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• Neuromorphic vision networks for face recognition
  crossref Akshay Kumar Maan, Alex James 2021-06-25T07:24:09Z 置信度 0.70
• Implementation Strategies
  crossref Ali Akbar Firoozi, Ali Asghar Firoozi 2024-09-12T15:02:54Z 置信度 0.70
• Power System Disturbance Classification With Online Event-Driven Neuromorphic Computing
  crossref Kaveri Mahapatra, Sen Lu, Abhronil Sengupta, Nilanjan Ray Chaudhuri 2020-12-10T21:08:32Z 置信度 0.70
• Modeling split-gate flash memory cell for advanced neuromorphic computing
  crossref Mandana Tadayoni, Santosh Hariharan, Steven Lemke, Thibaut Pate-Cazal 等 2018-06-21T21:35:36Z 置信度 0.70
• Low-Power Memristor for Neuromorphic Computing: From Materials to Applications
  Abstract As an emerging memory device, memristor shows great potential in neuromorphic computing applications due to its advantage of low power consumption. This review paper focuses on the application of low-power-based memristors in various aspects. The conc…
  europepmc Zhipeng Xia, Xiao Sun, Zhenlong Wang, Jialin Meng 等 2025 置信度 0.80
• Cell-Stitching for Analog Neuromorphic Computing
  crossref Pengfei Sun, Wenyu Jiang, Piew Yoong Chee, Dick Botteldooren 2025-03-05T18:40:14Z 置信度 0.70
• Distributed Event-Triggered Nash Equilibrium Seeking Under Hybrid Attacks and Dead-Zone Inputs: A Topology Reconstruction Approach
  crossref Xiao Lu, Shuting Chen, Ying Wan, Junjie Fu 等 2025-05-19T17:52:05Z 置信度 0.70
• Stochasticity in Neuromorphic Computing: Evaluating Randomness for Improved Performance
  crossref Samuel D. Brown, Gangotree Chakma, Md Musabbir Adnan, Md Sakib Hasan 等 2020-01-23T22:15:31Z 置信度 0.70
• Monolithic 3D Integrated Multi-Mode Spintronic Memristor for Neuromorphic Computing
  crossref Yuhan Li, Zhihua Xiao, Yaoru Hou, Yuting Liu 等 2026-05-06T19:38:04Z 置信度 0.70
• Increasing the Resistance Window of Complex Oxide based Schottky Interfaces by Device Miniaturization
  crossref Anouk Goossens, Majid Ahmadi, Divyanshu Gupta, Ishitro Bhaduri 等 2022-03-30T08:35:25Z 置信度 0.70
• Memristors Based on Two-Dimensional Layered Halide Perovskites for Neuromorphic Computing
  crossref Yutong Wu, Shirong Huang, Luis Antonio Panes-Ruiz, Alon Ascoli 等 2025-07-17T17:54:49Z 置信度 0.70
• Island model for parallel evolutionary optimization of spiking neuromorphic computing
  crossref Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok 2019-07-10T12:10:59Z 置信度 0.70
• Ethical, Legal, and Policy Implications
  crossref Ali Akbar Firoozi, Ali Asghar Firoozi 2024-07-26T13:01:53Z 置信度 0.70
• Constructing artificial neural networks using genetic circuits to realize neuromorphic computing
  crossref Shan Yang, Ruicun Liu, Tuoyu Liu, Yingtan Zhuang 等 2021-08-17T01:06:14Z 置信度 0.70
• Best of Both Worlds' Neuromorphic Computing in 3D Photonic-Electronic Integrated Neural Networks
  crossref S. J. Ben Yoo 2025-08-15T18:11:27Z 置信度 0.70
• Spiking Neural Network Design for On-Board Detection of Methane Emissions Through Neuromorphic Computing
  crossref Andrew Karim, Amel Alkholeify, Jimin Choi, Jatin Dhall 等 2025-01-31T21:05:26Z 置信度 0.70
• Design and Implementation of a Tobacco Storage Monitoring and Conservation Data Management System
  crossref Baiyan Hu, Jiejie Chen, Ying Dai, Quan Qi 2021-11-29T20:59:32Z 置信度 0.70
• Modulation Classification Performance Simulation Results
  crossref Ziad El-Khatib, Sherif Moussa 2025-01-15T07:23:00Z 置信度 0.70
• Emerging Optical Materials, Devices and Systems for Photonic Neuromorphic Computing feature issue: publisher’s note
  This publisher’s notes amends the title of [ Opt. Mater. Express 12 , 1214 ( 2022 ) 10.1364/OME.451016 ].
