Interdisciplinary Life Science - PULSe Great research is a matter of choice

Sebastien Hélie

Sebastien Hélie Profile Picture

Assistant Professor of Psychological Sciences
Ph.D., Universite du Quebec A Montreal


Contact Info:

shelie@purdue.edu
(765) 496-2692


Training Group(s):
Integrative Neuroscience


Current 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.



Selected Publications:

Cousineau, D., Lacroix, G.L., Giguère, G., & Hélie, S. (2013). Learning curves as strong evidence for testing models: The EBRW case. Journal of Mathematical Psychology, 57, 107-116.

Soto, F.A., Waldschmidt, J.G., Hélie, S., & Ashby, F.G. (2013). Brain activity across the development of automatic categorization: A comparison of categorization tasks using multi-voxel pattern analysis. NeuroImage, 71, 284-297.

Hélie, S. & Ashby, F. G. (2012). Learning and transfer of category knowledge in an indirect categorization task. Psychological Research, 76, 292-303.

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

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.

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., 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., Roeder, J. L., & Ashby, F. G. (2010). Evidence for cortical automaticity in rule-based categorization. Journal of Neuroscience, 30, 14225-14234.

Hélie, S. & Sun, R. (2010). Incubation, insight, and creative problem solving: A unified theory and a connectionist model. Psychological Review, 117, 994-1024.

Hélie, S., Waldschmidt, J.G., & Ashby, F.G. (2010). Automaticity in rule-based and information-integration categorization. Attention, Perception, & Psychophysics, 72, 1013-1031.

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