A spiking photonic neural network of 40 000 neurons, trained with latency and rank-order coding for leveraging sparsity

A spiking photonic neural network of 40 000 neurons, trained with latency and rank-order coding for leveraging sparsity

Spiking neural networks (SNNs) are neuromorphic systems that emulate certain aspects of biological neural tissue, offering potential advantages in energy efficiency and speed by for example leveraging sparsity. While CMOS-based electronic SNN hardware has shown promise, scalability and parallelism c...

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Bibliographic Details
Main Authors: Ria Talukder, Anas Skalli, Xavier Porte, Simon Thorpe, Daniel Brunner
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Neuromorphic Computing and Engineering
Subjects:
optical neural network
spiking neural network
sparse neural networks
Online Access:https://doi.org/10.1088/2634-4386/addee7
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