pdf file BENGOETXEA A, LEURS F, HOELLINGER T, CEBOLLA AM, DAN B, MCINTYRE J, CHERON G. (2014) Physiological modules for generating discrete and rhythmic movements: action identification by a dynamic recurrent neural network. Front Comput Neurosci. 2014 Sep 17;8:100.
pdf file CHERON G, DUVINAGE M, CASTERMANS T, LEURS F, CEBOLLA AM, BENGOETXEA A, DE SAEDELEER C, PETIEAU M, HOELLINGER T, SEETHARAMAN K, DRAYE JP and DAN B. (2011) Toward an Integrative Dynamic Recurrent Neural Network for Sensorimotor Coordination Dynamics. Recurrent Neural Networks for Temporal Data Processing, ISBN: 978-953-307-685-0.
pdf file BENGOETXEA A, DAN B, LEURS F, CEBOLLA AM, DE SAEDELEER C, GILLIS P, CHERON G., (2010) Rhythmic muscular activation pattern for fast figure-eight movement. Clin Neurophysiol. 2010 May;121(5):754-65
pdf file CHERON G., CEBOLLA A., BENGOETXEA A., LEURS, F. and DAN B., (2007) Recognition of the physiological actions of the triphasic EMG pattern by a dynamic recurrent neural network. Neuroscience Letters 414:192-196
BENGOETXEA A, LEURS F, CEBOLLA A, WELLENS S, DRAYE JP, CHERON G.(2005) A dynamic recurrent neural network for drawing multi-directional trajectories. Comput Methods Biomech Biomed Engin. Supp. 8:29-30.

F. LEURS, A. BENGOETXEA, A. CEBOLLA, G. CHERON, (2005). Reproducibility of the identification process of stump muscle EMG in prosthetic gait by a dynamic recurrent neural network. Comput. Methods Biomech. Biomed. Engin. Supp 1:181

pdf file CHERON, G., LEURS, F., BENGOETXEA, A., LOONIS, A., DRAYE, J.P. and DAN, B. (2003) A dynamic recurrent neural network for multi-muscles electromyographic mapping to elevation angles of the lower limb in human locomotion. Journal of Neuroscience Methods 129(2):95-104.
pdf file DRAYE, J.P., WINTERS, J.M., CHERON, G. (2002) Self-selected modular recurrent neural networks with postural and inertial subnetworks applied to complex movements. Biological Cybernetics 87(1):27-39.
DRAYE, J.P. and CHERON, G. (2001). Simulation of the human oculomotor integrator using a dynamic recurrent neural network. In Plausible Networks for Biological Modelling. Eds H.A.K. Mastebroek and J.E. VOS. Kluwer Academic Publishers, Netherlands , 91-115

pdf file DRAYE, J.P., PAVISIC, D., CHERON, G. and LIBERT, G. (1997) Improved signal processing with dynamic recurrent neural models using ARMA-like units. Proceedings of the IEEE International Symposium on Circuits and Systems I, 525-528.
pdf file DRAYE, J.P., CHERON, G., PAVISIC, D. and LIBERT, G. (1997) Improved identification of the human shoulder kinematics with muscle biological filters. Lecture Note Series in Computer Science 1211: 417-428.

pdf file DRAYE, J.P., CHERON, G.,BOURGEOIS, M., PAVISIC, D., LIBERT, G. (1997) Improved identification of complex temporal systems with dynamic recurrent neural networks. Application to the identification of electromyography and human arm trajectory relationship. Journal of Intelligent Systems Special Issue on Neural Networks Applications 7: 83-102.
DRAYE, J.P., PAVISIC, D., CALDERON, G. ,TERAN, R., CHERON, G. and LIBERT, G. (1997) Inhibitory initial weights improve the speed and quality of recurrent neural network learning. Neurocomputing 16, 3: 207-224.

pdf file DRAYE, J.P., CHERON, G. LIBERT, G. and GODAUX, E. (1997) Emergence of clusters in the hidden layer of a dynamic recurrent neural network. Biological Cybernetics 76: 365-374.

DRAYE, J.P. PAVISIC, D., CHERON, G. and LIBERT, G. (1997). Evidence of efficiency of recurrent neural networks with ARMA-like units. Proceeedings of the 4th European Symposium on Artificial Neural Networks (ESANN"97") pp 327-332.

pdf file PAVISIC, D., DRAYE, J.P., TERAN, R., CALDERON, G., CHERON, G. and LIBERT, G. (1996) Negative initial weights improve learning in recurrent neural networks. Proceeedings of the 4th European Symposium on Artificial Neural Networks (ESANN"96) pp 43-48.

pdf file DRAYE, J.P., PAVISIC, D., CHERON, G., LIBERT, G. (1996). Adaptative time constants improve the dynamic features of recurrent neural networks. Proceeedings of the 4th European Symposium on Artificial Neural Networks (ESANN"96) pp 31-36.
pdf file DRAYE, J.P., CHERON, G., LIBERT, G. and GODAUX, E. (1996). Improvements of the neural network simulation of the vestibulo-oculomotor integrator. Annals of the New York Academy of Sciences 781:594-597.
pdf file DRAYE, J.P., PAVISIC, D., CHERON, G. and LIBERT, G. (1996). Dynamic recurrent neural networks: a dynamical analysis. IEEE Transactions on Systems Man, and Cybernetics 26. 5: 692-706.

pdf file CHERON, G., DRAYE, J.P., BOURGEOIS, M. and LIBERT, G. (1996). A dynamic neural network identification of electromyography and arm trajectory relationship during complex movements. IEEE Transactions on Biomedical Engineering 43.5: 552-558.

pdf file DRAYE, J.P., PAVISIC, D., CHERON, G. and LIBERT, G. (1995) Analysis of the influence of adaptative time constants on the dynamical behaviour of reccurrent neural networks. Proceedings of the International Conference on Artificial Neural Networks (ICANN'95') II, 455-460.
DRAYE, J.P., CHERON, G., BOURGEOIS, M., PAVISIC, D. and LIBERT, G.(1995) Identification of the human arm kinetics using dynamic recurrent neural networks. Proceedings of the third European Symposium on Artificial Neural Networks (ESANN'95), pp 33-38.
pdf file DRAYE, J.P., PAVISIC, D., CHERON, G. and LIBERT, G. (1995) Adaptative time constant improved the prediction capacity of recurrent neural network. Neural Processing Letters, 2, n°3: 1-5.
DRAYE, J.P., CHERON, G., LIBERT, G. and GODAUX, E. (1993). Simulation of the neural integrator of the oculomotor system: a biologically plausible model. Proceedings IVth International Symposium on Computer Simulation in Biomechanics ( Paris ), pp 2-5.