Matthew J. Crossley, Ph.D.

Psychology University of California, Santa Barbara, Santa Barbara, CA, United States 
Category Learning, Neurcomputational Modeling, Decison Making
"Matthew Crossley"
Mean distance: 16.46 (cluster 15)


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Greg Ashby grad student 2011 UC Santa Barbara
 (Cholinergic Striatal Interneurons and the Midbrain Dopamine System Control the Learning and Unlearning of Procedural Skills.)
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Hewitson CL, Crossley MJ, Kaplan DM. (2020) Enhanced visuomotor learning and generalization in expert surgeons. Human Movement Science. 71: 102621
Crossley MJ, Maddox WT, Ashby FG. (2018) Increased cognitive load enables unlearning in procedural category learning. Journal of Experimental Psychology. Learning, Memory, and Cognition
Turner BO, Crossley MJ, Ashby FG. (2017) Hierarchical control of procedural and declarative category-learning systems. Neuroimage
Crossley MJ, Roeder JL, Helie S, et al. (2016) Trial-by-trial switching between procedural and declarative categorization systems. Psychological Research
Hélie S, Turner BO, Crossley MJ, et al. (2016) Trial-by-trial identification of categorization strategy using iterative decision-bound modeling. Behavior Research Methods
McDougle SD, Boggess MJ, Crossley MJ, et al. (2016) Credit assignment in movement-dependent reinforcement learning. Proceedings of the National Academy of Sciences of the United States of America
Morehead JR, Qasim SE, Crossley MJ, et al. (2015) Savings upon Re-Aiming in Visuomotor Adaptation. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 14386-96
Crossley MJ, Horvitz J, Balsam P, et al. (2015) Expanding the Role of Striatal Cholinergic Interneurons and the Midbrain Dopamine System in Appetitive Instrumental Conditioning. Journal of Neurophysiology. jn.00473.2015
Crossley MJ, Paul EJ, Roeder JL, et al. (2015) Declarative strategies persist under increased cognitive load. Psychonomic Bulletin & Review
Cantwell G, Crossley MJ, Ashby FG. (2015) Multiple stages of learning in perceptual categorization: evidence and neurocomputational theory. Psychonomic Bulletin & Review
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