Implementation of signal processing tasks on neuromorphic hardware
Because of power and reliability issues, computer architects are forced to explore new types of architectures, such as heterogeneous systems embedding hardware accelerators. Neuromorphic systems are good candidate accelerators that can perform efficient and robust computing for certain classes of ap...
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Published in | The 2011 International Joint Conference on Neural Networks pp. 1120 - 1125 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.07.2011
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Subjects | |
Online Access | Get full text |
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