Development and standardization of biologically realistic neural network models through an open source database. (360G-Wellcome-086699_Z_08_Z)

£1,048,732

Models of neural networks in the brain are important for understanding how complex patterns of neuronal activity are generated by low level cellular mechanisms and network connectivity. They will be key for elucidating how information is processed in health and disease. Unfortunately, access to network models has been limited to a small group of computational neuroscientists with specialized programming skills. In this project we will build a database of high quality biologically realistic neura l network models that are accessible to a wide range of neuroscientists. This will involve developing new software tools and standardized model descriptions to facilitate the construction, modification, visualization and running of network models without the need to write code for specialized simulators. We will create an open source database (OpenSourceBrain.org) where collaborators, expert in a brain region, can actively develop models. Standardized model descriptions (NeuroML format) will pro vide a common language ensuring interoperability of model components and simulator independence. We will develop 3D models of the cerebellum and cortex with a high degree of biological realism through a close collaboration of theoreticians and experimentalists. Models will be tested thoroughly as part of research investigations and made freely available together with associated software tools.

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Grant Details

Amount Awarded 1048732
Applicant Surname Silver
Approval Committee Neurosciences And Mental Health
Award Date 2008-10-08T00:00:00+00:00
Financial Year 2008/09
Grant Programme: Title Biomedical Resources Grant
Internal ID 086699/Z/08/Z
Lead Applicant Prof Robin Angus Silver
Other Applicant(s) Dr Padraig Gleeson
Partnership Value 1048732
Planned Dates: End Date 2013-11-30T00:00:00+00:00
Planned Dates: Start Date 2008-12-01T00:00:00+00:00
Recipient Org: Country United Kingdom
Region Greater London