Brain-Inspired Computing: From Neural Dynamics to Computational Processing

This talk gives an overview of on-going research combining computational neuroscience and reconfigurable computing. Neuroscience techniques and our understanding of the brain’s circuits are rapidly advancing, but a large gap exists in transitioning this knowledge to computing hardware suitable for advanced neural information processing applications. To this end, a team of researchers from the University of Rhode Island, Brown University, Baylor University and NUWC are studying the dynamical equations that govern various neural networks and are attempting to replicate these dynamics in reconfigurable silicon.  The groundwork laid by this research is intended to form the basis for new capabilities in autonomous sensing and information processing for leading-edge Naval technologies.

Acknowledgement:

Dr. John DiCecco, also of NUWC Division Newport, was instrumental in compiling this presentation.  Dr. Dicecco is also an Adjunct Assistant Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island.

Speaker(s): Dr. Jason Gaudette,

Agenda:

5:00 PM, Welcome and Refreshments; 5:30 PM, Presentation. To make reservations use the CLICK HERE TO REGISTER button. For questions and registration issues please contact Benjamin McPheron (b.d.mcpheron@ieee.org). Prices for presentation only: IEEE Members, Graduate Student Members (GSMs), Student Members, Students and one guest each, Free; Others, $7.00. Payment can be paid in person by check or cash at the meeting.

Location:
Room: 124
Bldg: RWU School of Engineering
One Old Ferry Rd
Bristol, Rhode Island
02809