Optoelectronic Synaptic Devices for Neuromorphic Computing
Advanced Intelligent Systems, 2021 Neuromorphic computing can potentially solve the von Neumann bottleneck of current mainstream computing because it excels at self‐adaptive learning and highly parallel computing and consumes much less energy.
Yue Wang +7 more
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Unipolar terminal-attractor-based neural associative memory with adaptive threshold and perfect convergence [PDF]
, 1994 A perfectly convergent unipolar neural associative-memory system based on nonlinear dynamical terminal attractors is presented. With adaptive setting of the threshold values for the dynamic iteration for the unipolar binary neuron states with terminal ...
Liu, Hua-Kuang, Wu, Chwan-Hwa
core +1 more source
Nanoscale all-oxide-heterostructured bio-inspired optoresponsive nociceptor [PDF]
, 2020 Retina nociceptor, as a key sensory receptor, not only enables the transport of warning signals to the human central nervous system upon its exposure to noxious stimuli, but also triggers the motor response that minimizes potential sensitization. In this
Hu, Jie +4 more
core +2 more sources
An Optoelectronic Synapse Based on Two‐Dimensional Violet Phosphorus Heterostructure
Advanced Science, 2023 AbstractNeuromorphic computing can efficiently handle data‐intensive tasks and address the redundant interaction required by von Neumann architectures. Synaptic devices are essential components for neuromorphic computation. 2D phosphorene, such as violet phosphorene, show great potential in optoelectronics due to their strong light‐matter interactions,
Xiaoxian Liu +5 more
openaire +3 more sources
All-optical non-volatile tuning of an AMZI-coupled ring resonator with GST phase-change material [PDF]
, 2018 We present a Ge2Sb2Te5 (GST)-integrated ring resonator with the tuning enabled by an all-optical phase change of GST using a sequence of optical pulses. The tuning is non-volatile and repeatable, with no static power consumption due to the “self-holding”
Chen, J. +5 more
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Light-Emitting Artificial Synapses for Neuromorphic Computing
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 +1 more source
Electro-photo-sensitive memristor for neuromorphic and arithmetic computing [PDF]
, 2016 The authors gratefully acknowledge financial support from the European Union [FPVII (2007-2013) under Grant Agreement No. 318287 Landauer], as well as the state of Bavaria.We present optically and electrically tunable conductance modifications of a site ...
Emmerling, M. +6 more
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Manufacturing of graphene based synaptic devices for optoelectronic applications
International Journal of Extreme Manufacturing, 2023 Neuromorphic computing systems can perform memory and computing tasks in parallel on artificial synaptic devices through simulating synaptic functions, which is promising for breaking the conventional von Neumann bottlenecks at hardware level. Artificial
Kui Zhou +10 more
doaj +1 more source
Microbial light-activatable proton pumps as neuronal inhibitors to functionally dissect neuronal networks in C. elegans [PDF]
, 2012 Essentially any behavior in simple and complex animals depends on neuronal network function. Currently, the best-defined system to study neuronal circuits is the nematode Caenorhabditis elegans, as the connectivity of its 302 neurons is exactly known ...
Gottschalk, Alexander +5 more
core +3 more sources
Regenerative memory in time-delayed neuromorphic photonic resonators [PDF]
, 2016 We investigate a photonic regenerative memory based upon a neuromorphic oscillator with a delayed self-feedback (autaptic) connection. We disclose the existence of a unique temporal response characteristic of localized structures enabling an ideal ...
A Neyer +43 more
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