  crossref Antonio Hurtado, Bruno Romeira, Bhavin Shastri, Zengguang Cheng 等 2022-04-12T16:30:20Z 置信度 0.70
• Energy Efficient Approximate Arithmetic for Error Resilient Neuromorphic Computing
  crossref Yongtae Kim, Yong Zhang, Peng Li 2014-11-20T15:46:37Z 置信度 0.70
• Demonstration of Fundamental Weight Accuracy Limits Using Bi-Directional Tuning of SuperFlash ESF3 Cells for Neuromorphic Computing
  crossref Louisa Schneider, Steven Lemke, Parviz Ghazavi, Nhan Do 等 2026-05-07T19:51:08Z 置信度 0.70
• Design and implementation of a parsimonious neuromorphic PID for onboard altitude control for MAVs using neuromorphic processors
  crossref Stein Stroobants, Julien Dupeyroux, Guido De Croon 2022-09-08T04:10:51Z 置信度 0.70
• Neuromorphic and biomorphic engineering systems
  crossref 2015-07-10T19:02:00Z 置信度 0.70
• Neuromorphic computing and directed self-assembly: a new pairing for old technologies (Conference Presentation)
  crossref Brian D. Hoskins, Jabez J. McClelland 2019-08-16T18:40:00Z 置信度 0.70
• Security Threat to the Robustness of RRAM-based Neuromorphic Computing System
  crossref Bing Li, Hao Lv, Ying Wang, Yiran Chen 2023-02-02T20:15:13Z 置信度 0.70
• Correction: Performance and variability analysis of ALD-grown wafer scale HfO2/Ta2O5-based memristive devices for neuromorphic computing
  crossref Sanjay Kumar, Deepika Yadav, Spyros Stathopoulos, Themis Prodromakis 2025-06-26T08:47:17Z 置信度 0.70
• Complementary memtransistors for neuromorphic computing: How, what and why
  Abstract Memtransistors in which the source−drain channel conductance can be nonvolatilely manipulated through the gate signals have emerged as promising components for implementing neuromorphic computing. On the other side, it is known that the complementary …
  crossref Qi Chen, Yue Zhou, Weiwei Xiong, Zirui Chen 等 2024-06-14T13:05:31Z 置信度 0.70
• Honey-CNT memristive artificial synaptic device for sustainable neuromorphic computing system
  Abstract Brain-inspired neuromorphic computing systems require hardware components analogous to biological neurons and synapses. Honey based natural organic memristor has demonstrated promising nonvolatile memristive behaviors, with the advantages of sustainab…
  crossref Md Mehedi Hasan Tanim, Zoe Templin, Harshvardhan Uppaluru, Jinhui Wang 等 2026-04-13T19:03:45Z 置信度 0.70
• Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing
  crossref Ivan Knunyants, Maryam Tavakol, Manolis Sifalakis, Yingfu Xu 等 2025-09-25T17:52:35Z 置信度 0.70
• NbOx based oscillation neuron for neuromorphic computing
  In a neuromorphic computing system, the complex CMOS neuron circuits have been the bottleneck for efficient implementation of weighted sum operation. The phenomenon of metal-insulator-transition (MIT) in strongly correlated oxides, such as NbO2, has shown the …
  crossref Ligang Gao, Pai-Yu Chen, Shimeng Yu 2017-09-07T19:11:27Z 置信度 0.70
• Physics-based modeling of volatile resistive switching memory (RRAM) for crosspoint selector and neuromorphic computing
  crossref W. Wang, A. Bricalli, M. Laudato, E. Ambrosi 等 2019-01-24T04:58:45Z 置信度 0.70
• Memristors based on azatriphenylene and its derivatives modified by metal co-ordination for neuromorphic computing
  Recently, organic small-molecule semiconductors have emerged to serve as the re-sistive switching (RS) layer owing to the well-defined molecular structures and the capacity for precise modulation of transport characteristics through chemical modi-fication. In …
  crossref Yuexin Li, Lan Yang, Didi Zhang, Qinlian Gao 等 2026-05-08T12:40:50Z 置信度 0.70
