Results 101 to 110 of about 80,289 (279)

Realizing reliable linearity and forming-free property in conductive bridging random access memory synapse by alloy electrode engineering

Applied Physics Express
The linearity of conductance modulation of the artificial synapse severely restricts the recognition accuracy and the convergence rate in the learning of artificial neural networks.
Ao Chen, Puyi Zhang, Yiwei Zheng, Xiaoxu Yuan, Guokun Ma, Yiheng Rao, Houzhao Wan, Nengfan Liu, Qin Chen, Daohong Yang, Hao Wang   +10 more
doaj   +1 more source

Transferable and Flexible Artificial Memristive Synapse Based on WOx Schottky Junction on Arbitrary Substrates

Advanced Electronic Materials, 2018
The absence of an effective approach to achieve free‐standing inorganic memristors seriously hinders the development of transferable artificial synapses.
Ya Lin, Tao Zeng, Haiyang Xu, Zhongqiang Wang, Xiaoning Zhao, Weizhen Liu, Jiangang Ma, Yichun Liu   +7 more
doaj   +1 more source

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

Hydrogel‐Based Artificial Synapses for Sustainable Neuromorphic Electronics

Advanced Materials
AbstractHydrogels find widespread applications in biomedicine because of their outstanding biocompatibility, biodegradability, and tunable material properties. Hydrogels can be chemically functionalized or reinforced to respond to physical or chemical stimulation, which opens up new possibilities in the emerging field of intelligent bioelectronics ...
Yan, Jiongyi, Armstrong, James P. K., Scarpa, Fabrizio, Perriman, Adam W.   +3 more
openaire   +3 more sources

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Artificial neural network with dynamic synapse model [PDF]

Известия высших учебных заведений: Прикладная нелинейная динамика
The purpose of this study is to develop and investigate a new short-term memory model based on an artificial neural network without short-term memory effect and a dynamic short-term memory model with astrocytic modulation. Methods. The artificial neural
Zimin, Ilya Anatolevich, Kazantsev, Viktor Borisovich, Stasenko, Sergey Victorovich   +2 more
doaj   +1 more source

Evolution of Materials and Device Stacks for HfO2‐Based Ferroelectric Memories

Advanced Materials Interfaces, EarlyView.
This review summarizes engineering strategies for HfO2 based ferroelectric memories with focus on FeCAP and FeFET structures. It describes how dopant design, stress effects, and interface engineering improve the bulk ferroelectric response. It further discusses how channel engineering supports reliable memory characteristics and scalable integration ...
Eunjin Kim, Jiyong Woo
wiley   +1 more source

An Optoelectronic Memristor Based on Proton‐Involved Photoreduction for Bimodal Sensing, Memory, and Processing

Advanced Intelligent Systems
Advanced devices and systems with integrated sensing, memory, and processing functionalities similar to those of the human nervous system are highly desirable for efficient artificial intelligence applications.
Qiaoling Tian, Xinyu Sui, Xiaoning Zhao, Ya Lin, Zhongqiang Wang, Ye Tao, Haiyang Xu, Yichun Liu   +7 more
doaj   +1 more source

Behavioural simulation of biological neuron systems using VHDL and VHDL-AMS

, 2007
The investigation of neuron structures is an incredibly difficult and complex task that yields relatively low rewards in terms of information from biological forms (either animals or tissue).
Bailey, Julian, Brown, Andrew D., Chad, John, Wilson, Peter R.   +3 more
core  

Record High Polarization at 2 V and Imprint‐Free Operation in Superlattice HfO2‐ZrO2 by Proper Tuning of Ferro and Antiferroelectricity

Advanced Materials Technologies, EarlyView.
Low‐power ferroelectric capacitors, based on superlattice HfO2‐ZrO2 is reported. With proper tuning of ferro and antiferroelectricity, an imprint‐free high switchable polarization charge (2Pr of 76 µC/cm2) is obtained with 2MV/cm leading to linear analog weight update and non‐volatile retention, providing a design guideline for emerging non‐volatile ...
Xinye Li, Padma Srivari, Mari Honkanen, Turkka Salminen, Sayani Majumdar   +4 more
wiley   +1 more source