Artificial synaptic behavior of the SBT-memristor*
暂无分享,去创建一个
Mei Guo | Gang Dou | Ming-Long Dou | Ren-Yuan Liu | Mei Guo | G. Dou | Renyuan Liu | Minglong Dou
[1] Bernabé Linares-Barranco,et al. On Spike-Timing-Dependent-Plasticity, Memristive Devices, and Building a Self-Learning Visual Cortex , 2011, Front. Neurosci..
[2] Mirko Hansen,et al. Memristive Hebbian Plasticity Model: Device Requirements for the Emulation of Hebbian Plasticity Based on Memristive Devices , 2015, IEEE Transactions on Biomedical Circuits and Systems.
[3] L. Chua. Memristor-The missing circuit element , 1971 .
[4] Mirko Hansen,et al. Double-Barrier Memristive Devices for Unsupervised Learning and Pattern Recognition , 2017, Front. Neurosci..
[5] Gang Dou,et al. Memristive Behavior Based on Ba-Doped SrTiO 3 Films , 2017 .
[6] Jacques-Olivier Klein,et al. Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems , 2015, IEEE Transactions on Biomedical Circuits and Systems.
[7] X. Miao,et al. Activity-Dependent Synaptic Plasticity of a Chalcogenide Electronic Synapse for Neuromorphic Systems , 2014, Scientific Reports.
[8] Shaibal Mukherjee,et al. Realization of synaptic learning and memory functions in Y2O3 based memristive device fabricated by dual ion beam sputtering , 2018, Nanotechnology.
[9] Fuad E. Alsaadi,et al. An overview of stability analysis and state estimation for memristive neural networks , 2020, Neurocomputing.
[10] Pengfei Ma,et al. Habituation/Fatigue behavior of a synapse memristor based on IGZO–HfO2 thin film , 2017, Scientific Reports.
[11] Jongin Kim,et al. Electronic system with memristive synapses for pattern recognition , 2015, Scientific Reports.
[12] A. Sokolov,et al. Bio-realistic synaptic characteristics in the cone-shaped ZnO memristive device , 2019, NPG Asia Materials.
[13] Themis Prodromakis,et al. Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning , 2016, Front. Neurosci..
[14] Shukai Duan,et al. A Memristive Multilayer Cellular Neural Network With Applications to Image Processing , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[15] Jianquan Yao,et al. Artificial synapses with photoelectric plasticity and memory behaviors based on charge trapping memristive system , 2020 .
[16] Farnood Merrikh-Bayat,et al. Training and operation of an integrated neuromorphic network based on metal-oxide memristors , 2014, Nature.
[17] Urs Gerber,et al. A frequency-dependent switch from inhibition to excitation in a hippocampal unitary circuit , 2004, Nature.
[18] Shukai Duan,et al. Fusion of Image Storage and Operation Based on Ag-Chalcogenide Memristor with Synaptic Plasticity , 2017, J. Circuits Syst. Comput..
[19] Shukai Duan,et al. Memristor-Based Cellular Nonlinear/Neural Network: Design, Analysis, and Applications , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[20] Jingru Sun,et al. Memristive Circuit Implementation of Biological Nonassociative Learning Mechanism and Its Applications , 2020, IEEE Transactions on Biomedical Circuits and Systems.
[21] Ali Khiat,et al. Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses , 2016, Nature Communications.
[22] Zhao Sun,et al. Establishment of Physical and Mathematical Models for Sr0.95Ba0.05TiO3 Memristor , 2017, Int. J. Bifurc. Chaos.
[23] Run‐Wei Li,et al. Organic Biomimicking Memristor for Information Storage and Processing Applications , 2016 .
[24] Gholamreza Karimi,et al. Modeling triplet spike timing dependent plasticity using a hybrid TFT-memristor neuromorphic synapse , 2019, Integr..
[25] Yi Li,et al. Alleviating Conductance Nonlinearity via Pulse Shape Designs in TaOx Memristive Synapses , 2019, IEEE Transactions on Electron Devices.
[26] Yusuf Leblebici,et al. Neuromorphic computing with multi-memristive synapses , 2017, Nature Communications.
[27] Sungho Kim,et al. Experimental demonstration of a second-order memristor and its ability to biorealistically implement synaptic plasticity. , 2015, Nano letters.
[28] D. Stewart,et al. The missing memristor found , 2008, Nature.
[29] Jie-Ming Wang,et al. LiSiOX-Based Analog Memristive Synapse for Neuromorphic Computing , 2019, IEEE Electron Device Letters.
[30] T. Tseng,et al. Improving linearity by introducing Al in HfO2 as a memristor synapse device , 2019, Nanotechnology.
[31] Byung Chul Jang,et al. Polymer Analog Memristive Synapse with Atomic-Scale Conductive Filament for Flexible Neuromorphic Computing System. , 2019, Nano letters.
[32] Siddharth Gaba,et al. Synaptic behaviors and modeling of a metal oxide memristive device , 2011 .
[33] Yuchao Yang,et al. Tuning analog resistive switching and plasticity in bilayer transition metal oxide based memristive synapses , 2017 .
[34] 王丽丹,et al. 一种改进的WO x 忆阻器模型及其突触特性分析 , 2015 .
[35] Lin Gan,et al. Photonic Potentiation and Electric Habituation in Ultrathin Memristive Synapses Based on Monolayer MoS2. , 2018, Small.
[36] Yukihiro Kaneko,et al. Supervised Learning Using Spike-Timing-Dependent Plasticity of Memristive Synapses , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[37] Giacomo Indiveri,et al. A differential memristive synapse circuit for on-line learning in neuromorphic computing systems , 2017, ArXiv.
[38] M. Marinella,et al. A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing. , 2017, Nature materials.