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Research Area:

Computational Neuroscience

Description

As part of a larger interdisciplinary brain sciences initiative at Brown, neuroinformatics combines neuroscience and informatics in order to advance our understanding of how the brain works. Methods from various branches of computer science are used to visualize, model, and simulate neural processes. Areas of particular interests include human-computer interfaces, computational and statistical models of sensory processing and motor control, adaptivity and learning in the brain, and the use of computer graphics to enhance brain-imaging technology.

Faculty

Michael J. Black
Thomas Dean
Chad Jenkins
David H. Laidlaw

Topics or Projects

Neural Coding
Neural Prostheses
Computational Models of the Neocortex
Computational Neuroscience
Visual Psychophysics
Spike Sorting
Brain Machine Interfaces

Page Owner: Michael Black Last Modified: Mon Oct 23 11:47:21 2006