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Sparse signal estimation for neuroscience
Research Group
Sridharan Devarajan and Chandra Murthy
Centre for Neuro Sciences, IISc
and Department of Electrical Communication Engineering, IISc
The brain is among the most complex of biological systems, with the billions of neurons and trillions of connections among these neurons. Despite this rich machinery, the brain encodes the sensory world sparsely [1]. In this project we will utilize data obtained from neuroimaging
techniques (functional MRI and electroencephalography) that permit recording the activity of large ensembles and networks of neurons. We will seek to use sparse signal estimation approaches to identify activity and connectivity in brain regions and networks based on sparse coding principles.
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