Results 41 to 50 of about 95,522 (318)
Low‐Power Computing with Neuromorphic Engineering
Advanced Intelligent Systems, 2021 The increasing power consumption in the existing computation architecture presents grand challenges for the performance and reliability of very‐large‐scale integrated circuits. Inspired by the characteristics of the human brain for processing complicated
Dingbang Liu, Hao Yu, Yang Chai
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ReS2 Charge Trapping Synaptic Device for Face Recognition Application [PDF]
Nanoscale Research Letters, 2020 AbstractSynaptic devices are necessary to meet the growing demand for the smarter and more efficient system. In this work, the anisotropic rhenium disulfide (ReS2) is used as a channel material to construct a synaptic device and successfully emulate the long-term potentiation/depression behavior.
Ze-Hui Fan +6 more
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Tunable synaptic working memory with volatile memristive devices
Neuromorphic Computing and Engineering, 2023 Abstract Different real-world cognitive tasks evolve on different relevant timescales. Processing these tasks requires memory mechanisms able to match their specific time constants. In particular, the working memory (WM) utilizes mechanisms that span orders of magnitudes of timescales, from milliseconds to seconds or even minutes.
Saverio Ricci +4 more
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Pseudo-transistors for emerging neuromorphic electronics
Science and Technology of Advanced Materials, 2023 Artificial synaptic devices are the cornerstone of neuromorphic electronics. The development of new artificial synaptic devices and the simulation of biological synaptic computational functions are important tasks in the field of neuromorphic electronics.
Jingwei Fu +9 more
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A CMOS Spiking Neuron for Brain-Inspired Neural Networks with Resistive Synapses and In-Situ Learning [PDF]
, 2015 Nanoscale resistive memories are expected to fuel dense integration of electronic synapses for large-scale neuromorphic system. To realize such a brain-inspired computing chip, a compact CMOS spiking neuron that performs in-situ learning and computing ...
Balagopal, Sakkarapani +3 more
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Advanced Electronic Materials, 2023 In this study, the authors fabricate Sn‐doped 100‐nm thick polycrystalline β‐Ga2O3 synaptic field‐effect transistors (FETs) emulating optical and electrical spike stimulation.
Youngbin Yoon +3 more
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Synaptic proteins as multi-sensor devices of neurotransmission [PDF]
BMC Neuroscience, 2006 Abstract Neuronal communication is tightly regulated in time and space. Following neuronal activation, an electrical signal triggers neurotransmitter (NT) release at the active zone. The process starts by the signal reaching the synapse followed by a fusion of the synaptic vesicle (SV) and diffusion of the released NT in the synaptic cleft ...
Yanay Chava, Brachya Guy, Linial Michal
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Fast, Energy‐Efficient InGaAs Synaptic Phototransistors on Flexible Substrate
Advanced Electronic Materials, 2023 Photodetectors sensing the short‐wave infrared (SWIR) region have great potential due to their significant advantages in a variety of applications because SWIR light possesses both characteristics of visible light and infrared light.
Tae Soo Kim +6 more
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On-Chip Trainable Spiking Neural Networks Using Time-To-First-Spike Encoding
IEEE Access, 2022 Artificial Neural Networks (ANNs) have shown remarkable performance in various fields. However, ANN relies on the von-Neumann architecture, which consumes a lot of power. Hardware-based spiking neural networks (SNNs) inspired by a human brain have become
Jiseong Im +9 more
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Nanomaterials, 2022 Owing to the 4th Industrial Revolution, the amount of unstructured data, such as voice and video data, is rapidly increasing. Brain-inspired neuromorphic computing is a new computing method that can efficiently and parallelly process rapidly increasing ...
Wonwoo Kho +7 more
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