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Found 8 results
Author Title Type [ Year(Asc)]
Filters: Author is Paul, Erick J  [Clear All Filters]
2016
Crossley, M. J., Paul E. J., Roeder J. L., & Ashby F. G. (2016).  Declarative strategies persist under increased cognitive load. Psychonomic Bulletin & Review. 23(1), 213-22.
2015
Paul, E. J., J Smith D., Valentin V. V., Turner B. O., Barbey A. K., & Ashby F. G. (2015).  Neural networks underlying the metacognitive uncertainty response. Cortex. 71, 306-22.
2014
J Filoteo, V., Paul E. J., F Ashby G., Frank G. K. W., Helie S., Rockwell R., et al. (2014).  Simulating category learning and set shifting deficits in patients weight-restored from anorexia nervosa. Neuropsychology. 28(5), 741-51.
2013
Paul, E. J., & F Ashby G. (2013).  A neurocomputational theory of how explicit learning bootstraps early procedural learning. Frontiers in Computational Neuroscience. 7, 177.
2012
Helie, S., Paul E. J., & F Ashby G. (2012).  A neurocomputational account of cognitive deficits in Parkinson's disease. Neuropsychologia. 50(9), 2290-2302.
Helie, S., Paul E. J., & F Ashby G. (2012).  Simulating the effects of dopamine imbalance on cognition: From positive affect to Parkinson's disease. Neural Networks. 32, 74-85.
2011
F Ashby, G., Paul E. J., & ToddMaddox W. (2011).  COVIS. In E. M. Pothos & A. J. Wills (Eds.), Formal approaches in categorization. 65-87.
Paul, E. J., Boomer J., J Smith D., & F Ashby G. (2011).  Information-integration category learning and the human uncertainty response. Memory & Cognition. 39(3), 536-554.