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ACMD Seminar: Investigating Structure and Reliability in Spiking Neural Networks

Wilkie Olin-Ammentorp
SUNY Polytechnic Institute

Thursday, August 8, 2019, 1:00-2:00
Building 101, Lecture Room A  (VTC from Boulder)
Gaithersburg

Thursday August 8, 2019, 11:00-12:00
Building 1, Room 1107
Boulder

To view this presentation on BlueJeans, contact acmdseminar@nist.gov.

Host: Andrew Dienstfrey

Abstract: Neuromorphic computing is a growing field, which aims to create advanced information processing systems which have the power and efficiency of those seen in nature. Spiking neural networks form the basis of computing in these systems, which allows networks to communicate efficiently and compute in a temporal domain. However, many open questions about the nature of these systems remain, including what useful structures for information processing may exist, and how biological systems can reliably process information despite unreliable components.

Bio: Wilkie Olin-Ammentorp graduated in 2019 from the State University of New York Polytechnic Institute with a PhD in Nanoscale Engineering. His work focuses on analyzing and programming spiking neural networks and neuromorphic platforms.

 

Note: Visitors from outside NIST must contact Cathy Graham; (301) 975-3800; at least 24 hours in advance.

Created July 24, 2019, Updated November 15, 2019