Articles

Neuroevolution Guided Hybrid Spiking Neural Network Training

in Neuromorphic Engineering

• Sen Lu
• Abhronil Sengupta

Neural Network Training With Asymmetric Crosspoint Elements

in Machine Learning and Artificial Intelligence

• Murat Onen
• Tayfun Gokmen
• Teodor K. Todorov
• Tomasz Nowicki
• Jesús A. del Alamo
• John Rozen
• Wilfried Haensch
• Seyoung Kim

Impact of Asymmetric Weight Update on Neural Network Training With Tiki-Taka Algorithm

in Neural Technology

• Chaeun Lee
• Kyungmi Noh
• Wonjae Ji
• Tayfun Gokmen
• Seyoung Kim

Biologically Plausible Class Discrimination Based Recurrent Neural Network Training for Motor Pattern Generation

in Neuromorphic Engineering

• Parami Wijesinghe
• Chamika Liyanagedera
• Kaushik Roy

SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training

in Neuromorphic Engineering

• Fangxin Liu
• Wenbo Zhao
• Yongbiao Chen
• Zongwu Wang
• Tao Yang
• Li Jiang

Dynamic balance of a bipedal robot using neural network training with simulated annealing

• Yoqsan Angeles-García
• Hiram Calvo
• Humberto Sossa
• Álvaro Anzueto-Ríos

Neural Network Training Acceleration With RRAM-Based Hybrid Synapses

in Neuromorphic Engineering

• Wooseok Choi
• Myonghoon Kwak
• Seyoung Kim
• Hyunsang Hwang

Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations

in Neuromorphic Engineering

• Tayfun Gokmen
• Yurii Vlasov

Fault2SeisGAN: A method for the expansion of fault datasets based on generative adversarial networks

in Solid Earth Geophysics

• Shuo Zhao
• Renwei Ding
• Tianjiao Han
• YiLin Liu
• Jinwei Zhang
• Lihong Zhao

Application of improved graph convolutional networks in daily-ahead carbon emission prediction

in Process and Energy Systems Engineering

• Feng Pan
• Yuyao Yang
• Yilin Ji
• Jinli Li
• Jun Zhang
• Lihua Zhong

Lightweight land cover classification via semantic segmentation of remote sensing imagery and analysis of influencing factors

in Environmental Informatics and Remote Sensing

• Guoying Wang
• Jiahao Chen
• Lufeng Mo
• Peng Wu
• Xiaomei Yi

Prediction of Maximum Flood Inundation Extents With Resilient Backpropagation Neural Network: Case Study of Kulmbach

in Hydrosphere

• Qing Lin
• Jorge Leandro
• Wenrong Wu
• Punit Bhola
• Markus Disse

Busbar fault diagnosis method based on multi-source information fusion

in Smart Grids

• Xuebao Jiang
• Haiou Cao
• Chenbin Zhou
• Xuchao Ren
• Jiaoxiao Shen
• Jiayan Yu

Neural network learning using non-ideal resistive memory devices

in Nanoelectronics

• Youngseok Kim
• Tayfun Gokmen
• Hiroyuki Miyazoe
• Paul Solomon
• Seyoung Kim
• Asit Ray
• Jonas Doevenspeck
• Raihan S. Khan
• Vijay Narayanan
• Takashi Ando

Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates

• Kyle Daruwalla
• Mikko Lipasti

Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis

in Brain Imaging Methods

• Byung-Hoon Kim
• Jong Chul Ye