Results 21 to 30 of about 79,596 (285)

Synaptic plasticity and preliminary-spike-enhanced plasticity in a CMOS-compatible Ta2O5 memristor

open access: yesMaterials & Design, 2020
An artificial synapse that can perform both learning and memory functions was realized using an amorphous Ta2O5 memristor. A Pt/Ta2O5/TiN memristor, with an amorphous Ta2O5 film grown at 100 °C, exhibited reliable bipolar switching properties at the ...
Hyun–Gyu Hwang   +6 more
doaj   +1 more source

A bioinspired optoelectronically engineered artificial neurorobotics device with sensorimotor functionalities [PDF]

open access: yes, 2019
Development of the next generation of bio- and nano-electronics is inseparably connected to the innovative concept of emulation and reproduction of biological sensorimotor systems and artificial neurobotics. Here, we report for the first time principally
Karbalaei Akbari, Mohammad   +1 more
core   +2 more sources

Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems [PDF]

open access: yes, 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
core   +1 more source

Memristive artificial synapses based on Au–TiO2 composite thin film for neuromorphic computing

open access: yesAPL Materials, 2023
Neuromorphic computing architecture is considered to be a highly desirable next-generation computing architecture as it simulates the way the brain processes information.
Haonan Zhu   +5 more
doaj   +1 more source

Emulating long-term synaptic dynamics with memristive devices [PDF]

open access: yes, 2016
The potential of memristive devices is often seeing in implementing neuromorphic architectures for achieving brain-like computation. However, the designing procedures do not allow for extended manipulation of the material, unlike CMOS technology, the ...
Berdan, Radu   +5 more
core   +2 more sources

Light-Emitting Artificial Synapses for Neuromorphic Computing

open access: yesResearch, 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 optical signals in systems.
Chen Zhu   +4 more
openaire   +3 more sources

Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective [PDF]

open access: yes, 2019
On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adaptability, and autonomy are essential.
Abbott   +56 more
core   +2 more sources

In‐Depth Physical Mechanism Analysis of Polymer Artificial Optoelectronic Synapse with High Endurance and Applications of Visual System and Operant Conditioning

open access: yesAdvanced Electronic Materials, 2023
Being capable of dealing with both electrical signals and light, artificial optoelectronic synapses are considered to be an important cornerstone of neuromorphic computing.
Yangzhou Qian   +9 more
doaj   +1 more source

Plasma fibrinogen levels and all-cause and cause-specific mortality in an Italian adult population: results from the Moli-sani study

open access: yesBleeding, Thrombosis and Vascular Biology, 2023
Epidemiological data on the association between fibrinogen levels and mortality are scarse and controversial. Longitudinal analyses were performed, separately by sex, on 17,689 individuals from the Moli-sani study [53% women, ≥35 years, free from ...
Roberta Parisi   +12 more
doaj   +1 more source

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines [PDF]

open access: yes, 2016
Recent studies have shown that synaptic unreliability is a robust and sufficient mechanism for inducing the stochasticity observed in cortex. Here, we introduce Synaptic Sampling Machines, a class of neural network models that uses synaptic stochasticity
Al-Shedivat, Maruan   +4 more
core   +2 more sources

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