Jean-Philippe Draye

发表

Evidence of efficiency of recurrent neural networks with ARMA-like units

Gaetan Libert, Jean-Philippe Draye, Davor Pavisic, 1997, ESANN.

Self-selected modular recurrent neural networks with postural and inertial subnetworks applied to complex movements

Jean-Philippe Draye, Guy Cheron, Jack M. Winters, 2002, Biological Cybernetics.

Adaptative time constants improve the prediction capability of recurrent neural networks

Gaetan Libert, Jean-Philippe Draye, Davor Pavisic, 2006, Neural Processing Letters.

Multi-joint coordination strategies for straightening up movement in humans

Jean-Philippe Draye, Guy Cheron, Ana Bengoetxea, 1998, Neuroscience Letters.

Adaptative time constant improved the prediction capacity of recurrent neural network

Guy Cheron, Gaetan Libert, Jean-Philippe Draye, 1995 .

Identification of the human arm kinetic using recurrent neural networks

Gaetan Libert, Jean-Philippe Draye, Davor Pavisic, 1995 .

Biological Signals Identification by a Dynamic Recurrent Neural Network: from Oculomotor Neural Integrator to Complex Human Movements and Locomotion

Bernard Dan, Guy Cheron, Jean-Philippe Draye, 2008 .

Improved Identification of the Human Shoulder Kinematics with Muscle Biological Filters

Gaetan Libert, Jean-Philippe Draye, Davor Pavisic, 1997, AIME.

Identification of the human arm kinetics using dynamic recurrent neural networks

Gaetan Libert, Jean-Philippe Draye, Davor Pavisic, 1995, ESANN.

Tridimentional analysis of complex drawing movements: effect of initial direction on kinematics and electromyographic signals

Jean-Philippe Draye, Guy Cheron, Ana Bengoetxea, 1996 .

Predicting a Chaotic Time Series Using a Dynamical Recurrent Neural Network

Gaetan Libert, Jean-Philippe Draye, Davor Pavisic, 1996 .

Recurrent Neural Networks: Properties and Models

Jean-Philippe Draye, J. Draye, 2001 .

An inhibitory weight initialization improves the speed and quality of recurrent neural networks learning

Gaetan Libert, Jean-Philippe Draye, Davor Pavisic, 1997, Neurocomputing.

Control of a subsonic electropneumatic acoustic generator with dynamic recurrent neural networks

Jean-Philippe Draye, Guy Cheron, Laurent Blondel, 1998, ESANN.

Dynamic recurrent neural networks: a dynamical analysis

Gaetan Libert, Jean-Philippe Draye, Davor Pavisic, 1996, IEEE Trans. Syst. Man Cybern. Part B.

Negative initial weights improve learning in recurrent neural networks

Gaetan Libert, Jean-Philippe Draye, Davor Pavisic, 1996, ESANN.

A dynamic recurrent neural network for drawing multi-directional trajectories

Jean-Philippe Draye, Guy Cheron, Ana Bengoetxea, 2005 .

Adaptative time constants improve the dynamic features of recurrent neural networks

Gaetan Libert, Jean-Philippe Draye, Davor Pavisic, 1996, ESANN.

Simulation of the Human Oculomotor Integrator Using a Dynamic Recurrent Neural Network

Jean-Philippe Draye, Guy Cheron, G. Cheron, 2001 .

Emergence of clusters in the hidden layer of a dynamic recurrent neural network

Gaetan Libert, Jean-Philippe Draye, Guy Cheron, 1997, Biological Cybernetics.

An efficient learning model for the neural integrator of the oculomotor system

Gaetan Libert, Jean-Philippe Draye, Guy Cheron, 1993, ESANN.

Active noise control with dynamic recurrent neural networks

Pierre Chapelle, Gaetan Libert, Jean-Philippe Draye, 1995, ESANN.

Analysis of the influence od adaptative time constants on the dynamical behaviour of recurrent neural networks

Gaetan Libert, Jean-Philippe Draye, Davor Pavisic, 1995 .

Development of a kinematic coordination pattern in toddler locomotion: planar covariation

Francesco Lacquaniti, Jean-Philippe Draye, Guy Cheron, 2001, Experimental Brain Research.