Search
Remind me about this event. Notify me if this event changes. Add this event to my personal calendar.

Location

Disque Hall, Room 919, 32 South 32nd Street, Philadelphia, PA 19104

Audience

  • Current Students
  • Faculty

Physics Colloquium: "Spiking Neural Networks: How Natures Shortcuts Can Improve Machine Learning"

Thursday, November 13, 2014

3:30 PM-4:30 PM

Corey Hart, PhD, senior research neuroscientist, Lockheed Martin

 

For decades neuroscientists have searched for the holy grail: *The neural code*.  But what if there is no such code?  What if the basic structure of the nervous system is little more than a Rube Goldberg machine assembled under natural selection? The implications for neuromorphic computing are profound…and surprising. This may not be a bad thing. In fact, apparently random structure in real neural networks may be just what provides them with their unique computational advantages.

Contact Information

Professor Robert Gilmore
robert.gilmore@drexel.edu