Multimodal Artificial Synapses for Neuromorphic Application [PDF]
ResearchThe rapid development of neuromorphic computing has led to widespread investigation of artificial synapses. These synapses can perform parallel in-memory computing functions while transmitting signals, enabling low-energy and fast artificial intelligence.
Runze Li +5 more
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Memristive Artificial Synapses for Neuromorphic Computing [PDF]
Nano-Micro Letters, 2021 Neuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve the bottleneck of the von Neumann architecture.
Wen Huang +8 more
doaj +6 more sources
Solution-Processed Perovskite Field-Effect Transistor Artificial Synapses. [PDF]
Adv Mater, 2021 Metal halide perovskites are distinctive semiconductors that exhibit both ionic and electronic transport and are promising for artificial synapses. However, developing a 3‐terminal transistor artificial synapse with the perovskite channel remains elusive
Jeong B, Gkoupidenis P, Asadi K.
europepmc +8 more sources
Synaptic Plasticity in Memristive Artificial Synapses and Their Robustness Against Noisy Inputs [PDF]
Frontiers in Neuroscience, 2021 Emerging brain-inspired neuromorphic computing paradigms require devices that can emulate the complete functionality of biological synapses upon different neuronal activities in order to process big data flows in an efficient and cognitive manner while ...
Nan Du +17 more
doaj +4 more sources
Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses. [PDF]
Nanomicro Lett, 2023 The latest progress of emerging smart flexible sensing systems driven by brain-inspired artificial intelligence (AI) from both the algorithm (machine learning) and the framework (artificial synapses) level is reviewed.
Sun T +10 more
europepmc +4 more sources
Recent Advances in Organic Phototransistors: Nonvolatile Memory, Artificial Synapses, and Photodetectors. [PDF]
Small Sci, 2022 Recent research interest in organic field‐effect transistor (FET) memory has shifted to the functionality of photoprogramming in terms of its potential uses in multibit data storage and light‐assisted encryption and its low‐energy consumption and broad ...
Lin YC, Yang WC, Chiang YC, Chen WC.
europepmc +3 more sources
Light-Emitting Artificial Synapses for Neuromorphic Computing [PDF]
Research, 2022 As the key connecting points in the neuromorphic computing systems, synaptic devices have been investigated substantially in recent years. Developing optoelectronic synaptic devices with optical outputs is becoming attractive due to many benefits of ...
Chen Zhu +4 more
doaj +4 more sources
Recent progress in three-terminal artificial synapses based on 2D materials: from mechanisms to applications [PDF]
Microsystems & Nanoengineering, 2023 Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for changes in synaptic strength, enabling the brain to learn from experience.
Fanqing Zhang +4 more
doaj +3 more sources
Hydrogel‐Based Artificial Synapses for Sustainable Neuromorphic Electronics
Advanced MaterialsHydrogels find widespread applications in biomedicine because of their outstanding biocompatibility, biodegradability, and tunable material properties.
Jiongyi Yan +3 more
semanticscholar +6 more sources
Tunnel junction based memristors as artificial synapses [PDF]
Frontiers in Neuroscience, 2015 We prepared magnesia, tantalum oxide and barium titanate based junction structures and investigated their memristive properties. The low amplitudes of the resistance change in these types of junctions are the major obstacle for their use.
Andy eThomas, Elisabetta eChicca
doaj +6 more sources