• Non-volatile memory as hardware synapse in neuromorphic computing: A first look at reliability issues
  crossref Robert M. Shelby, Geoffrey W. Burr, Irem Boybat, Carmelo di Nolfo 2015-06-03T15:32:57Z 置信度 0.70
• A Floating Gate Memory with U-Shape Recessed Channel for Neuromorphic Computing and MCU Applications
  We have simulated a U-shape recessed channel floating gate memory by Sentaurus TCAD tools. Since the floating gate (FG) is vertically placed between source (S) and drain (D), and control gate (CG) and HfO2 high-k dielectric extend above source and drain, the i…
  crossref Lu-Rong Gan, Ya-Rong Wang, Lin Chen, Hao Zhu 等 2019-08-26T04:38:23Z 置信度 0.70
• Stacking Integration Strategy-Based Learning Method for Prediction of Performance in Exams
  crossref Hua Jiang, Yaqian Bao, Feng Jiang 2024-03-19T18:09:52Z 置信度 0.70
• Neuromorphic Approaches to Urban Traffic Management with Spiking Neural Networks
  crossref T Vishnu Sriram, Shubham Kumawat, Umesh Goyal, Biswa Mohan Sahoo 等 2026-04-09T19:42:29Z 置信度 0.70
• АРХІТЕКТУРА ОБЧИСЛЮВАЛЬНИХ СИСТЕМ НА БАЗІ НЕЙРОМОРФНИХ ПРОЦЕСОРІВ НОВОГО ПОКОЛІННЯ
  crossref Галина Губаль, Олександр Дудник, Руслан Іваненко 2026-04-30T08:44:05Z 置信度 0.70
• Implementation of Secure Traffic Light Management Using a Neuromorphic Computing Base Based on Fuzzy Graphs
  The task of safe traffic light management is to normalize traffic. Secure management involves the implementation of the protection of information involved in the management process. The traffic light management process is a complex dynamic process. The control…
  crossref Alexandra V. Volosova, Ekaterina N. Matyukhina, Egor A. Morozov 2025-05-27T10:38:34Z 置信度 0.70
• Guest Editorial: Neuromorphic Computing Technologies for Consumer Electronics
  crossref Zhekang Dong, Ping Lu, Chun Sing Lai, Zhongrui Wang 等 2026-02-11T20:55:53Z 置信度 0.70
• Back‐End CMOS Compatible and Flexible Ferroelectric Memories for Neuromorphic Computing and Adaptive Sensing
  Development of unconventional computing architectures, including neuromorphic computing, relies heavily on novel devices with properly engineered properties. This requires exploration of new functional materials and their designed interfaces. Ferroelectric mem…
  crossref Sayani Majumdar 2021-12-09T02:39:41Z 置信度 0.70
• Class Brain Coprocessor based on Neuromorphic Circuit for Efficient Non-Formalization and Unstructured Information Processing
  Class brain coprocessor is a type of coprocessor based on neuromorphic circuits that includes a memory module for storing training characteristics information, a processing module based on a hierarchical structure, and an encoder and decoder for input and outp…
  crossref Et al. Raguvaran K 2024-02-12T08:13:03Z 置信度 0.70
• Thermal Induced Retention Degradation of RRAM-based Neuromorphic Computing Chips
  crossref Awang Ma, Bin Gao, Xing Mou, Peng Yao 等 2023-05-15T17:50:57Z 置信度 0.70
• Wave-Based Neuromorphic Computing Framework for Brain-Like Energy Efficiency and Integration
  crossref Yasunao Katayama, Toshiyuki Yamane, Daiju Nakano, Ryosho Nakane 等 2016-03-23T18:18:11Z 置信度 0.70
• Scheduling Gain-Based Adaptive NN Control of Underactuated Bridge Crane
  crossref Jia-Ke Wang, Yang Liu, Ronghu Chi, Xuhui Bu 等 2025-05-19T17:52:05Z 置信度 0.70
• An energy-efficient, CMOS-compatible physical reservoir node with post-fabrication tunable decay dynamics
  Abstract In reservoir computing, the memory decay rate of physical reservoir nodes governs how quickly past inputs fade, thereby determining their temporal dynamics. Optimising this rate is therefore crucial for effective temporal signal processing. However, i…
  crossref Gambali Seshasai Chaitanya, Aditya D Arkalgud, Shubham Pande, Ankit Arora 2025-11-19T22:51:08Z 置信度 0.70
• Neuromorphic Computing for Graph Analytics
  crossref Anup Das 2025-04-09T13:21:20Z 置信度 0.70
• Neuromorphic Computing with 28nm High-K-Metal Gate Ferroelectric Field Effect Transistors Based Artificial Synapses
  This paper presents a comprehensive overview of 28 nm high-k-metal gate-based ferroelectric field effect transistor devices for synaptic applications. The device under test was fabricated on 300mm wafers at GlobalFoundries. The fabricated devices demonstrate 1…
  crossref Sourav De, Yannick Raffel, Sunanda Thunder, Franz Müller 等 2023-01-31T10:13:48Z 置信度 0.70
• Reservoir Computing Using Networks of CMOS Logic Gates
  crossref Heidi Komkov, Liam Pocher, Alessandro Restelli, Brian Hunt 等 2021-10-13T14:38:20Z 置信度 0.70
• Neuromorphic Visual Computing with ZnMgO QDs‐Based UV‐Responsive Optoelectronic Synaptic Devices for Image Encryption and Recognition
  Abstract Retina‐inspired optoelectronic neuromorphic devices integrating optical sensing and computation are the key components in realizing neuromorphic visual computing. In particular, UV‐responsive optoelectronic synaptic devices hold significant value for …
  crossref Zilong Guo, Hao Kan, Jiaqi Zhang, Yang Li 2025-03-11T16:59:17Z 置信度 0.70
• Towards brain-inspired edge AI: a review of memristor-based neuromorphic computing and learning algorithms
  Abstract With the advent of innovative technologies and the emerging demands for in situ edge decision-making, the weaknesses of the conventional von Neumann computing paradigm have become increasingly evident. While such architectures were considered reliable…
  crossref Salma Yasser Sadik Hassan Hussein, Patrick W C Ho 2025-08-14T22:52:15Z 置信度 0.70
• Performance and variability analysis of ALD-grown wafer scale HfO2/Ta2O5-based memristive devices for neuromorphic computing
  Here, we report a large-scale wafer microfabrication process and in-depth electrical analysis of atomic layer deposition (ALD) grown bilayer (i.e., HfO 2 /Ta 2 O 5 ) memristive devices. The fabricated bilayer devices initially require an electroforming event a…
  crossref Sanjay Kumar, Deepika Yadav, Spyros Stathopoulos, Themis Prodromakis 2025-06-19T05:32:24Z 置信度 0.70
• F3: Beyond the horizon of conventional computing: From deep learning to neuromorphic systems
  crossref Meng-Fan Chang, Jun Deguchi, Vivek De, Masato Motomura 等 2017-03-07T14:34:02Z 置信度 0.70
• Power and Area Efficient Router with Automated Clock Gating for Neuromorphic Computing
  crossref Junran Pu, Vishnu P Nambiar, Aarthy Mani, Wang Ling Goh 等 2020-05-07T21:27:28Z 置信度 0.70
• Fixed-Time Synchronization of Impulsive Multi-layer Networks with Time-Varying Parameters Uncertainty
  crossref Jie Yue, Juan Yu, Cheng Hu, Kailong Xiong 2024-03-19T18:09:52Z 置信度 0.70
• Neural Network SLAM Algorithms for Dynamic Object Removal in Complex Environments
  crossref Ren Zhang, Jingxin Liu, Jinmingwu Jiang, Pengfei Zhang 等 2025-05-19T17:52:05Z 置信度 0.70
• A closer-to-brain heterosynaptic learning rule for spatiotemporal spike pattern detection with low-resolution synapse
  Abstract The brain is believed to process information efficiently in a different manner from deep learning-based artificial intelligence (AI). Brain-like next-generation AI is gaining attention owing to its potential to perform human-like, highly adaptive, rob…
  crossref Shunta Furuichi, Takashi Kohno 2026-08-28T22:50:31Z 置信度 0.70
