Results 51 to 60 of about 77,137 (273)
Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee +16 more
wiley +1 more source
The Gestalt principles of perceptual learning elucidate how the human brain categorizes and comprehends a set of visual elements grouped together. One of the principles of Gestalt perceptual learning is the law of closure which propounds that human ...
Swapnadeep Poddar +10 more
doaj +1 more source
Soft Artificial Synapse Electronics
Soft electronics, known for their bendable, stretchable, and flexible properties, are revolutionizing fields such as biomedical sensing, consumer electronics, and robotics. A primary challenge in this domain is achieving low power consumption, often hampered by the limitations of the conventional von Neumann architecture.
Md. Rayid Hasan Mojumder +2 more
openaire +2 more sources
This study demonstrates an artificial polymodal nociceptor whose firing threshold is actively modulated by temperature. A volatile TiN/TiOx/ZnO/TiOx/ITO memristor shows interfacial ion–driven resistive switching and membrane‐potential‐like dynamics, enabling temperature‐dependent nociceptive behavior.
Chanmin Hwang +3 more
wiley +1 more source
The correlation between the short-term plasticity (STP) of artificial synapses and the computational performance of physical-reservoir computing (PRC) using artificial synapses has not yet been clarified. We investigate the correlation between the paired-
Hiroaki Komatsu +3 more
doaj +1 more source
Neuromorphic devices with paired pulse facilitation emulating that of biological synapses are the key to develop artificial neural networks. Here, phosphorus-doped nanogranular SiO2 electrolyte is used as gate dielectric for protonic/electronic hybrid ...
Li Qiang Guo +3 more
doaj +1 more source
A Biologically Plausible Learning Rule for Deep Learning in the Brain [PDF]
Researchers have proposed that deep learning, which is providing important progress in a wide range of high complexity tasks, might inspire new insights into learning in the brain. However, the methods used for deep learning by artificial neural networks
Bohté, Sander +2 more
core +2 more sources
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
Research progress in gallium nitride-based artificial synaptic devices
Artificial synaptic devices that can emulate the functions of biological synapses and offer the advantages of brain-like computation are garnering considerable interest, as they have the potential to innovatively circumvent the von Neumann bottleneck at ...
Fangliang Gao, Lihan Li, Shuti Li
doaj +1 more source
A fully transparent, all‐metal‐oxide neuromorphic transistor using a sodium‐embedded alumina (SEA) electrolyte is demonstrated. By precisely tuning the thermal annealing process, the chemical composition of the SEA layer is controlled, allowing for the deterministic realization of both short‐term and long‐term synaptic plasticity within the same device
Yonghyun Albert Kwon +7 more
wiley +1 more source

