Ion-Movement-Based Synaptic Device for Brain-Inspired Computing [PDF]
Nanomaterials, 2022 As the amount of data has grown exponentially with the advent of artificial intelligence and the Internet of Things, computing systems with high energy efficiency, high scalability, and high processing speed are urgently required.
Chansoo Yoon, Gwangtaek Oh, Bae Ho Park
doaj +4 more sources
MoS2-based Charge-trapping synaptic device with electrical and optical modulated conductance
Nanophotonics, 2020 The synapse is one of the fundamental elements in human brain performing functions such as learning, memorizing, and visual processing. The implementation of synaptic devices to realize neuromorphic computing and sensing tasks is a key step to artificial
Zhang Min +9 more
doaj +2 more sources
Internal Resistor Effect of Multilayer-Structured Synaptic Device for Low-Power Operation [PDF]
NanomaterialsA synaptic device with a multilayer structure is proposed to reduce the operating power of neuromorphic computing systems while maintaining a high-density integration.
Hyejin Kim +4 more
doaj +2 more sources
Impact of Synaptic Device Variations on Classification Accuracy in a Binarized Neural Network [PDF]
Scientific Reports, 2019 Brain-inspired neuromorphic systems (hardware neural networks) are expected to be an energy-efficient computing architecture for solving cognitive tasks, which critically depend on the development of reliable synaptic weight storage (i.e., synaptic ...
Sungho Kim, Hee-Dong Kim, Sung-Jin Choi
doaj +2 more sources
An Artificial Synaptic Device Based on InSe/Charge Trapping Layer/h-BN Heterojunction with Controllable Charge Trapping via Oxygen Plasma Treatment [PDF]
MicromachinesNeuromorphic computing, an emerging computational paradigm, aims to overcome the bottlenecks of the traditional von Neumann architecture. Two-dimensional materials serve as ideal platforms for constructing artificial synaptic devices, yet existing ...
Qinghui Wang +4 more
doaj +2 more sources
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
Frontiers in Neuroscience, 2014 Recent advances in neuroscience together with nanoscale electronic device technology have resulted in huge interests in realizing brain-like computing hardwares using emerging nanoscale memory devices as synaptic elements.
Sukru Burc Eryilmaz +6 more
doaj +3 more sources
Amorphous BN-Based Synaptic Device with High Performance in Neuromorphic Computing [PDF]
Materials, 2023 Wonbo Shim, Sungjun Kim, Dongyeol Ju
exaly +2 more sources
Stochastic Learning in Oxide Binary Synaptic Device for Neuromorphic Computing
Frontiers in Neuroscience, 2013 Hardware implementation of neuromorphic computing is attractive as a computing paradigm beyond the conventional digital computing. In this work, we show that the SET (off-to-on) transition of metal oxide resistance switching memory becomes probabilistic
Shimeng eYu +6 more
doaj +3 more sources
iScience, 2022 Summary: Two-dimensional van der Waals materials offer various possibilities for synaptic devices, matching the requirements of intelligent and energy-efficient computation.
Xiong Xiong +4 more
doaj +1 more source
Crystals, 2021 A synaptic device that contains weight information between two neurons is one of the essential components in a neuromorphic system, which needs highly linear and symmetric characteristics of weight update.
Minkyung Kim +10 more
doaj +1 more source