Neuroscience Informatics

Computational modeling and simulation of physical and biological processes are providing increasingly powerful tools for neuroscience research. The implementation of models with sufficient resolution, such as for head tissue conductivity, requires high performance computing (HPC). Many problems that are inherently uncertain, such as estimating the neural sources of brain electrical activity, can be addressed with confidence through large scale statistical simulations. These simulations are now possible with increasingly affordable HPC resources.  

Human Head Conductivity Modeling

The process of modeling head conductivity involves specifying the physical processes, such as volume conduction of electrical fields, with equations; then building an appropriate numerical simulation or solver for those equations; then developing the appropriate computational environment to allow the simulation or solver to operate efficiently.

Clinical Decision Engines

In the near future, dEEG and MRI pattern classification technologies based on high-performance computing will allow us to interface results from multimodal neuroimaging measures with clinical decision engines, such as that developed by our colleagues at Lifecom.