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| Naji, M. |
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| Motta, Antonella |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Petrov, R. H. | Madrid |
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| Casati, R. |
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| Azam, Siraj |
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| Ali, M. A. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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Reimann, M.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2019Influence of Cu/Li ratio on the microstructure evolution of bobbin-tool friction stir welded Al–Cu–Li alloyscitations
- 2019The effect of grain boundary precipitates on stress corrosion cracking in a bobbin tool friction stir welded Al-Cu-Li alloycitations
- 2018Microstructure Evolution and Mechanical Properties of Keyhole Repair Welds in AA 2219-T851 using Refill Friction Stir Spot Weldingcitations
- 2017Semi-stationary shoulder bobbin tool friction stir welding of AA2198-T851citations
- 2017Refilling termination hole in AA 2198–T851 by refill friction stir spot weldingcitations
- 2017Microstructure and mechanical properties of keyhole repair welds in AA 7075-T651 using refill friction stir spot weldingcitations
- 2016Data-driven model of the hippocampus using the HBP Brain Simulation Platform
- 2016Keyhole closure using friction spot welding in aluminum alloy 6061–T6citations
- 2003Real-time detection of nucleic acid interactions by total internal reflection fluorescencecitations
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document
Data-driven model of the hippocampus using the HBP Brain Simulation Platform
Abstract
The hippocampus is one of four brain regions being modeled in the ramp-up phase of the Human Brain Project (HBP), testing and guiding the development of the HBP Brain Simulation Platform (BSP) to be released in March 2016. Using preliminary versions of BSP applications developed at the Blue Brain Project, a first draft data-driven model of hippocampus was assembled, integrating data available from HBP and community sources. In brief, the building process started by populating the hippocampal volume, defined by the Allen Brain Atlas, with a series of reconstructions of well-characterized cell types according to experimentally observed densities and proportions. A connectome was generated as previously described [1], constrained by biological values for bouton density and synapses per connection. Single cell electrical models and synapse physiology were constrained by electrophysiological recordings and publicly available data. Further datasets not used as input during model building were used to validate the model. This first draft of the circuit model and the pipeline to build it are to be released with the HBP-BSP in March 2016, and they will be periodically updated. The model represents a resource for the community to integrate data, perform in silico experiments, and test hypotheses.Establishing a community process for the continued refinement of the model is planned for the next phase of the HBP.[1] Reimann, M. et al. An algorithm to predict the connectome of neural microcircuits. Front. Comput. Neurosci. (2015). http://dx.doi.org/10.3389/fncom.2015.00120