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.
Date and Time
Location
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Registration
- Date: 08 Sep 2016
- Time: 05:00 PM to 06:30 PM
- All times are (GMT-05:00) US/Eastern
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- One Old Ferry Rd
- Bristol, Rhode Island
- United States 02809
- Building: RWU School of Engineering
- Room Number: 124
- Starts 11 August 2016 12:00 AM
- Ends 08 September 2016 05:00 PM
- All times are (GMT-05:00) US/Eastern
- Admission fee ?
Speakers
Dr. Jason Gaudette
Brain-Inspired Computing: From Neural Dynamics to Computational Processing
Dr. Jason Gaudette currently leads the Signal Processing Algorithm Development Branch at NUWC Division Newport. Jason earned a Ph.D. in Biomedical Engineering at Brown University in May 2014, studying bio-sonar with Dr. James Simmons of the Neuroscience Department. He has authored several peer-reviewed journal articles, and has been an active member of the Acoustical Society of America since 2010. In 2015, Jason was elected to the Executive Committee of the Providence Section of the IEEE and also serves as Treasurer for the Providence IEEE Signal Processing Chapter. He received the Electrical Engineering degrees of M.S. from the University of Rhode Island in 2005 and B.S. from Worcester Polytechnic Institute in 2003. He is currently working to establish breakthrough research areas at NUWC, including bio-inspired acoustics, acoustic signal processing, machine learning, neural information processing, and reconfigurable computing for embedded acoustic applications.
Address:Rhode Island, United States
Dr. Jason Gaudette
Brain-Inspired Computing: From Neural Dynamics to Computational Processing
Biography:
Address:Rhode Island, United States
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.