Results 31 to 40 of about 32,825 (324)

Configurable activation function realized by non-linear memristor for neural network

AIP Advances, 2020
The activation function is a crucial part for memristive neural networks. For the first time, we propose a memristor-based activation function by using the natural non-linear characteristics of the memristor itself. Compared to the virtual ground circuit
Kun Li, Yi Sun, Wei Wang, Xi Zhu, Bing Song, Rongrong Cao, Sen Liu, Qingjiang Li   +7 more
doaj   +1 more source

Overview of emerging memristor families from resistive memristor to spintronic memristor [PDF]

Journal of Materials Science: Materials in Electronics, 2015
AbstractMemristor is a fundamental circuit element in addition to resistor, capacitor, and inductor. As it can remember its resistance state even encountering a power off, memristor has recently received widespread applications from non-volatile memory to neural networks.
Wang, Lei, Yang, CiHui, Wen, Jing, Gai, Shan, Peng, YuanXiu   +4 more
openaire   +1 more source

Phenomenological Modeling on the Nonideal Factors of Memristor Based on Single-Crystalline LiNbO₃ Thin Film

IEEE Journal of the Electron Devices Society
As a novel device, memristors attracted great attention because of its potential in neural network computing. However, the nonideal factors of memristors, such as conductance drift and programming errors, limit their performance in practical applications.
Yi Wang, Xinqiang Pan, Qin Xie, Junde Tong, Yao Shuai, Wenbo Luo, Chuangui Wu, Wanli Zhang   +7 more
doaj   +1 more source

Electrical Nonlinearity Emulation Technique for Current-Controlled Memristive Devices

IEEE Access, 2017
Emerging memristor technology is recently drawing widespread attention due to its potential for diverse applications. Due to the lack of real solid-state memristive devices, there have been many initiatives to develop memristor emulators to study their ...
Abdullah G. Alharbi, Mohammed E. Fouda, Zainulabideen J. Khalifa, Masud H. Chowdhury   +3 more
doaj   +1 more source

Fully Integrated Memristor and Its Application on the Scroll-Controllable Hyperchaotic System

Complexity, 2019
In this paper, a fully integrated memristor emulator using operational amplifiers (OAs) and analog multipliers is simulated. Based on the fully integrated memristor, a scroll-controllable hyperchaotic system is presented.
Jie Jin, Li Cui
doaj   +1 more source

Implementation of Highly Stable Memristive Characteristics in an Organic–Inorganic Hybrid Resistive Switching Layer of Chitosan-Titanium Oxide with Microwave-Assisted Oxidation

Molecules, 2023
This study proposes a high-performance organic–inorganic hybrid memristor for the development of neuromorphic devices in the memristor-based artificial synapse.
Dong-Hee Lee, Hamin Park, Won-Ju Cho
doaj   +1 more source

Experience on material implication computing with an electromechanical memristor emulator [PDF]

, 2016
Memristors are being considered as a promising emerging device able to introduce new paradigms in both data storage and computing. In this paper the authors introduce the concept of a quasi-ideal experimental device that emulates the fundamental behavior
Escudero López, Manuel, Moll Echeto, Francisco de Borja, Rubio Sola, Jose Antonio, Sirakoulis, Georgios, Vourkas, Ioannis, Zuin, Stefano   +5 more
core   +1 more source

Radiative Thermal Memristor [PDF]

Physical Review Letters, 2019
Based on the thermal hysteresis of a phase change material exchanging radiative heat with a phase invariable one, we propose a radiative thermal memristor characterized by a Lissajous curve between their exchanged heat flux and temperature difference periodically modulated in time.
Ordonez-Miranda, Jose, Ezzahri, Younes, Tiburcio-Moreno, Jose, Joulain, Karl, Drevillon, Jérémie   +4 more
openaire   +3 more sources

Real-time Analog Pixel-to-pixel Dynamic Frame Differencing with Memristive Sensing Circuits

, 2018
In this paper, we propose an analog pixel differencing circuit for differentiating pixels between frames directly from CMOS pixels. The analog information processing at sensor is a topic of growing appeal to develop edge AI devices.
James, Alex Pappachen, Krestinskaya, Olga   +1 more
core   +1 more source

Teaching Memory Circuit Elements via Experiment-Based Learning [PDF]

, 2011
The class of memory circuit elements which comprises memristive, memcapacitive, and meminductive systems, is gaining considerable attention in a broad range of disciplines. This is due to the enormous flexibility these elements provide in solving diverse
Di Ventra, M., Pershin, Y. V.
core   +1 more source