 | 2011 |
| 12 |  | Sébastien Hélie,
Ron Sun:
How the core theory of CLARION captures human decision-making.
IJCNN 2011: 173-180 |
| 11 |  | Sébastien Hélie,
Erick J. Paul,
F. Gregory Ashby:
Simulating Parkinson's disease patient deficits using a COVIS-based computational model.
IJCNN 2011: 207-214 |
| 10 |  | Sébastien Hélie,
Robert Proulx,
Bernard Lefebvre:
Bottom-up learning of explicit knowledge using a Bayesian algorithm and a new Hebbian learning rule.
Neural Networks 24(3): 219-232 (2011) |
| 2010 |
| 9 |  | Sébastien Hélie,
Ron Sun:
Creative problem solving: A CLARION theory.
IJCNN 2010: 1-7 |
| 2009 |
| 8 |  | Sébastien Hélie,
F. Gregory Ashby:
A neurocomputational model of automaticity and maintenance of abstract rules.
IJCNN 2009: 1192-1198 |
| 7 |  | Sébastien Hélie,
Ron Sun:
Simulating incubation effects using the Explicit Implicit Interaction with Bayes Factor (EII-BF) model.
IJCNN 2009: 1199-1205 |
| 2008 |
| 6 |  | Sébastien Hélie:
Energy minimization in the nonlinear dynamic recurrent associative memory.
Neural Networks 21(7): 1041-1044 (2008) |
| 2006 |
| 5 |  | Sébastien Hélie,
Gyslain Giguère,
Denis Cousineau,
Robert Proulx:
Using knowledge partitioning to investigate the psychological plausibility of mixtures of experts.
Artif. Intell. Rev. 25(1-2): 119-138 (2006) |
| 4 |  | Sébastien Hélie,
Sylvain Chartier,
Robert Proulx:
Are unsupervised neural networks ignorant? Sizing the effect of environmental distributions on unsupervised learning.
Cognitive Systems Research 7(4): 357-371 (2006) |
| 2004 |
| 3 |  | Sébastien Hélie,
Sylvain Chartier,
Robert Proulx:
Applying Fuzzy Logic to Neural Modeling.
ICCM 2004: 352-353 |
| 2 |  | Sébastien Hélie:
Emergence of Bayesian Structure from Recurrent Networks.
ICCM 2004: 408-409 |
| 2003 |
| 1 |  | Denis Cousineau,
Guy L. Lacroix,
Sébastien Hélie:
redefining the rules: providing race models with a connectionist learning rule.
Connect. Sci. 15(1): 27-43 (2003) |