Computational frameworks for multi-scale models using structural and functional brain map data

We will develop computational frameworks for constructing multi-scale neural models that link cellular and network dynamics to behavioral and cognitive functions by utilizing large-scale anatomical and physiological data sets. Specific targets are the following: 1) Estimation of cellular and synaptic parameters from connectome, imaging, and electrode recording data. 2) Automated reduction of conductance-based models to integrate-and-fire models, and spiking neural network models to population firing rate models. 3) Application and validation of the above methods with the data being produced by the Brain/MINDS project.