Results 171 to 180 of about 77,342 (273)

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

open access: yesAdvanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad   +4 more
wiley   +1 more source

A Neuromorphic Simulation Framework for Indium‐Gallium‐Zinc‐Oxide Charge‐Trap Synaptic Transistors: From Device Modeling to System Simulation

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a comprehensive framework bridging device fabrication, modeling, and system‐level simulation for an indium‐gallium‐zinc‐oxide (IGZO) charge‐trap synaptic transistor‐based neuromorphic system. By developing a precise SPICE model derived from fabricated IGZO synaptic transistors, the study incorporates parasitic RC loads into array ...
Yumin Yun   +5 more
wiley   +1 more source

Versatile optoelectronic memristor based on wide-bandgap Ga<sub>2</sub>O<sub>3</sub> for artificial synapses and neuromorphic computing. [PDF]

open access: yesLight Sci Appl
Cui D   +12 more
europepmc   +1 more source

Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi   +5 more
wiley   +1 more source

Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin   +3 more
wiley   +1 more source

Research progress on biomarkers of traumatic brain injury

open access: yesAnimal Models and Experimental Medicine, EarlyView.
Traumatic brain injury: From primary insult to secondary neuroinflammation and degeneration. Abstract Traumatic brain injury (TBI) is a common disorder of the nervous system and has become a leading cause of death and disability worldwide, imposing a substantial burden on patients and their social circles. Its main symptoms include dyskinesia, language
Xuting Shen   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy