brain dynamics.

Such a model may be limited to only a few selected aspects of brain dynamics that are of interest.

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