Computational Visual Neuroscience Laboratory at CMRR
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Mission Statement

On August 1, the Computational Visual Neuroscience Laboratory (CVNLAB) will be started at the Center for Magnetic Resonance Research (CMRR) in the Radiology Department at the University of Minnesota. The goal of the lab is to understand how the human brain represents visual images and makes perceptual decisions about these images. We use a combined experimental and computational approach that seeks to develop models that characterize the stimulus transformations perfomed by the brain. Our primary measurement technique is functional magnetic resonance imaging (fMRI), which is ideally suited to identify these transformations, given its excellent spatial resolution and ability to monitor activity across the numerous areas of visual cortex. Recent increases in magnetic field strength (10.5T) are expected to provide substantial gains in spatial resolution and signal-to-noise ratio, enabling the acquisition of large, high-quality datasets that can be used to resolve functional differences across cortical layers and columns. In the spirit of reproducible research, we make freely available tools and resources (e.g. experiments, data, code) developed in the course of our research.


 What computations does the visual system perform? 



April 2015

February 2015


 T2*-weighted functional image with whole-brain coverage (click for full image) 


University of Minnesota | Department of Radiology | Center for Magnetic Resonance Research