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Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II

Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II

Lei Deng ¹, Huajin Tang ^2,3, Kaushik Roy ⁴

Lei Deng ¹, Huajin Tang ^2,3, Kaushik Roy ⁴

¹Department of Precision Instrument, Center for Brain Inspired Computing Research, Tsinghua University, Beijing, China.
²College of Computer Science and Technology, The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China.
³MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University, Hangzhou, China.
⁴Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States.

⁰Department of Precision Instrument, Center for Brain Inspired Computing Research, Tsinghua University, Beijing, China.

Frontiers in Computational Neuroscience +

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October 18, 2024

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Summary

No abstract available on PubMed

Keywords:

artificial neural networks machine learning neuromorphic computing neuromorphic hardware spiking neural networks

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