类脑计算 · 全部实体（第 91 / 100 页）

本页收录第 9001–9100 条，共 10000 条 · 返回 类脑计算 首页

• A 6.8 TOPS/W Energy Efficiency, 1.5µW Power Consumption, Pulse Width Modulation Neuromorphic Circuits for Near-Data Computing with SSD
  crossref Kota Tsurumi, Kenta Suzuki, Ken Takeuchi 2019-01-08T17:59:07Z 置信度 0.70
• A Hybrid Approach Combining Quantum and Neuromorphic Computing for Live City Traffic Management
  crossref Shramit Sarupya Swain, Ramesh Sekaran, Girisha G S, Jeeva S 等 2026-05-19T19:47:37Z 置信度 0.70
• Memcapacitor Crossbar Array with Charge Trap NAND Flash Structure for Neuromorphic Computing
  Abstract The progress of artificial intelligence and the development of large‐scale neural networks have significantly increased computational costs and energy consumption. To address these challenges, researchers are exploring low‐power neural network impleme…
  crossref Sungmin Hwang, Junsu Yu, Min Suk Song, Hwiho Hwang 等 2023-09-27T02:08:45Z 置信度 0.70
• Foreword: Special Section on Advances in Heterogeneous Integration for Neuromorphic Computing
  crossref Hanzhi Ma, Shaloo Rakheja 2025-11-24T19:00:40Z 置信度 0.70
• Low-Power Microwave Relaxation Oscillators Based on Phase-Change Oxides for Neuromorphic Computing
  crossref B. Zhao, J. Ravichandran 2019-01-10T11:47:08Z 置信度 0.70
• Cycle equivalence classes, orthogonal Weingarten calculus, and the mean field theory of memristive systems
  Abstract It has been recently noted that for a class of dynamical systems with explicit conservation laws represented via projector operators, the dynamics can be understood in terms of lower dimensional equations. This is the case, for instance, of memristive…
  crossref F Caravelli 2024-04-18T22:24:12Z 置信度 0.70
• Electrically Programable Tamm Plasmon for Broadband Optical Neuromorphic Computing
  crossref Joo Hwan Ko, Dong Hyun Seo, Se Yeon Kim, Young Min Song 2024-09-27T18:27:49Z 置信度 0.70
• Is Neuromorphic Computing the Key to Power-Efficient Neural Networks: A Survey
  crossref Muhammad Hamis Haider, Hao Zhang, S. Deivalaskhmi, G. Lakshmi Narayanan 等 2024-01-13T07:02:00Z 置信度 0.70
• New carrier for neuromorphic computing: Multimodal response and learning mechanism of organic field-effect transistor-based synaptic devices
  crossref Weiyi Xia 2026-04-06T17:00:34Z 置信度 0.70
• WSe2 nanosheet memristors with long-term synaptic plasticity for neuromorphic computing
  crossref Ying Li, Jing Zhang, Haowen Meng, Xia Xiao 等 2026-04-14T13:13:33Z 置信度 0.70
• Electro-Photo-Sensitive Memristor for Neuromorphic and Arithmetic Computing
  crossref P. Maier, F. Hartmann, M. Emmerling, C. Schneider 等 2016-05-17T18:08:30Z 置信度 0.70
• Extremely energy-efficient, magnetic field-free, skyrmion-based memristors for neuromorphic computing
  The human brain can process information more efficiently than computers due to the dynamics of neurons and synapses. Mimicking such a system can lead to the practical implementation of artificial spiking neural networks. Spintronic devices have been shown to b…
  crossref Ajin Joy, Sreyas Satheesh, P. S. Anil Kumar 2023-11-22T13:50:40Z 置信度 0.70
• Foundations of Digital Computability
  crossref 2024-11-26T02:06:27Z 置信度 0.70
• 1619 Functional connectivity in brain: an NEGF framework for neural signal generation/transmission
  crossref 2026-07-06T19:15:47Z 置信度 0.70
• Integrated photonic synapses, neurons, memristors, and neural networks for photonic neuromorphic computing
  crossref Shufei Han, Weihong Shen, Min Gu, Qiming Zhang 2026-01-09T08:53:24Z 置信度 0.70
• Foundations of Real Computability
  crossref 2024-11-26T02:06:27Z 置信度 0.70
• Nanotube devices based crossbar architecture: toward neuromorphic computing
  crossref W S Zhao, G Agnus, V Derycke, A Filoramo 等 2010-04-07T05:58:28Z 置信度 0.70
