Semiconductor Memory Devices for Hardware-Driven Neuromorphic Systems

Semiconductor Memory Devices for Hardware-Driven Neuromorphic Systems

This book aims to convey the most recent progress in hardware-driven neuromorphic systems based on semiconductor memory technologies. Machine learning systems and various types of artificial neural networks to realize the learning process have mainly focused on software technologies. Tremendous adva...

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Bibliographic Details
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Energy industries & utilities
Technology: general issues
3-D neuromorphic system
3-D stacked synapse array
a-IGZO memristor
benchmarking neuromorphic HW
bimodal distribution of effective Schottky barrier height
Boyer-Moore
charge-trap flash synapse
DNA matching algorithm
energy consumption
flexible electronics
gradual and abrupt modulation
hardware-based neuromorphic system
ionized oxygen vacancy
leaky integrate-and-fire neuron
MPI for neuromorphic HW
neural network
neuromorphic engineering
neuromorphic platform
neuromorphic system
non filamentary resistive switching
on-chip learning
organic field-effect transistors
overlapping pattern issue
pattern recognition
Schottky barrier tunneling
short-term plasticity
Si processing compatibility
spiking neural network
spinMPI
spiNNaker
synaptic device
synaptic devices
TCAD device simulation
vanadium dioxide
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