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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Bibliographic Details
Published inThe 2011 International Joint Conference on Neural Networks pp. 1120 - 1125
Main Authors Temam, O., Heliot, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
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