PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network-Reference-Cited by-同舟云学术

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PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 International Joint Conference on Neural Networks (IJCNN)
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Author:

Balaji Adarsha,Adiraju Prathyusha,Kashyap Hirak J.,Das Anup,Krichmar Jeffrey L.,Dutt Nikil D.,Catthoor Francky

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9200848/9206590/09207142.pdf?arnumber=9207142

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SENSIM: An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Data Driven Learning of Aperiodic Nonlinear Dynamic Systems Using Spike Based Reservoirs-in-Reservoir;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Clustering and Allocation of Spiking Neural Networks on Crossbar-Based Neuromorphic Architecture;Proceedings of the 21st ACM International Conference on Computing Frontiers;2024-05-07

4. A Novel Implementation Methodology for Error Correction Codes on a Neuromorphic Architecture;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-12

5. Neuromorphic Computing between Reality and Future Needs;Neuromorphic Computing;2023-11-15

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