GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures
Author:
Affiliation:
1. University of Arizona,Department of Electrical & Computer Engineering,Tucson,AZ
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10548018/10548050/10548776.pdf?arnumber=10548776
Reference20 articles.
1. Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores
2. Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware
3. A review of non-cognitive applications for neuromorphic computing
4. 2022 roadmap on neuromorphic computing and engineering
5. Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook
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