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Slow Electronics with Reservoir Computing: Energy-Efficient Neuromorphic Edge Computing for Low-Frequency Signals
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  • Title: Slow Electronics with Reservoir Computing: Energy-Efficient Neuromorphic Edge Computing for Low-Frequency Signals
  • Author(s) Isao H. Inoue
  • Publisher: Springer (November 1, 2025); eBook (Creative Commons Licensed)
  • License(s): Creative Commons License (CC)
  • Hardcover: 167 pages
  • eBook: PDF and ePub
  • Language: English
  • ISBN-10: 9819683823
  • ISBN-13: 978-9819683826
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Book Description

This open access book discusses “slow electronics”, the study of devices processing signals with low frequencies. Computers have the remarkable ability to process data at high speeds, but they encounter difficulties when handling signals with low frequencies of less than ~100Hz.

The authors have employed Reservoir Computing with a Spiking Neural Network (SNN) to simulate the learning and inference of the brain which allows for real-time data processing in edge environments without an internet connection.

About the Authors
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