• Understanding the Non-Volatile Resistive Switching Behavior of Lithium Titanium Oxide during Spinel to Rock Salt Conversion for Neuromorphic Computing
  Lithium based synaptic device research has been a growing new field in the last few years for enabling robust neuromorphic hardware systems. It can realize parallel analogue computation which is beyond the conventional von Neumann computing architecture which …
  crossref Bhagath Sreenarayanan, Shirley Meng 2024-08-19T15:53:31Z 置信度 0.70
• Multi-state with High Linearity and Symmetry in Ferroelectric Field-Effect Transistors for Superior Neuromorphic Computing
  crossref Wenshuo Wu, Wenze Jiang, Wei Wang, Ting Xu 等 2025-11-12T13:38:04Z 置信度 0.70
• A Comprehensive Study and Detection of Anomalies for Autonomous Video Surveillance Using Neuromorphic Computing and Self Learning Algorithm
  crossref Akansha Bhargava, Gauri Salunkhe, Kishor Bhosale 2021-01-20T21:23:26Z 置信度 0.70
• Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware
  crossref Peter U. Diehl, Guido Zarrella, Andrew Cassidy, Bruno U. Pedroni 等 2016-11-10T16:39:45Z 置信度 0.70
• Noise-Robust conceptors for physical reservoir computing: adaptation to perturbations
  Abstract Conceptors are a powerful extension of reservoir computing (RC) that enable the selective recall and stabilization of internal dynamics. However, their application to physical RC remains challenging because measured reservoir states are inevitably aff…
  crossref Gemma Infantes-Llinares, Hongki Kang, Miguel C Soriano 2026-08-05T22:52:48Z 置信度 0.70
• Toward Switching and Fusing Neuromorphic Computing: Vertical Bulk Heterojunction Transistors with Multi‐Neuromorphic Functions for Efficient Deep Learning
  Abstract The combination of artificial neural networks (ANN) and spiking neural networks (SNN) holds great promise for advancing artificial general intelligence (AGI). However, the reported ANN and SNN computational architectures are independent and require a …
  crossref Yi Zou, Di Liu, Xinyan Gan, Rengjian Yu 等 2025-04-24T04:41:20Z 置信度 0.70
• Neuromorphic Computing with 28nm High-K-Metal Gate Ferroelectric Field Effect Transistors Based Artificial Synapses
  <p>This paper presents a comprehensive overview of 28 nm high-k-metal gate-based ferroelectric field effect transistor devices for synaptic applications. The device under test was fabricated on 300mm wafers at GlobalFoundries. The fabricated devices demo…
  crossref Yannick Raffel, Franz Müller, Sunanda Thunder, Masud S K Rana 等 2022-11-11T00:48:57Z 置信度 0.70
• Six Networks on a Universal Neuromorphic Computing Substrate
  crossref Thomas Pfeil, Andreas Grübl, Sebastian Jeltsch, Eric Müller 等 2013-02-18T22:10:00Z 置信度 0.70
• MemFlash device: floating gate transistors as memristive devices for neuromorphic computing
  crossref C Riggert, M Ziegler, D Schroeder, W H Krautschneider 等 2014-09-18T09:13:23Z 置信度 0.70
• Neuromorphic Adaptive Precision RISC-V Processor with Real-Time Precision Scaling and Neuronal State Management
  crossref Om Maheshwari, Sahil Maurya, Bikram Paul 2026-04-02T19:48:12Z 置信度 0.70
• Author response for "CuPc/SiC Heterostructure Enabling All-Optical-Controlled Artificial Synapses for Neuromorphic Computing and Vision"
  crossref Lingxin Meng, Jiayao Wang, Jiaqi Han, Xuanyu Shan 等 2026-08-11T21:08:20Z 置信度 0.70
• VO2 electro-optic memory and oscillator for neuromorphic computing
  We demonstrate optical memory and light-triggered electrical oscillations in a VO2 electro optic micro-wire device for potential applications in neuromorphic computing architectures.
