Energy-Efficient Devices and Circuits for Neuromorphic Computing (eBook)

Farooq Ahmad Khanday (Herausgeber)

eBook Download: EPUB

2025
Elsevier Science (Verlag)
978-0-443-29982-7 (ISBN)

Infos

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. - Provides comprehensive coverage of neuromorphic computing based upon energy-efficient electronic devices and circuits- Presents practical guidance and numerous examples, making it an excellent resource for researchers, engineers, and students designing energy-efficient neuromorphic computing systems- Includes detailed coverage of emerging post-CMOS devices such as memristors and MTJs and their potential applications in energy-efficient synapses and neurons

Produkt-Details

• Erscheint lt. Verlag: 6.10.2025
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• ISBN-10: 0-443-29982-X / 044329982X
• ISBN-13: 978-0-443-29982-7 / 9780443299827