THE POLDRACK LAB IS WORKING ON USING BRAIN ACTIVATION MAPS TO DECODE BRAIN ACTIVITY, LOOKING AT THE CORRELATION BETWEEN DIFFERENT MEASURES AND BRAIN IMAGES. THEY ARE ALSO WORKING ON DEVELOPING COMPUTATIONAL TOOLS TO HELP RESEARCHERS BETTER UNDERSTAND LARGE DATASETS AND TO ENHANCE THE REPRODUCIBILITY OF NEUROSCIENCE RESEARCH.
While decades of research have elucidated the specific roles of various brain regions, much is still unknown about brain dynamics and how the brain changes, especially over short periods of time.
Beyond understanding anatomical changes in the brain, it is essential to correlate those changes to functionality and behavior.
A better understanding of the correlation between brain dynamics and behavior, as well as access to large databases of neuroimaging data, can help scientists widen the scope of their research and inform their research.
Project Brain Dynamics focuses on understanding the way the brain changes (i.e. brain dynamics) and the connection to human behavior by looking for neural markers that change when a normal brain transitions to a disordered brain.
There will be space to innovate on correlational and predictive modeling techniques, or to go a step back and improve techniques to estimate dynamic brain connectivity. This will be done by developing statistical methods and machine learning analysis
We are looking for student with experience in or willingness to learn the following:
- Statistical analysis