Results 71 to 80 of about 85,686 (325)

Operation Scheme of Multi-Layer Neural Networks Using NAND Flash Memory as High-Density Synaptic Devices

IEEE Journal of the Electron Devices Society, 2019
We propose a designing of multi-layer neural networks using 2D NAND flash memory cell as a high-density and reliable synaptic device. Our operation scheme eliminates the waste of NAND flash cells and allows analogue input values.
Sung-Tae Lee, Suhwan Lim, Nag Yong Choi, Jong-Ho Bae, Dongseok Kwon, Byung-Gook Park, Jong-Ho Lee   +6 more
doaj   +1 more source

Enhanced synaptic characteristics of H x WO3-based neuromorphic devices, achieved by current pulse control, for artificial neural networks

Neuromorphic Computing and Engineering, 2023
Artificial synapses capable of mimicking the fundamental functionalities of biological synapses are critical to the building of efficient neuromorphic systems.
Daiki Nishioka, Takashi Tsuchiya, Tohru Higuchi, Kazuya Terabe   +3 more
doaj   +1 more source

Perspective: Organic electronic materials and devices for neuromorphic engineering

, 2018
Neuromorphic computing and engineering has been the focus of intense research efforts that have been intensified recently by the mutation of Information and Communication Technologies (ICT). In fact, new computing solutions and new hardware platforms are
Alibart, Fabien, Pecqueur, Sebastien, Vuillaume, Dominique   +2 more
core   +2 more sources

Bio‐Inspired Molecular Events in Poly(Ionic Liquids)

Advanced Functional Materials, EarlyView.
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley   +1 more source

Metal interdiffusion enhanced WOx/CuOx heterojunction optoelectronic memristive synapses for face recognition application

APL Materials
Annealing improves the switching and synaptic performance of ITO/WOx/CuOx/ITO transparent devices. The device has low SET and RESET voltages, stable and robust AC endurance of up to 106 cycles, and can retain the states for more than 104 s.
Hans Juliano, Stephen Ekaputra Limantoro, Firman M. Simanjuntak, Tseung-Yuen Tseng   +3 more
doaj   +1 more source

Ternary Heterojunction Synaptic Transistors Based on Perovskite Quantum Dots

Nanomaterials
The traditional von Neumann architecture encounters significant limitations in computational efficiency and energy consumption, driving the development of neuromorphic devices.
Shuqiong Lan, Jinkui Si, Wangying Xu, Lan Yang, Jierui Lin, Chen Wu   +5 more
doaj   +1 more source

Resistive switching and synaptic properties modifications in gallium-doped zinc oxide memristive devices

Results in Physics, 2019
The massively parallel computing capabilities of the human brain can be mimicked with the help of neuromorphic computing approach and this can be achieved by developing the electronic synaptic device.
Shilpa S. More, Pratiksha A. Patil, Kalyani D. Kadam, Harshada S. Patil, Snehal L. Patil, Aishwarya V. Pawar, Sharon S. Kanapally, Dhanashri V. Desai, Shraddha M. Bodake, Rajanish K. Kamat, Sungjun Kim, Tukaram D. Dongale   +11 more
doaj   +1 more source

Biomaterials‐Based Hydrogel with Superior Bio‐Mimetic Ionic Conductivity and Tissue‐Matching Softness for Bioelectronics

Advanced Functional Materials, EarlyView.
By mimicking the ion‐accelerating effect of ion channel receptors in neuron membranes, a biomaterials‐based ionic hydrogel (BIH) is developed, which offers a high ionic conductivity of 7.04 S m−1, outperforming conventional chitosan, cellulose, agarose, starch, and gelatin based ionic hydrogels.
Baojin Chen, Renjie Yu, Jiaqi Wang, Yunxiang Feng, Yujie Zhang, Yanchao Mao, Chongxin Shan, Xudong Wang   +7 more
wiley   +1 more source

A Low-Cost Flexible Optoelectronic Synapse Based on ZnO Nanowires for Neuromorphic Computing

Sensors
Neuromorphic computing, inspired by the brain, holds significant promise for advancing artificial intelligence. Artificial optoelectronic synapses, which can convert optical signals into electrical signals, play a crucial role in neuromorphic computing ...
Yongqing Yue, Zixia Yu, Fangpei Li, Wenbo Peng, Quanzhe Zhu, Yongning He   +5 more
doaj   +1 more source

Overcoming device unreliability with continuous learning in a population coding based computing system

, 2018
The brain, which uses redundancy and continuous learning to overcome the unreliability of its components, provides a promising path to building computing systems that are robust to the unreliability of their constituent nanodevices.
Grollier, Julie, Mizrahi, Alice, Querlioz, Damien, Stiles, M. D.   +3 more
core   +2 more sources