Extensions and enhancements for the DANNA neuromorphic architecture

Dynamic Adaptive Neural Network Arrays (DANNAs) are neuromorphic systems that have been developed for hardware implementation. They feature highly adaptive and programmable structural elements, which model artificial neural networks with spiking behavior. In this paper, we highlight the current hard...

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Published inProceedings of IEEE Southeastcon pp. 1 - 4
Main Authors Daffron, Christopher, Chan, Jason, Disney, Adam, Bechtel, Luke, Wagner, Ryan, Dean, Mark E., Rose, Garrett S., Plank, James S., Birdwell, J. Douglas, Schuman, Catherine D.
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.03.2016
Subjects
Arrays
Artificial neural networks
Biological neural networks
Clocks
Computational modeling
Computer architecture
Dynamical systems
Dynamics
Field programmable gate arrays
Hardware
Neural networks
Neurons
Programming
Spiking
Structural members
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Summary:Dynamic Adaptive Neural Network Arrays (DANNAs) are neuromorphic systems that have been developed for hardware implementation. They feature highly adaptive and programmable structural elements, which model artificial neural networks with spiking behavior. In this paper, we highlight the current hardware implementations of DANNA, including their features and functionalities. We conclude with future directions.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
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SourceType-Conference Papers & Proceedings-2
ISSN:1558-058X
DOI:10.1109/SECON.2016.7506700