Energy-Efficient Devices and Circuits for Neuromorphic Computing

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.