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Photo of F. Gregory Ashby

F. Gregory Ashby

Professor
Department of Psychology
UC Santa Barbara
Phone:
+1 805-893-2130
Email:
fgashby@ucsb.edu
Office:
3847 Psychology East
Website:
Laboratory for Computational Cognitive Neuroscience

Cognitive neuroscience; categorization; memory; attention; decision processes in perception and cognition; mathematical psychology.

Displaying 1 - 20 of 24

ICB Supported Publications

Categorization training increases the perceptual separability of novel dimensions

F. A. Soto and F. G. Ashby
Cognition,
10.1016/j.cognition.2015.02.006

Learning robust cortico-cortical associations with the basal ganglia: An integrative review

S. Helie, S. W. Ell, and F. G. Ashby
Cortex,
10.1016/j.cortex.2014.10.011

Procedural learning during declarative control

M. J. Crossley and F. G. Ashby
Journal of Experimental Psychology: Learning, Memory, and Cognition,
10.1037/a0038853

Context-dependent savings in procedural category learning

M. J. Crossley, F. G. Ashby, and W. T. Maddox
Brain and Cognition,
10.1016/j.bandc.2014.09.008

Is state-trace analysis an appropriate tool for assessing the number of cognitive systems?

F. G. Ashby
Psychonomic Bulletin & Review,
10.3758/s13423-013-0578-x

General recognition theory with individual differences: a new method for examining perceptual and decisional interactions with an application to face perception

F. A. Soto, L. Vucovich, R. Musgrave, and F. G. Ashby
Psychon. Bull. Rev.,
10.3758/s13423-014-0661-y

Cross-modal information integration in category learning

J. D. Smith, J. J. R. Johnston, R. D. Musgrave, A. C. Zakrzewski, J. Boomer, B. A. Church, and F. G. Ashby
Atten. Percept. Psychophys.,
10.3758/s13414-014-0659-6

Deferred feedback sharply dissociates implicit and explicit category learning

J. D. Smith, J. Boomer, A. C. Zakrzewski, J. L. Roeder, B. A. Church, and F. G. Ashby
Psychol. Sci.,
10.1177/0956797613509112

A neurocomputational theory of how explicit learning bootstraps early procedural learning,

E. J. Paul and F. G. Ashby
Front. Comput. Neurosci.,
10.3389/fncom.2013.00177

Erasing the engram: the unlearning of procedural skills

M. J. Crossley, F. G. Ashby, and W. T. Maddox
J. Exp. Psychol. Gen.,
10.1037/a0030059

Brain activity across the development of automatic categorization: A comparison of categorization tasks using multi-voxel pattern analysis

F. A. Soto, J. G. Waldschmidt, S. Helie, and F. G. Ashby
Neuroimage,
10.1016/j.neuroimage.2013.01.008

Procedural learning of unstructured categories

M. J. Crossley, N. R. Madsen, and F. G. Ashby
Psychonomic Bulletin & Review,
10.3758/s13423-012-0312-0

Implicit and explicit categorization: A tale of four species

J. D. Smith, M. E. Berg, R. G. Cook, M. S. Murphy, M. J. Crossley, J. Boomer, B. Spiering, M. J. Beran, B. A. Church, F. G. Ashby, and R. C. Grace
Neuroscience & Biobehavioral Reviews,
10.1016/j.neubiorev.2012.09.003

Automaticity and multiple memory systems

F. Ashby and M. Crossley
WIREs Cognitive Science,
10.1002/wcs.1172

Simulating the effects of dopamine imbalance on cognition: From positive affect to Parkinson's disease

S. Hélie, E. Paul, and F. Ashby
Neural Networks,
10.1016/j.neunet.2012.02.033

Implicit and explicit category learning by capuchin monkeys (Cebus apella)

J. Smith, M. Crossley, J. Boomer, B. Church, M. Beran, and F. Ashby
Journal of Comparative Psychology,
10.1037/a0026031

A tutorial on computational cognitive neuroscience: Modeling the neurodynamics of cognition

F. Ashby and S. Hélie
Journal of Mathematical Psychology,
10.1016/j.jmp.2011.04.003

Learning and transfer of category knowledge in an indirect categorization task

S. Hélie and F. Ashby
Psychological Research,
10.1007/s00426-011-0348-1

Simulating Parkinson’s disease patient deficits using a COVIS based computational model

S. Hélie, E. Paul, and F. Ashby
Proceedings of the International Joint Conference on Neural Networks,
10.1109/IJCNN.2011.6033223

A computational model of how cholinergic interneurons protectstriataldependent learning

Ashby, G., Crossley, M.
Journal of Cognitive Neuroscience,
10.1162/jocn.2010.21523
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