  crossref Junho Jeong, Youngho Jung, Zhongnan Qu, Bin Cui 等 2020-09-14T15:29:13Z 置信度 0.70
• Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing
  Analog compute‐in‐memory (CIM) technology utilizes the physical characteristics of memory devices to cancel the repeated data movement between memory and processors. Since this method gets rid of the signal domain conversion, analog CIM is suitable for the pos…
  crossref Daijing Shi, Teng Zhang, Yuqi Li, Yaoyu Tao 等 2026-05-18T07:30:43Z 置信度 0.70
• Author response for "Photosensitive resistive switching in parylene-PbTe nanocomposite memristors for neuromorphic computing"
  crossref Andrey D. Trofimov, Andrey Emelyanov, Anna Matsukatova, Alexander A. Nesmelov 等 2025-03-07T06:11:18Z 置信度 0.70
• Multimode Fabry-Perot laser as a reservoir computing and extreme learning machine photonic accelerator
  Abstract In this work, we introduce Fabry–Perot lasers as neuromoprhic nodes in the context of time-delayed reservoir computing and extreme learning machine (ELM) for the processing of temporal signals and the high-speed classification of images. By exploiting…
  crossref Menelaos Skontranis, George Sarantoglou, Kostas Sozos, Thomas Kamalakis 等 2023-10-11T22:29:34Z 置信度 0.70
• Fractional-order systems for neuromorphic computing: software and hardware opportunities and challenges
  Abstract Fractional-order dynamics introduce scale-free memory and non-Markovian behavior into dynamical systems, offering a principled means of modeling long-term temporal dependencies. In this work, we extend the reservoir computing (RC) framework to include…
  crossref Tucker Mastin, Niklas Anderson, Silas McNeal, Matthew Tubbin 等 2026-06-01T07:28:12Z 置信度 0.70
• Impulsive Consensus Algorithms for Second-order Multi-agent Formation Based on the Improved Artificial Potential Field
  crossref Yijie Qin, Zhiwei Liu, Lei Fu, Zhaorui Dong 等 2021-11-29T15:59:32Z 置信度 0.70
• Bifunctional monolithic transparent device for both neuromorphic computing and omnidirectional self-driven photodetection
  crossref Yanyan Chang, Min Jiang, Lian Ji, Yukun Zhao 2025-09-26T03:11:26Z 置信度 0.70
• A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware
  Abstract Spiking neural networks (SNNs) have emerged as a hardware efficient architecture for classification tasks. The challenge of spike-based encoding has been the lack of a universal training mechanism performed entirely using spikes. There have been sever…
  crossref Anmol Biswas, Vivek Saraswat, Udayan Ganguly 2023-08-18T22:30:41Z 置信度 0.70
• Neuromorphic computing with multi-memristive synapses
  Abstract Neuromorphic computing has emerged as a promising avenue towards building the next generation of intelligent computing systems. It has been proposed that memristive devices, which exhibit history-dependent conductivity modulation, could efficiently re…
  crossref Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis 等 2018-06-22T06:15:37Z 置信度 0.70
• 2D-materials for analog in-memory computing: a device-centric review of advantages and limitations
  Abstract This review examines the practical advantages of two-dimensional materials for energy-efficient in-memory computing by assembling a curated, experiment-only dataset covering 32 material systems across diverse device structures, mechanisms, and fabrica…