• The gate length size impact on the performance of carbon-nanotube-based 1T1R configuration for neuromorphic computing
  crossref Chen Hu, Songang Peng, Xu Han, Yanqing Qiu 等 2025-09-22T18:45:52Z 置信度 0.70
• Efficient transformer adaptation for analog in-memory computing via low-rank adapters
  Abstract Analog in-memory computing (AIMC) offers a promising solution to the von Neumann bottleneck. However, deploying transformer models on AIMC remains challenging due to their inherent need for flexibility and adaptability across diverse tasks. For the be…
  crossref Chen Li, Elena Ferro, Corey Lammie, Manuel Le Gallo 等 2026-02-02T22:51:18Z 置信度 0.70
• Harnessing ion tuning mechanisms for neuromorphic computing: from artificial synapses to dynamically reconfigurable architectures
  crossref A. Alec T. Talin 2024-10-02T18:26:52Z 置信度 0.70
• Progress in Superconducting Optoelectronic Networks for Neuromorphic Computing
  We have proposed a superconducting opto-electronic platform for neuromorphic computing utilizing semiconductor light sources coupled to integrated waveguides for communication, and superconducting detectors and electronics for efficient computation. Here we su…
  crossref S. M. Buckley, J. T. Chiles, A. N. McCaughan, A. N. Tait 等 2020-09-11T20:34:19Z 置信度 0.70
• Anomalous hall and skyrmion topological hall resistivity in magnetic heterostructures for the neuromorphic computing applications
  Abstract Topologically protected spin textures, such as magnetic skyrmions, have shown the potential for high-density data storage and energy-efficient computing applications owing to their particle-like behavior, small size, and low driving current requiremen…
  crossref Aijaz H. Lone, Xuecui Zou, Debasis Das, Xuanyao Fong 等 2024-03-12T11:04:38Z 置信度 0.70
• Advanced Predictive Models for Natural Disasters
  crossref Ali Akbar Firoozi, Ali Asghar Firoozi 2024-07-26T13:01:53Z 置信度 0.70
• Energetic Signatures and Quantum States: Toward a Consciousness-Driven Architecture for Neuromorphic Computing
  We introduce a neuromorphic approach to representing the energetic signature of a quantum state. In this scheme, a quantum Hamiltonian is decomposed into a linear combination of energies that we term eigenergy components. A more widely understood concept of ei…
  crossref Aruna Thethali, Kranthi Kiran Mandava 2025-08-22T07:00:40Z 置信度 0.70
• Reservoir computing with a heterogeneous distribution of ionic nanofluidic memristors
  Abstract Nanofluidic memristive systems exhibit the nonlinear behavior and the short-time plasticity needed for reservoir computing (RC) networks. They use ions as information carriers and operate in an electrochemical environment, in resemblance to the biolog…
  crossref Sergio Portillo, Patricio Ramirez, Anthony Dougman Cho, Zuzanna Siwy 等 2026-02-11T22:51:18Z 置信度 0.70
• Dual-mode Transparent Synaptic Device Based on CsCu2I3 for Neuromorphic Computing and Visual Processing
  crossref Lingling Zhang, Zhenyu Li, Juan Luo, Jinli Fu 等 2025-09-27T16:38:02Z 置信度 0.70
• Reliable FeFET-based Neuromorphic Computing through Joint Modeling of Cycle-to-Cycle Variability, Device-to-Device Variability, and Domain Stochasticity
  crossref Simon Thomann, Albi Mema, Kai Ni, Hussam Amrouch 2023-05-15T17:50:57Z 置信度 0.70
• Neuromorphic Embedded Processing for Touch
  crossref Michele Mastella 2024-08-06T10:37:26Z 置信度 0.70
• Memristive Binary Firefly Algorithm for White Lung Images Segmentation
  crossref Jiarun Shen, Yongbin Yu, Xiangxiang Wang, Xiao Feng 等 2024-03-19T18:09:52Z 置信度 0.70
• Fault-Tolerant Neuromorphic Computing With Memristors Using Functional ATPG for Efficient Recalibration
