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Gregory J. Gerling, Ph.D.
Assistant Professor
Systems and Information Engineering
gregory-gerling
virginia edu
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| Computational Analysis and Modeling to Decipher the
Neural Code Related
to the Sense of Touch |
Goals: To understand how populators
of touch-sensitive neurons, which are embedded in the skin, encode an
object's features into neuronal signals, which are decoded by the
brain. To design and build tactile sensors that produce biologically
accurate neural signal trains.
Projects
currently underway include:
- examining and modeling the response of a
single-neuron in a different skiin microstructurs and receptor
configurations, in mice, using a modular SA-I sensory model that
includes skin and neuron modules
- determining optimical distributions of
sensor array using 3D models
- configuring sensors and algorithms for an
artificial touch system that demonstrates the modeled concepts above
- characterizing the material properties of
the sublayers of the epidermal and dermal tissues at the level of a few
microns
Graduate
Students: Daine Lesniak, Elmer Kim, and Isabelle Rivest
Undergraduate
Students: Neal Fox
Collaborators:
Dr. Ellen Lumpkin and Scott Welnitz (Baylor College of Medicine)
Sponsors:
DARPA and National Library of Medicine |
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