Analyzing the Scaling of Connectivity in Neuromorphic Hardware and in Models of Neural Networks

In recent years, neuromorphic hardware systems have significantly grown in size. With more and more neurons and synapses integrated in such systems, the neural connectivity and its configurability have become crucial design constraints. To tackle this problem, we introduce a generic extended graph d...

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Veröffentlicht in:	IEEE transactions on neural networks Jg. 22; H. 6; S. 919 - 935
Hauptverfasser:	Partzsch, J, Schuffny, R
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.06.2011 Institute of Electrical and Electronics Engineers
Schlagworte:	Algorithms Analytical models Applied sciences Artificial intelligence Artificial neural networks Biological system modeling Computational modeling Computer science; control theory; systems Computer Simulation Computer systems and distributed systems. User interface Computer-Aided Design Connectionism. Neural networks Connectivity Equipment Design Equipment Failure Analysis Exact sciences and technology Hardware Image Interpretation, Computer-Assisted - methods Models, Theoretical network scaling network topology Neural Networks (Computer) neuromorphic hardware Neuromorphics Neurons Pattern Recognition, Automated - methods Signal Processing, Computer-Assisted - instrumentation Software Circuit design Locality neuromorphic hardware Neural network Distributed system network scaling Computational complexity Scale model Modeling Circuit architecture Synapse Network topology Biomimetics Classification Size effect Connectivity
ISSN:	1045-9227, 1941-0093, 1941-0093
Online-Zugang:	Volltext
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