Cortical Networks for Cognitive Interaction

Peter Ford Dominey is a Research Director with the CNRS in Lyon France. He completed the BA at Cornell University in 1984 in cognitive psychology and artificial intelligence. In 1989 and 1993 respectively he obtained the M.Sc. and Ph.D. in computer science from the University of Southern California, developing neural network models of sensorimotor sequence learning, including the first simulations of the role of dopamine in sensorimotor associative learning. From ...

The goal of my Phd is to create a programm for a human-robot intercation (HRI).The main characteristics of it are:* The robot has to learn via the interaction with the user.* The user is a naive personn, no computer science knowledge is necessary.* The robot has to create new representations for each behavior.* The user can reuse these representations.* The interaction has to be as fluently as possible.In order to achieve this aim, I don't adopt a classical AI point of view but rather "developmental ...

PhD Student

My main research interests are integrative models of language comprehension, and the neurophysiology of speech perception and speech comprehension.Theme 1: Integrative models of language comprehension: from human brain to humanoid roboticsMy main line of research consists first in the elaboration of theoretical models of human language comprehension based on the neurophysiology of the human brain  and second in the validation of predictions drawn from these models in neurophysiological (ERPs) ...

CHRIS Project

Mehdi Khamassi is a post-doc fellow in the team of Peter Ford Dominey and Emmanuel Procyk. His work aims at proposing a computational model of the dorsolateral prefrontal and anterior cingulate cortices' involvement in the exploration-exploitation trade-off during visuo-motor sequences learning.

He completed a Master Degree in Cognitive Science at Université Pierre et Marie Curie in 2003, and another Master Degree in Computer Science & Engineering at CNAM-ENSIIE in 2003. He ...

As a member of Dominey's Team, I work on improving how robots can cooperate with humans.

How can we modelise the cooperation ability, what is the goal of an action or a task and how to understand it ? These are some questions which I try to answer. My main approach is to define and use neural network based models in order to mimic various cognitives functions.

By linking all these models to a high level model of cognition, I hope to be able to build the ground of a new theory ...

The Nature and Content of Event Descriptions.  One of the most amazing capacities of the human mind is the ability to perceive letter shapes on a page or rapid patterns of sound waves and transform this visual or auditory code into meaningful concepts and ideas. These resulting representations and the process by which they are constructed have been the focus of my empirical studies, with specific emphasis on the comprehension of described events. I have developed a program of research ...

Jocelyne Ventre-Dominey is Senior Researcher at INSERM-U846 in Lyon, France. She received her PhD at University Claude Bernard in Lyon in 1982 studying the implication of cortex in visual vestibular functions in the cat and macaque. During her thesis, she described for the first time the role of the posterior cerebral cortex in vestibular function and its anatomical correlates as direct projections from cortex to the vestibular nuclei. During her 2 years ...