NeuroMorse: a temporally structured dataset for neuromorphic computing

Neuromorphic engineering aims to advance computing by mimicking the brain’s efficient processing, where data is encoded as asynchronous temporal events. This eliminates the need for a synchronisation clock and minimises power consumption when no data is present. However, many benchmarks for neuromor...

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Bibliographic Details

Published in:	Neuromorphic Computing and Engineering
Main Authors:	Ben Walters, Yeshwanth Bethi, Taylor Kergan, Binh Nguyen, Amirali Amirsoleimani, Jason K Eshraghian, Saeed Afshar, Mostafa Rahimi Azghadi
Format:	Article
Language:	English
Published:	IOP Publishing 2025-01-01
Subjects:	neuromorphic computing benchmarks spiking neural networks
Online Access:	https://doi.org/10.1088/2634-4386/add36c