  crossref Soyed Tuhin Ahmed, Mehdi B. Tahoori 2023-05-03T18:51:29Z 置信度 0.70
• Ferroelectric Memcapacitor-based Reservoir Computing for High-efficiency Human-Computer Interface
  crossref Mengjiao Pei, Ying Zhu, Siyao Liu, Hangyuan Cui 等 2023-02-01T09:31:42Z 置信度 0.70
• InGaZnO-based photoelectric synaptic devices for neuromorphic computing
  Abstract Photoelectric synaptic devices could emulate synaptic behaviors utilizing photoelectric effects and offer promising prospects with their high-speed operation and low crosstalk. In this study, we introduced a novel InGaZnO-based photoelectric memristor…
  crossref Jieru Song, Jialin Meng, Tianyu Wang, Changjin Wan 等 2024-09-04T12:11:05Z 置信度 0.70
• A 915–1220 TOPS/W Hybrid In-Memory Computing based Image Restoration and Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS
  crossref Xueyong Zhang, Arindam Basu 2022-05-18T15:37:56Z 置信度 0.70
• Integrating nanodevice and neuromorphic computing for enhanced magnetic anomaly detection
  crossref Yijie Qin, Zeyu Peng, Linliang Miao, Zijie Chen 等 2024-12-18T17:00:48Z 置信度 0.70
• Skyrmion-Magnetic Tunnel Junction Synapse With Long-Term and Short-Term Plasticity for Neuromorphic Computing
  crossref Aijaz H. Lone, H. Fariborzi 2022-11-21T21:08:02Z 置信度 0.70
• Reduction and IR-drop compensations techniques for reliable neuromorphic computing systems
  crossref Beiye Liu, Hai Li, Yiran Chen, Xin Li 等 2015-01-13T20:11:15Z 置信度 0.70
• Emerging Optical Materials, Devices and Systems for Photonic Neuromorphic Computing: introduction to special issue
  This is an introduction to the feature issue of Optical Materials Express on Emerging Optical Materials, Devices and Systems for Photonic Neuromorphic Computing.
  crossref Antonio Hurtado, Bruno Romeira, Sonia Buckley, Zengguang Cheng 等 2022-10-05T14:00:10Z 置信度 0.70
• Mimicking Synaptic Behaviors with Junctionless Transistor for Low Power Neuromorphic Computing
  crossref Md. Hasan Raza Ansari, Hanrui Li, Nazek El-Atab 2023-05-15T17:51:05Z 置信度 0.70
• Stability Analysis of Memristor Neural Networks with State-Dependent Delay
  crossref Yue Chen, Song Zhu 2021-11-29T20:59:32Z 置信度 0.70
• Improved Synaptic Plasticity of Li Ion-Gated Transistors with Mg-Doped LiCoO2 Channel for Neuromorphic Computing
  crossref Samapika Mallik, Tohru Tsuruoka, Takashi Tsuchiya, Kazuya Terabe 2024-01-11T20:18:45Z 置信度 0.70
• Energy-Autonomous Neuromorphic Seizure Detection: Implementing Dynamic Hyperdimensional Computing (DynHD) on RISC-V BL616 Microcontrollers
  crossref C. Sivamani, Gokulraj P, Vishnu N R, Enbatamil E 2026-05-26T19:39:19Z 置信度 0.70
• Machine Learning Based Delta Sigma Modulator Using Memristor for Neuromorphic Computing
  crossref Md Noorullah Khan, E. Srinivas 2024-05-23T11:01:45Z 置信度 0.70
• The Research on Mobile Edge Computing in Content Delivery Network
  crossref Ping Jiang, Haixia Li, Jun Cheng, Jiarui Wu 等 2026-06-14T18:19:06Z 置信度 0.70
• Wavelength-Selective Synaptic Devices Based on Graphdiyne/Wse2 for Multi-Color Image Recognition and Neuromorphic Computing
  crossref Hongyu Tang, Weiqi Shi, Wanlin Jiang, Gaoyuan Wang 等 2025-03-10T18:38:52Z 置信度 0.70
• Halide Perovskites for Neuromorphic Computing
  The next generation of neuromorphic computing, which is related to emulating the neural structure and operation of the human brain, will extend into areas that correspond to human cognition, such as interpretation and autonomous adaptation. Progress in materia…
  crossref Maria Vasilopoulou, Konstantinos Davazoglou, Abd Rashid bin Mohd Yusoff, Yang Chai 等 2023-10-09T10:59:00Z 置信度 0.70
• A non-overlapped implantation MOSFET differential pair implementation of bidirectional weight update synapse for neuromorphic computing
