Results 31 to 40 of about 85,686 (325)
Neuromorphic Learning towards Nano Second Precision [PDF]
, 2013 Temporal coding is one approach to representing information in spiking neural networks. An example of its application is the location of sounds by barn owls that requires especially precise temporal coding. Dependent upon the azimuthal angle, the arrival
Meier, Karlheinz +3 more
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Vertical 3-Terminal Artificial Synaptic Devices
Journal of Flexible and Printed Electronics, 2023 Recently, synaptic devices have the advantages of being able to process information in parallel. However, nondestructive weight control is limited in 2-terminal synaptic devices because reading and writing are conducted in a common electrode. Hence, 3-terminal
Nahyun Jeong, Kyung-Geun Lim
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Opto-Electronic Advances, 2022 The human visual system, dependent on retinal cells, can be regarded as a complex combination of optical system and nervous system. Artificial retinal system could mimic the sensing and processing function of human eyes.
Caihong Li +9 more
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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
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Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications [PDF]
, 2019 The combination of phase-change materials and integrated photonics has led to the development of new forms of all-optical devices, including photonic memories, arithmetic and logic processors, and synaptic and neuronal mimics. Such devices can be readily
Bhaskaran, Harish +8 more
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Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems [PDF]
, 2019 Artificial synaptic devices that can be stretched similar to those appearing in soft-bodied animals, such as earthworms, could be seamlessly integrated onto soft machines toward enabled neurological functions.
Chai, Yang +13 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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A geographically distributed bio-hybrid neural network with memristive plasticity [PDF]
, 2017 Throughout evolution the brain has mastered the art of processing real-world inputs through networks of interlinked spiking neurons. Synapses have emerged as key elements that, owing to their plasticity, are merging neuron-to-neuron signalling with ...
Corna, Andrea +10 more
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IEEE Access, 2020 In this paper, we propose a floating-gate-based synaptic transistor with two independent control gates that implement both offline and online learning.
Donghyun Ryu +5 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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