Project supported by the National Key Research and Development Program of China (Grant Nos. 2021YFA1202600 and 2023YFE0208600);in part by the National Natural Science Foundation of China (Grant Nos. 62174082, 92364106, 61921005, 92364204, and 62074075)。
Artificial neural networks(ANN) have been extensively researched due to their significant energy-saving benefits.Hardware implementations of ANN with dropout function would be able to avoid the overfitting problem. Th...
Project supported by the Key Projects of Hunan Provincial Department of Education(Grant No.23A0133);the Natural Science Foundation of Hunan Province(Grant No.2022JJ30572);the National Natural Science Foundations of China(Grant No.62171401).
Synaptic crosstalk is a prevalent phenomenon among neuronal synapses,playing a crucial role in the transmission of neural signals.Therefore,considering synaptic crosstalk behavior and investigating the dynamical behav...
Jiangsu Province Research Foundation(Grant Nos.BK20191202,RK106STP18003,and SZDG2018007);the Jiangsu Province Research Foundation(Grant Nos.BK20191202,RK106STP18003,and SZDG2018007);the Research Innovation Program for College Graduates of Jiangsu Province(Grant Nos.KYCX200806,KYCX190960,and SJCX190268);NJUPTSF(Grant Nos.NY217116,NY220078,and NY218107)。
In the post-Moore era,neuromorphic computing has been mainly focused on breaking the von Neumann bottlenecks.Memristors have been proposed as a key part of neuromorphic computing architectures,and can be used to emula...
Project supported by the National Key Research and Development Program of China(Grant No.2018 YFB1306600);the National Natural Science Foundation of China(Grant Nos.62076207,62076208,and U20A20227);the Science and Technology Plan Program of Yubei District of Chongqing(Grant No.2021-17)。
Spiking neural networks(SNNs) are widely used in many fields because they work closer to biological neurons.However,due to its computational complexity,many SNNs implementations are limited to computer programs.First,...
Layered ReS_(2) with direct bandgap and strong in-plane anisotropy shows great potential to develop high-performance angle-resolved photodetectors and optoelectronic devices.However,systematic characterizations of the...
the National Natural Science Foundation of China(Grant Nos.61703246 and 61703247);the Qingdao Science and Technology Plan Project(Grant No.19-6-2-2-cg);the Elite Project of Shandong University of Science and Technology。
The synapse of human brain neurons is not only the transmission channel of information,but also the basic unit of human brain learning and information storing.The artificial synapse is constructed based on the Sr_(0.9...
Project supported by the National Natural Science Foundation of China(Grant No.61674038);the Natural Science Foundation of Fujian Province,China(Grant No.2019J01218);the Fund from the Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China(Grant No.2021ZR145);the Science Fund from the Fujian Provincial Department of Industry and Information Technology of China(Grant No.82318075)。
As an alternative device for neuromorphic computing to conquer von Neumann bottleneck,the memristor serving as an artificial synapse has attracted much attention.The TaO^(x) memristors embedded with silver nanoparticl...
Project supported by the National Key R&D Program of China(Grant Nos.2017YFA0303604 and 2019YFA0308500);the National Natural Science Foundation of China(Grant Nos.11674385,11404380,11721404,and 11874412);the Youth Innovation Promotion Association of Chinese Academy of Sciences(Grant No.2018008);the Key Research Program of Frontier Sciences,Chinese Academy of Sciences(Grant No.QYZDJSSW-SLH020).
Recently, neuromorphic devices for artificial intelligence applications have attracted much attention. In this work, a three-terminal electrolyte-gated synaptic transistor based on NdNiO3 epitaxial films, a typical co...
Project supported by the National Key R&D Program of China(Grant Nos.2017YFA0303604 and 2019YFA0308500);the Youth Innovation Promotion Association of Chinese Academy of Sciences(Grant No.2018008);the Key Research Program of Frontier Sciences of Chinese Academy of Sciences(Grant No.QYZDJSSW-SLH020);the National Natural Science Foundation of China(Grant Nos.11674385,11404380,11721404,and 11874412)。
The further development of traditional von Neumann-architecture computers is limited by the breaking of Moore’s law and the von Neumann bottleneck, which make them unsuitable for future high-performance artificial in...
Properties that are similar to the memory and learning functions in biological systems have been observed and reported in the experimental studies of memristors fabricated by different materials. These properties incl...