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. & Sun, R. (2011). How the Core Theory of CLARION Captures Human Decision-Making. Proceedings of the International Joint Conference on Neural Networks (pp. 173-180). San Jose, CA: IEEE Press.

Ashby, F. G. & Hélie, S. (2011). A Tutorial on Computational Cognitive Neuroscience: Modeling the Neurodynamics of Cognition. Journal of Mathematical Psychology, 55, 273-289.

Hélie, S. & Cousineau, D. (2011). The cognitive neuroscience of automaticity: Behavioral and brain signatures. Cognitive Sciences, 6, 25-43.

Hélie, S., Paul, E. J., & Ashby, F. G. (2011). Simulating Parkinson’s disease patient deficits using a COVIS-based computational model. Proceedings of the International Joint Conference on Neural Networks (pp. 207-214). San Jose, CA: IEEE Press.

Hélie, S., Proulx, R., & Lefebvre, B. (2011). Bottom-up learning of explicit knowledge using a Bayesian algorithm and a new Hebbian learning rule.Neural Networks, 24, 219-232.

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.

Sebastien Hélie

Associate Professor, Mathematical and Computational Cognitive Science and Cognitive Psychology

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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