Peer-reviewed journal publications
- Dandurand, F., & Shultz, T. R. (2014). A comprehensive model of development on the balance-scale Task. Cognitive Systems Research, 31-32, 1-25.
- Dandurand, F., Grainger, J., & Hannagan, T. (2013). Computational models of location-invariant orthographic processing. Connection Science, 25 (1), 1-26.
- Dandurand, F., Shultz, T. R., & Rey, A. (2012). Including cognitive biases and distance-based rewards in a connectionist model of complex problem solving. Neural Networks, 25, 41-56.
- Dandurand, F., Grainger, J., Duñabeitia, J. A., & Granier, J.-P. (2011). On coding non-contiguous letter combinations. Frontiers in Psychology, 2(136), 1-12. doi:10.3389/fpsyg.2011.00136
- Hannagan, T., Dandurand, F., & Grainger, J. (2011). Broken symmetries in a location invariant word recognition network. Neural Computation, 23(1), 251-283.
- Dandurand, F., & Shultz, T. R. (2011). Automatic Maxima Detection: A graphical user interface and a tutorial. Tutorials in Quantitative Methods for Psychology, 7(2), 21-31.
- Dandurand, F., & Shultz, T. R. (2010). Automatic detection and quantification of growth spurts. Behavior Research Methods, 42(3), 809-823.
(Automatic Maxima Detection (AMD) code for Matlab) - Dandurand, F., Grainger, J., & Dufau, S. (2010). Learning location invariant orthographic representations for printed words. Connection Science, 22(1), 25-42.
- Glotin, H., Warnier, P., Dandurand, F., Dufau, S., Lété, B., Touzet, C., Ziegler, J. C., et al. (2010). An Adaptive Resonance Theory account of the implicit learning of orthographic word forms. Journal of Physiology, Paris, 104(1-2), 19-26.
- Dandurand, F., & Shultz, T. R. (2009). Connectionist models of reinforcement, imitation, and instruction in learning to solve complex problems. IEEE Transactions on Autonomous Mental Development, 1(2), 110 - 121.
- Dandurand, F., Shultz, T. R., & Onishi, K. H. (2008). Comparing online and lab methods in a problem-solving experiment. Behavior Research Methods, 40(2), 428-434.
(Play version of the task described available at http://lnsclab.org/members/Frederic.Dandurand/code/GizmoTask/) - Dandurand, F., Berthiaume, V., & Shultz, T. R. (2007). A systematic comparison of flat and standard cascade-correlation using a student-teacher network approximation task. Connection Science, 19(3), 223-244.
- Shultz, T. R., Rivest, F., Egri, L., Thivierge, J.-P., & Dandurand, F. (2007). Could knowledge-based neural learning be useful in developmental robotics? The case of KBCC. International Journal of Humanoid Robotics, 4(2), 245-279.
- Dandurand, F., & Shultz, T. R. (2002). Modeling consciousness (Commentary on Perruchet & Vinter: The self-organizing consciousness). Behavioral and Brain Sciences, 25(3), 334.
- Dandurand F., & Lowther D. A. (1999). Electromagnetic device performance identification using knowledge based neural networks. IEEE Transactions on Magnetics, 35(3), 1817-1820.
- Seguin, J., Dandurand, F., Lowther, D. A., & Sykulski, J.K. (1999). The optimisation of electromagnetic devices using a combined finite element / neural network approach with on-line training. The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 18(3), 266-274.