  crossref Jimin Shim, Jayoung Yoon, Sookyung Shin, Eunsu Hwang 等 2026-03-17T22:58:23Z 置信度 0.70
• Intelligent imaging microsystems realized by 3D electronic-photonic integrated circuits with embedded neuromorphic computing
  crossref S. J. Ben Yoo 2024-06-07T20:09:38Z 置信度 0.70
• Bio-realistic neural network implementation on Loihi 2 with Izhikevich neurons
  Abstract Neuromorphic systems are designed to emulate the principles of biological information processing, with the goals of improving computational efficiency and reducing energy usage. A critical aspect of these systems is the fidelity of neuron models and n…
  crossref Recep Buğra Uludağ, Serhat Çağdaş, Yavuz Selim İşler, Neslihan Serap Şengör 等 2024-06-07T22:26:50Z 置信度 0.70
• Bio-Inspired Computing with Emerging Devices: Bridging 2D Materials and Neuromorphic Architectures
  crossref Matteo Farronato, Piergiulio Mannocci, Alessandro Milozzi, Christian Monzio Compagnoni 等 2025-08-27T18:20:15Z 置信度 0.70
• Multi-level Memristors based on Two-dimensional Electron Gases in Oxide Heterostructures for High Precision Neuromorphic Computing
  Abstract Memristors are essential elements for hardware implementation of artificial neural networks. The key functionality of the memristors is to realize multiple non-volatile conductance states with high precision. However, the variation of device conductan…
  preprints Sunwoo Lee, Jaeyoung Jeon, Kitae Eom, Chaehwa Jeong 等 2021 置信度 0.74
• Modularity and multitasking in neuro-memristive reservoir networks
  Abstract The human brain seemingly effortlessly performs multiple concurrent and elaborate tasks in response to complex, dynamic sensory input from our environment. This capability has been attributed to the highly modular structure of the brain, enabling spec…
  crossref Alon Loeffler, Ruomin Zhu, Joel Hochstetter, Adrian Diaz-Alvarez 等 2021-07-16T18:29:23Z 置信度 0.70
• Multifunctional Organic Materials, Devices, and Mechanisms for Neuroscience, Neuromorphic Computing, and Bioelectronics
  Abstract Neuromorphic computing has the potential to overcome limitations of traditional silicon technology in machine learning tasks. Recent advancements in large crossbar arrays and silicon-based asynchronous spiking neural networks have led to promising neu…
  europepmc Felix L. Hoch, Qishen Wang, Kian-Guan Lim, Desmond K. Loke 2025 置信度 0.80
• Neuromorphic Computing Based on Emerging Memory Technologies
  crossref Bipin Rajendran, Fabien Alibart 2016-03-01T19:21:41Z 置信度 0.70
• Edge neuro-statistical learning for event-based visual motion detection and tracking in roadside safety systems
  Abstract The Vision Zero Program’s purpose is to reduce traffic-related fatalities and serious injuries while promoting equitable, safe, and healthy mobility for all. Ultimately, the challenge is to detect pedestrians during the day and especially at night to …
  crossref Cristian Axenie, Ertan Halilov, Julian Main, David Weiss 2025-04-11T22:50:37Z 置信度 0.70
• (Invited, Digital Presentation) Approach to Neuromorphic Computing with Ferroelectric Schottky Barrier FETs
  Neuromorphic computing inspired by neural network systems of the human brain enables energy efficient computing as a solution of the von Neumann bottleneck. A neural network consists of thousands or even millions of neurons which communicate with each other th…
