Sebastien Hélie

Degree: Ph.D. Universite du Quebec A Montreal, 2007

Research Interests:

Research interests include computational cognitive neuroscience, cognitive neuroscience, categorization, automaticity, rule learning, sequence learning, skill acquisition, intuition in decision-making and creative problem solving.

Recent Publications:

Hélie, S., Paul, E.J., & Ashby, F.G. (2012). A neurocomputational account of cognitive deficits in Parkinson's disease. Neuropsychologia, 50, 2290-2302.

Ell, S. W., Hélie, S., & Hutchinson, S. (2012). Contributions of the putamen to cognitive function. In A. Costa & E. Villalba (Eds.) Horizon in Neuroscience. Volume 7 (pp. 29-52). Nova Publishers.

Hélie, S. & Ashby, F. G. (2012). Learning and transfer of category knowledge in an indirect categorization task. Psychological Research76, 292-303.

Hélie, S., Paul, E.J., & Ashby, F.G. (2012). Simulating the effect of dopamine imbalance on cognition: From positive affect to Parkinson’s disease.Neural Networks, 32, 74-85.

Sun, R., & Hélie, S. (2012). Reasoning with heuristics and induction: An account based on the CLARION cognitive architecture. Proceedings of the International Joint Conference on Neural Networks (pp. 1359-1366). Brisbane, AU: IEEE Press.

Hélie, S. (Ed.). (2013). The Psychology of Problem Solving: An Interdisciplinary Approach. Nova Science Publishers.

Sun, R., & Hélie, S. (2013). Psychologically realistic cognitive agents: Taking human cognition seriously. Journal of Experimental & Theoretical Artificial Intelligence. 25, 65-92.

Hélie, S. & Sun, R. (2013). Implicit cognition in problem solving. In. S. Hélie (Ed.) The Psychology of Problem Solving: An Interdisciplinary Approach. Nova Science Publishers.

Cousineau*, D., & Hélie, S. (2014). Outstanding data sets: A new category of articles that promotes modelling published in the Quantitative Methods for Psychology. The Quantitative Methods for Psychology10, 1-4.

Filoteo*, J.V., Paul, E.J., Ashby, F.G., Frank, G.K.W., Hélie*, S., Rockwell, R., Bischoff- Grethe, A., Wierenga, C., & Kaye, W.H. (2014). Simulating category learning and set shifting deficits in patients weight-restored anorexia nervosa. Neuropsychology28, 741-751.

Hélie*, S. & Sun, R. (2014). An integrative account of memory and reasoning phenomena. New Ideas in Psychology35, 36-52.

Hélie*, S. & Sun, R. (2014). Autonomous Learning in Psychologically-Oriented Cognitive Architectures: A Survey. New Ideas in Psychology34, 37-55.

Hélie*, S., & Cousineau, D. (2015). Differential effect of visual masking in perceptual categorization. Journal of Experimental Psychology: Human Perception and Performance, 41, 816-825.

Hélie*, S., Ell, S.W., & Ashby, F.G. (2015). Learning robust cortico-frontal associations with the basal ganglia: An integrative review. Cortex, 64, 123-135.

Hélie*, S., Ell, S.W., Filoteo, J.V., & Maddox*, W. T. (2015). Criterion learning in rule-based categorization: Simulation of neural mechanism and new data. Brain and Cognition, 95, 19-34.

Hélie*, S., & Paul, E. J. (2015). Computational models of Parkinson's disease cognitive deficits. Scholarpedia, 10, 32137 (10 pages).

Hélie*, S., Roeder, J. L., Vucovich, L., Rünger, D., & Ashby*, F. G. (2015). A neurocomputational model of automatic sequence production. Journal of Cognitive Neuroscience, 27, 1412-1426.

Hélie*, S. & Sun, R. (2015). Cognitive architectures and agents. In J. Kacprzyk & W. Pedrycz (Eds.) Springer Handbook of Computational Intelligence (pp. 683-696). Springer.

Sun*, R., & Hélie*, S. (2015). Accounting for creativity within a psychologically realistic cognitive architecture. In T. R. Besold, M. Schorlemmer, & A. Small (Eds.) Computational Creativity Research: Towards Creative Machines (pp. 151-166). Springer.

Donaldson*, K., Ait Oumeziane, B., Hélie, S., & Foti*, D. (2016). The temporal dynamics of reversal learning: P3 amplitude predicts valence-specific behavioral adjustment. Physiology & Behavior, 161, 24–32.

Hélie*, S. & Fleischer*, P. (2016). Simulating the effect of reinforcement learning on neuronal synchrony and periodicity in the striatum. Frontiers in Computational Neuroscience, 10, 40. (12 pages)

Shamloo*, F. & Hélie, S.* (2016). Changes in default mode network as automaticity develops in a categorization task. Behavioural Brain Research, 313, 324–333.

Ell, S. W., Smith, D. B., Peralta, G., & Hélie, S. (2017). The impact of category structure and training methodology on learning and generalizing within–category representations. Attention, Perception, & Psychophysics, 79, 1777-1794.

Hélie, S. (2017). Practice and preparation time facilitate system–switching in perceptual categorization. Frontiers in Psychology, 8, 1964.

Hélie, S. (2017). The effect of integration masking on visual processing in perceptual categorization. Brain and Cognition, 116, 63-70.

Hélie, S., Shamloo, F., & Ell, S. (2017). The effect of training methodology on knowledge representation in categorization. PLOS ONE, 12, e0183904.

Hélie, S., Shamloo, F., Novak, K., & Foti, D. (2017). The roles of valuation and reward processing in cognitive function and psychiatric disorders. Annals of the New York Academy of Sciences, 1395, 33-48.

Hélie, S., Turner, B., Crossley, M., Ell, S., & Ashby, F. (2017). Trial–by–trial identification of categorization strategy using iterative decision bound modeling. Behavior Research Methods, 49, 1146-1162.

Sebastien Hélie

Associate Professor, Mathematical and Computational Cognitive Science , Cognitive Psychology and Neuroscience

Mailing Address:
Department of Psychological Sciences
Purdue University
703 Third Street
West Lafayette, IN 47907-2081 USA

Campus Address:
Peirce Hall, Room 359

E-mail: shelie@purdue.edu
Telephone: (765) 496-2692
Website

Psychological Sciences, 703 Third Street, West Lafayette, IN 47907, (765) 494-6061 FAX: (765) 496-1264

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