Results 11 to 20 of about 36,804 (240)
Organic phototransistors and their applications as artificial synapses
Sensors and Actuators A: PhysicalSensors and Internet of Things (IoT) have been revolutionizing our world by establishing a smart and more sustainable environment. Low-temperature processing and chemical functionality of organic semiconductors, high-k of natural dielectric materials, and mechanically flexible substrates make organic field-effect transistor (OFET)-based sensors an ...
Tavasli, Aybuke +4 more
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Graphene-Based Artificial Synapses with Tunable Plasticity
ACM Journal on Emerging Technologies in Computing Systems, 2021 Design and implementation of artificial neuromorphic systems able to provide brain akin computation and/or bio-compatible interfacing ability are crucial for understanding the human brain’s complex functionality and unleashing brain-inspired computation’s full potential.
He Wang 0013 +3 more
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ARTIFICIAL NEURAL NETWORKS WITH DYNAMIC SYNAPSES: A REVIEW
Mokslas - Lietuvos ateitis, 2023 Artificial neural networks (ANNs) are widely applied to solve real-world problems. Most of the actions we take and the processes around us are time-varying. ANNs with dynamic properties allow processing time-dependent data and solving tasks such as speech and text processing, prediction models, face and emotion recognition, game strategy development ...
Dumpis, Martynas
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Hydrogel‐Based Artificial Synapses for Sustainable Neuromorphic Electronics
Advanced MaterialsAbstractHydrogels find widespread applications in biomedicine because of their outstanding biocompatibility, biodegradability, and tunable material properties. Hydrogels can be chemically functionalized or reinforced to respond to physical or chemical stimulation, which opens up new possibilities in the emerging field of intelligent bioelectronics ...
Yan, Jiongyi +3 more
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Synaptic Plasticity in Memristive Artificial Synapses and Their Robustness Against Noisy Inputs. [PDF]
Front Neurosci, 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 ...
Du N +7 more
europepmc +2 more sources
Scalable Microscale Artificial Synapses of Lead Halide Perovskite with Femtojoule Energy Consumption. [PDF]
ACS Energy LettThe efficient conduction of mobile ions in halide perovskites is highly promising for artificial synapses (or memristive devices), devices with a conductivity that can be varied by applying a bias voltage.
de Boer JJ, Ehrler B.
europepmc +2 more sources
Triboelectric Nanogenerators as Active Tactile Stimulators for Multifunctional Sensing and Artificial Synapses. [PDF]
Sensors (Basel), 2022 The wearable tactile sensors have attracted great attention in the fields of intelligent robots, healthcare monitors and human-machine interactions. To create active tactile sensors that can directly generate electrical signals in response to stimuli ...
Zeng J +7 more
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Organic core-sheath nanowire artificial synapses with femtojoule energy consumption. [PDF]
Sci Adv, 2016 Emulation of biological synapses is an important step toward construction of large-scale brain-inspired electronics. Despite remarkable progress in emulating synaptic functions, current synaptic devices still consume energy that is orders of magnitude ...
Xu W, Min SY, Hwang H, Lee TW.
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Neuromorphic Skin Based on Emerging Artificial Synapses
, 2022 © 2022 Wiley-VCH GmbH.Neuromorphic skin is an emerging electronic skin that demonstrates sensory, memory, learning, and motor responses in a neuromorphic way by using advanced artificial synaptic devices that emulate the biological nervous system and its
Lee, Tae-Woo +5 more
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An Artificial Synapse Based on CsPbI3 Thin Film [PDF]
Micromachines, 2022 With the data explosion in the intelligent era; the traditional von Neumann computing system is facing great challenges of storage and computing speed. Compared to the neural computing system, the traditional computing system has higher consumption and slower speed. However; the feature size of the chip is limited due to the end of Moore’s Law.
Jia-Ying Chen +5 more
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