  crossref Qing-Tai Zhao, Fengben Xi, Yi Han, Jin Hee Bae 等 2022-07-14T16:55:29Z 置信度 0.70
• Efficient hardware implementation of cellular neural networks with powers-of-two based incremental quantization
  crossref Xiaowei Xu, Qing Lu, Tianchen Wang, Jinglan Liu 等 2018-04-25T12:58:50Z 置信度 0.70
• Reliability-Driven Neuromorphic Computing Systems Design
  crossref Qi Xu, Junpeng Wang, Hao Geng, Song Chen 等 2021-08-24T22:11:46Z 置信度 0.70
• Neuromorphic computing-enabled generalized machine fault diagnosis with dynamic vision
  crossref Changhao Liu, Xiang Li, Xinrui Chen, Samir Khan 2025-04-04T14:28:16Z 置信度 0.70
• Neuromorphic Computing with Memcapacitors: Advancements, Challenges, and Future Directions
  Abstract Modern applications demand immense data processing and computational power, yet conventional architectures, constrained by the Von Neumann bottleneck and data presentation, struggle to meet these requirements. This has driven the rise of neuromorphic …
  crossref Nada AbuHamra, Muhammad Umair Khan, Eman Hassan, Mahmoud Al Qutayri 等 2025-10-09T04:52:31Z 置信度 0.70
• Low-power Analog and Mixed-signal IC Design of Multiplexing Neural Encoder in Neuromorphic Computing
  crossref Honghao Zheng, Nima Mohammadi, Kangjun Bai, Yang Yi 2021-05-11T00:09:51Z 置信度 0.70
• Case Studies and Real-World Applications
  crossref Ali Akbar Firoozi, Ali Asghar Firoozi 2024-07-26T13:01:53Z 置信度 0.70
• Clustering and Allocation of Spiking Neural Networks on Crossbar-Based Neuromorphic Architecture
  crossref Ilknur Mustafazade, Nagarajan Kandasamy, Anup Das 2024-07-02T10:21:29Z 置信度 0.70
• SkyNeu: Energy Efficient Antiferromagnetic Skyrmion Based Artificial Neuron for Neuromorphic Computing
  crossref Ravish Kumar Raj, Namita Bindal, Vishvendra Singh Poonia, Vito Puliafito 等 2025-08-12T17:52:36Z 置信度 0.70
• Neuromorphic devices and architectures for next-generation cognitive computing
  crossref Geoffrey W. Burr, Pritish Narayanan, Robert M. Shelby, Stefano Ambrogio 等 2017-09-28T20:33:32Z 置信度 0.70
• TiW/SiO_X:Al/TiW memristor with negative differential resistance effect for neuromorphic computing
  Memristors, acting as artificial synapses, are proposed to be a promising candidate for neuromorphic computing applications. In this work, the CMOS process-compatible TiW/SiO X :Al/TiW memristor with negative differential resistance (NDR) effect is explored fo…
  crossref Facai Wu, Tseung-Yuen Tseng 2023-08-01T04:38:07Z 置信度 0.70
• Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives
  crossref Nitin Rathi, Amogh Agrawal, Chankyu Lee, Adarsh Kumar Kosta 等 2021-08-24T22:11:46Z 置信度 0.70
• High‐Performance Neuromorphic computing, quantum dot semiconductors, 2D materials, spintronics, and semiconductors for AI, 5G and beyond
  Abstract: This chapter explores cutting-edge advancements in high-performance computing technologies, focusing on neuromorphic computing, quantum dot semiconductors, 2D materials, spintronics, and next-generation semiconductors for AI, 5G, and beyond. Neuromor…
  crossref Murali Krishna Pasupuleti 2024-10-01T06:40:52Z 置信度 0.70
• A Technique of Analog Circuits Testing and Diagnosis Based on Neuromorphic Classifier
  crossref Sergey Mosin 2015-12-24T08:31:41Z 置信度 0.70
• Engineering the kinetics of redox-based memristive devices for neuromorphic computing
  crossref R. Dittmann, A. Sarantopoulos, C. Bengel, A. Gutsche 等 2024-02-07T13:36:36Z 置信度 0.70