We are excited to announce the recipient of our 2024 Best Paper Award:

"Training Spiking Neural Networks Using Lessons From Deep Learning"

in Proceedings of the IEEE, vol. 111, no. 9, pp. 1016-1054, Sept. 2023

Congratulations to the authors: Jason Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, and Wei Lu!

Drawing insights from deep learning, circuit design, neuromorphic engineering, and medical AI, this tutorial offers an interdisciplinary perspective on how to apply modern deep learning principles to train networks of spiking neurons.

Read the paper at https://bit.ly/48w1B8g