
Place CSG-H451
Membre du Centre Borelli
Lyle GRAHAM
Chercheur
DR - CNRS
Status: Chercheur
Research Theme
Neurophysiology of Visual Computation
Keywords
Computational Neuroscience, Biophysical Modelling,Visual Neuroscience, In Vivo Electrophysiology
Research
Dr. Graham’s research in the mammalian visual system focuses on how biophysical properties of neurons and their networks accomplish functional computations, and is based on an interdisciplinary program of experimental and computational neuroscience.
Neural processing relies on two basic elements: First, the intrinsic biophysical properties of neurons that allow processing of synaptic input from the network, and the generation of action potentials as the computational result; second, the excitatory and inhibitory synaptic circuits of a complexity orders of magnitude greater than any humans have created. We study the dynamic interactions between these elements in the intact brain, to understand the biophysics of what the brain computes, how it does it, what code it speaks, and finally what mechanisms are implicated when information processing begins to fail.
University career
- 2009 Habilitation à Diriger des Recherches en Neurosciences, Université Paris Descartes
- 1991 PhD, Medical Engineering/Medical Physics (Computational Neuroscience), Harvard Medical School and Massachusetts Institute of Technology
- 1987 SMEE (Computational Neuroscience), Department of Electrical Engineering and Computer Science (MIT AI Laboratory), Massachusetts Institute of Technology
- 1980 BSEE (Bioengineering/Bioelectronics), Department of Electrical Engineering and Computer Science, University of California at Berkeley
Editorial
- Senior Editor (Neuroscience), Public Library of Science (PLoS) Computational Biology (2005-present)
- Editorial Board: Neurons, Behavior, Data analysis, and Theory; Turkish Journal Of Electrical Engineering and Computer Sciences; Frontiers In Neuroscience; Current Opinion in Cognitive Neurodynamics Editor (Neuroscience/Electrophysiology); Scholarpedia (past); International Journal of Neural Systems (past)