|
Mapping Structure, Function, and Connectivity in Human and Macaque Cortex| old_uid | 8815 |
|---|
| title | Mapping Structure, Function, and Connectivity in Human and Macaque Cortex |
|---|
| start_date | 2010/06/02 |
|---|
| schedule | 15h30 |
|---|
| online | no |
|---|
| location_info | salle de réunion |
|---|
| details | Invited by Henry Kennedy and Kenneth Knoblauch |
|---|
| summary | Our laboratory studies the structure and function of mammalian cerebral cortex using novel methods of computerized brain mapping. We have developed an integrated suite of software tools for surface-based analyses of cerebral cortex. We have also developed surface-based atlases for studies of primate (human and macaque monkey) and rodent (rat and mouse) cerebral and cerebellar cortex that are accessible via the SumsDB database (http://sumsdb.wustl.edu/sums/) and online visualization software. These atlases provide a substrate for a growing compendium of published experimental data that can be easily accessed and searched.
Human cerebral cortex is no for the complexity of its convolutions and for their variability from one individual to the next. Using the human ‘PALS’ atlas developed in our laboratory, we are testing for abnormal cortical folding patterns in a number of neurological and psychiatric disorders. In Williams Syndrome, for example, we have identified several dozen distinct folding abnormalities arranged in a strikingly symmetric pattern in the two hemispheres.
Neurophysiological studies in our laboratory focus on mechanisms of form processing and pattern recognition in visual cortex of the macaque monkey. We are particularly interested in the transformations in neuronal receptive field characteristics that occur at early and intermediate processing stages.
Our computational efforts aim to develop a unified mathematical framework for modeling large-scale neural systems, including the primate visual system. This framework is grounded in the well-established principles of signal processing, statistical inference, and good engineering design, and it provides a rational and robust strategy for simulating and evaluating the function of a wide variety of specific neural circuits |
|---|
| responsibles | Vezoli |
|---|
| |
|