IEEE - Institute of Electrical and Electronics Engineers, Inc. - Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks

Author(s): Emre O. Neftci ; Hesham Mostafa ; Friedemann Zenke
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 November 2019
Volume: 36
Page(s): 51 - 63
ISSN (Electronic): 1558-0792
ISSN (Paper): 1053-5888
DOI: 10.1109/MSP.2019.2931595
Regular:

Spiking neural networks (SNNs) are nature's versatile solution to fault-tolerant, energy-efficient signal processing. To translate these benefits into hardware, a growing number of neuromorphic... View More

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