Synaptic plasticity and preliminary-spike-enhanced plasticity in a CMOS-compatible Ta2O5 memristor
Materials & 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
Tuning a binary ferromagnet into a multi-state synapse with spin-orbit torque induced plasticity [PDF]
, 2016 Inspired by ion-dominated synaptic plasticity in human brain, artificial synapses for neuromorphic computing adopt charge-related quantities as their weights.
Cao, Yi +4 more
core +4 more sources
Pavlov's dog associative learning demonstrated on synaptic-like organic transistors [PDF]
, 2013 In this letter, we present an original demonstration of an associative learning neural network inspired by the famous Pavlov's dogs experiment. A single nanoparticle organic memory field effect transistor (NOMFET) is used to implement each synapse.
Alibart, F. +6 more
core +3 more sources
Memristive artificial synapses based on Au–TiO2 composite thin film for neuromorphic computing
APL 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
Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines [PDF]
, 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
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 optical signals in systems.
Chen Zhu +4 more
openaire +3 more sources
Emulating long-term synaptic dynamics with memristive devices [PDF]
, 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
Advanced 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
Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex [PDF]
, 2015 Neocortical neurons have thousands of excitatory synapses. It is a mystery how neurons integrate the input from so many synapses and what kind of large-scale network behavior this enables.
Ahmad, Subutai, Hawkins, Jeff
core +3 more sources
Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective [PDF]
, 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