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Spiking neural network for nonlinear regression. (arXiv:2210.03515v1 [cs.NE])
Oct. 10, 2022, 1:12 a.m. | Alexander Henkes, Jason K. Eshraghian, Henning Wessels
cs.LG updates on arXiv.org arxiv.org
Spiking neural networks, also often referred to as the third generation of
neural networks, carry the potential for a massive reduction in memory and
energy consumption over traditional, second-generation neural networks.
Inspired by the undisputed efficiency of the human brain, they introduce
temporal and neuronal sparsity, which can be exploited by next-generation
neuromorphic hardware. To open the pathway toward engineering applications, we
introduce this exciting technology in the context of continuum mechanics.
However, the nature of spiking neural networks poses …
arxiv network neural network regression spiking neural network
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