The Complete Guide to Spiking Neural Networks

Author(s): Ali Moezzi

Originally published on Towards AI.

Everything you need to know about Spiking Neural Networks from architecture, temporal behavior, and encoding to neuromorphic hardware

The world of artificial intelligence is rapidly changing, especially when with it comes to another branch of neural network that is beginning to gain attention: spiking neural networks (SNNs). In this comprehensive guide, we’ll explore what SNNs are, their neuroscience basis, modeling techniques, properties, and roles in intelligence. We’ll also discuss their input encoding, types, the training procedure for SNNs and an overview of neuromorphic hardware such as Intel Loihi. By the end of this guide, you’ll have a better understanding of the unique advantages of SNNs and how they can be used to efficiently solve difficult tasks.

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Published via Towards AI