The CognAc lab explores various aspects of human performance with a focus on how people select, plan, and produce movement. We use a variety of methods, including behavioral studies in healthy and neurologically impaired populations, TMS, fMRI, EEG, ECoG, and computational modeling.
Our current work on skill acquisition focuses on the interaction of explicit and implicit learning mechanisms. In particular, moving in a novel environment (e.g., playing frisbee on a windy day) the motor system is automatically recalibrated, a process that occurs in an incremental manner. We can, though, use strategies to speed up the learning process. We are interested in how these different methods of learning interact. This work builds on the literature examining the relatioship of the cerebellum, parietal lobe, and prefrontal cortex in motor learning.A second major theme of our work seeks to understand how subcortical structures support cognition. In particular, we are interested in how the cerebellum supports cognition. Anatomical, neuropsychological, and neuroimaging evidence has shown that the functional domain of the cerebellum is not limited to sensorimotor control and learning, but includes many aspects of higher-level cognition such as attention, language, and even social cognition. We use fMRI and behavioral methods to test functional hypotheses, with a focus on whether the cerebellum implements similar computational principles across these different task domains.
Complete List of Published Work:
1. Mechanisms for sensorimotor learning.
Kim, H.E., Parvin, D.E., and Ivry, R.B. (2019). The influence of task outcome on implicit motor learning. eLife.doi: 10.7554/eLife.39882. PMID: 31033439
2. Subcortical contributions to cognition.
Diedrichsen, J., King, M., Hernandez-Castillo, C, Sereno, M., and Ivry, R.B. (2019). Universal transform or multiple functionality? Understanding the contribution of the human cerebellum across task domains. Neuron. 102:918-928. PMID: 31170400
3. Action selection and response preparation.
Duque, J., Greenhouse I., Labruna, L. and Ivry, R.B. (2017). Physiological markers of motor inhibition during human behavior. Trends in Neurosciences, 40, 219-236. PMID: 28341235
4. Neural mechanisms of temporal processing.
Breska, A. and Ivry, R.B. (2018). Double dissociation of single-interval and rhythmic temporal prediction in cerebellar degeneration and Parkinson's disease. Proceedings of the National Academy of Sciences, 115: 12283-22288. PMID: 30424170
Psychology/Cognitive Science 127: Cognitive Neuroscience (fall 2017)
Psychology 229: Cognitive Neuroscience Colloquium (fall 2017 and spring 2018)
Psychology 210a: Readings in Cognitive Neuroscience (spring 2018)