Publication Type
Conference Paper
Book Title
44th Annual GOMACTech Conference
Publication Date
Page Numbers
1 to 7
Conference Name
44th Annual GOMACTech Conference
Conference Location
Albuquerque, New Mexico, United States of America
Conference Sponsor
Department of Defense
Conference Date
-
Abstract
Recurrent, spiking neuromorphic systems (RSNS’s) have several desirable features compared to conventional neural networks when applied to applications that require real-time control. The TENNLab Exploratory Neuromorphic Computing Framework contains a variety of real-time control applications that use LIDAR for input, and allow a trained RSNS to make real-time decisions for navigation, surveillance and targeting. While each application is interesting on its own, the collection of applications is very useful for benchmarking RSNS’ s, evaluating training algorithms, and designing neuromorphic processing elements. In this paper, we describe the applications that compose the suite, and use them to benchmark four different RSNS’s.