Areas of Interest
The goal of research in the Computational & Cognitive Neuroscience Lab is to understand the neural architecture that underlies cognition, that is, the set of (relatively) fixed neural structures and processes that give rise to cognition. What are the parts, how do they work, and how do they interact to produce the mind? Ultimately, we would like to understand how the cognitive architecture is determined (e.g., which aspects are genetic), how the architecture changes as a result of experience and normal aging, and how it normally functions (in sufficient detail that we can implement it computationally). To that end, we have adopted a multidisciplinary approach that combines neuroimaging, computational modeling, and behavioral experimentation to make progress on these questions both theoretically and empirically.
- Lalwani P., Garrett D.D., Polk T.A., (2021). Dynamic recovery: GABA agonism restores neural variability in older, poorer performing adults. The Journal of Neuroscience.
- Kelley S., Plass J., Bender A.R., Polk T.A., (2021). Age-Related Differences in White Matter: Understanding Tensor-Based Results Using Fixel-Based Analysis. Cerebral Cortex.
- Chamberlain J.D, Gagnon H., Lalwani P., Cassady K.E., Simmonite M., Foerster B.R., Petrou M., Seidler R.D., Taylor S.F., Weissman D.H., Park D.C., Polk T.A., (2021). GABA levels in ventral visual cortex decline with age and are associated with neural distinctiveness. Neurobiology of Aging.
- Iordan, A., Moored, K., Katz, B., Cooke, K., Buschkuehl, M., Jaeggi, S., Polk, T., Peltier, S., Jonides, J., & Reuter-Lorenz, P. (2021). Age Differences in Functional Network Reconfiguration with Working Memory Training. Human Brain Mapping.