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Energy-Efficient Devices and Circuits for  Neuromorphic Computing

Energy-Efficient Devices and Circuits for Neuromorphic Computing

          
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About the Book

Energy-Efficient Devices and Circuits for Neuromorphic Computing is an important contribution to this field, covering topics from neuron dynamics to energy-efficient CMOS devices and circuits. The book delves into theoretical analysis of learning processes in spiking neural networks, two-terminal neuromorphic devices, material-engineered neuromorphic devices, and novel biomimetic Si devices. It offers insights into the latest developments in non-volatile memory crossbar arrays and emerging post-CMOS devices. Overall, it provides a comprehensive overview of energy-efficient neuromorphic computing architecture. This book is an essential resource for researchers, engineers, and students working in neuromorphic computing and energy-efficient electronics.

Table of Contents:
1. Biological neural systems NEW 2. Fundamentals of neuron dynamics and Neural Networks NEW 3. Foundations, recent developments and applications of spiking neural networks (SNNs) 4. Training and learning processes of SNNs 5. Introduction to Neuromorphic Computing 6. The Need for Energy Efficiency in Neuromorphic Computing v Review of Neuromorphic devices and Circuits 7. Energy-efficient devices for Neuromorphic computing 8. Novel biomimetic devices for energy efficient synapses and neurons OLD 9. Analog and Digital CMOS circuits for Energy Efficient Neuromorphic Computing 10. Energy-efficient Neuromorphic computing systems with emerging post-CMOS devices 11. Energy Efficient Neuromorphic Computing Architectures and Processing 12. Nonvolatile memory crossbar arrays for energy efficient neuromorphic computing 13. Energy Efficient Neuromorphic Vision Systems 14. Neuromorphic sensors and in-sensor computing 15. Practical Applications of Energy-Efficient Neuromorphic Computing 16. Current and future challenges of Neuromorphic Computing


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Product Details
  • ISBN-13: 9780443299810
  • Publisher: Elsevier - Health Sciences Division
  • Publisher Imprint: Elsevier - Health Sciences Division
  • Height: 235 mm
  • No of Pages: 540
  • ISBN-10: 0443299811
  • Publisher Date: 06 Oct 2025
  • Binding: Paperback
  • Language: English
  • Width: 191 mm


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Energy-Efficient Devices and Circuits for  Neuromorphic Computing
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