The goal of this summer school is to primarily introduce and advance through computational neuroimaging methods that are frequently employed to answer questions in human brain pathology and in cognitive science. Participants will receive exposure to understanding basics of MRI, functional MRI (fMRI), diffusion tensor imaging (DTI) , high angular resolution diffusion MRI (HARDI) etc. that are crucial in studying human brain function in vivo. The course will begin with facilitating understanding of how the images are formed (MRI Physics) and followed by talk in neuroanatomy, and will continue with introduction to standard techniques of analysis that include image registration and segmentation. Subsequently, quantitative methods that support inference will be introduced. The participants will also be trained on computing and analyzing the human connectomes. Finally, we will demonstrate examples in image analysis and introduce novel deep learning techniques for image analysis. Overall, the activities will include design of a variety of experiments, exposure to a variety of software tools and demonstrations of the techniques in action, and selected keynote lectures to exemplify particular experimental domains in which many of these techniques have been brought to bear on a specific problem. We anticipate that after completion of this school, the participants will be equipped with tools to handle standard as well as novel problems in neuro-image analysis.
Prerequisites:
1. We expect you to read a few basic papers before the workshop. Click Here
2.Softwares to download before you come to the workshop. Software , Manual
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Online
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