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.
 
                                    
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