The lab has recently been pursuing the following research directions:
- Developing pre-processing and visualization tools for ultra-high-resolution fMRI data
- Investigating the effects of veins and sinuses on fMRI data and developing methods for correcting these artifacts
- Understanding fine-scale activity patterns in high-level visual cortex
- Characterizing the functional role of cortical layers with respect to bottom-up and top-down processing
The Computational Visual Neuroscience Laboratory (CVNLAB) is located in 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?
We are excited to announce a new conference: Cognitive Computational Neuroscience (CCN) to be held September 6–8, 2017
- Kendrick presents a talk at UW-Madison on ongoing work in developing signal processing techniques for obtaining accurate measurements of neural activity using ultra-high-resolution fMRI.
- Talk at Neurohackweek 2016 on data science, statistics, model-based fMRI, and high-res fMRI. See Resources page.
- VSS talk on deep neural networks available. See Resources page.
T2*-weighted functional image, GE-EPI, 0.8-mm isotropic, 2.2-s TR (click for full image)