A new technical paper titled “Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware” was published by researchers at Purdue University, Pennsylvania State University, and Yale University.
Excerpt from Abstract:
“In this article, we outline several strides that neuromorphic computing based on spiking neural networks (SNNs) has taken over the recent past, and we present our outlook on the challenges that this field needs to overcome to make the bio-plausibility route a successful one.”
Find the technical paper here. Published March 2023.
Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, and Kaushik Roy. 2023. Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. ACM Comput. Surv. 55, 12, Article 243 (December 2023), 49 pages. https://doi.org/10.1145/3571155.
Source: https://semiengineering.com/spiking-neural-networks-hardware-algorithm-developments/