  crossref E.S. Jeng, H.X. Chen, Y.L. Chiang, J.H. Chang 等 2019-07-04T13:12:17Z 置信度 0.70
• Evaluation of fluxon synapse device based on superconducting loops for energy efficient neuromorphic computing
  With Moore’s law nearing its end due to the physical scaling limitations of CMOS technology, alternative computing approaches have gained considerable attention as ways to improve computing performance. Here, we evaluate performance prospects of a new approach…
  europepmc Ashwani Kumar, Uday S. Goteti, Ertugrul Cubukcu, Robert C. Dynes 等 2025 置信度 0.80
• Neuromorphic Processor Design and FPGA Implementation for Handwritten Digits Employing Spiking Neural Network
  crossref Nagavarapu Sowmya, Jitendra Kumar, Pradyut Biswal, Shirshendu Roy 等 2023-09-01T14:03:07Z 置信度 0.70
• Quantum Machine Intelligence
  Quantum computing has turned out to be a paradigm shift that can address computational problems that are way out of the scope of classical systems. The current hybrid designs tend to view quantum and classical components as non-living, and do not provide the f…
  crossref Shamik Palit, Pawan Madanan, Shipra Srivastava, Ganesh Ramchandra Patil 等 2026-03-04T19:15:56Z 置信度 0.70
• After 75 Years of the Transistor: An Age of Neuromorphic Computing [Women in Electronic Devices]
  crossref P.S. Menon, S.F.W.M. Hatta, M.M. de Souza 2023-10-04T17:37:24Z 置信度 0.70
• Interface engineering of amorphous gallium oxide crossbar array memristors for neuromorphic computing
  Abstract This paper reports on the fabrication and characterization of crossbar array memristors using amorphous gallium oxide (a-GaO x ) for implementing high-speed and wide-dynamic range artificial synaptic functions. The a-GaO x memristors were fabricated b…
  crossref Naoki Masaoka, Yusuke Hayashi, Tetsuya Tohei, Akira Sakai 2023-01-05T17:21:51Z 置信度 0.70
• A self-training spiking superconducting neuromorphic architecture
  Abstract Neuromorphic computing takes biological inspiration to the device level aiming to improve computational efficiency and capabilities. One of the major issues that arises is the training of neuromorphic hardware systems. Typically training algorithms re…
  crossref M. L. Schneider, E. M. Jué, M. R. Pufall, K. Segall 等 2025-03-04T10:44:40Z 置信度 0.70
• Unsupervised Order-Enabled Contrastive Learning-Based Dual Autoencoder Fault Detection for Variable Speed Bearing
  crossref Ruonan Lu, Da Zheng, Qinmin Yang, Weiwei Cao 2025-05-19T17:52:05Z 置信度 0.70
• Spin-orbit torque MRAM for ultrafast cache and neuromorphic computing applications
  crossref Siddharth Rao, Kaiming Cai, Giacomo Talmelli, Nathali Franchina-Vergel 等 2023-06-12T17:56:55Z 置信度 0.70
• Stability Analysis of Neutral Stochastic Pantograph System with Time-dependent Switching and its Applications in Neural Networks
  crossref Chao Wang, Yinfang Song, Fengjiao Zhang 2024-03-19T18:09:52Z 置信度 0.70
• An Analog Memristive and Memcapacitive Device for Neuromorphic Computing
  crossref Eter Mgeladze, Melanie Herzig, Richard Schroedter, Ronald Tetzlaff 等 2022-12-12T19:50:02Z 置信度 0.70
• A high-performance MoS ₂ synaptic device with floating gate engineering for neuromorphic computing
  Abstract As one of the most important members of the two dimensional chalcogenide family, molybdenum disulphide (MoS 2 ) has played a fundamental role in the advancement of low dimensional electronic, optoelectronic and piezoelectric designs. Here, we demonstr…
  crossref Tathagata Paul, Tanweer Ahmed, Krishna Kanhaiya Tiwari, Chetan Singh Thakur 等 2019-05-30T04:04:06Z 置信度 0.70
• Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks
  crossref Hamed Poursiami, Ihsen Alouani, Maryam Parsa 2024-12-02T18:37:03Z 置信度 0.70
• Pinning Synchronization of Fractional-Order Two-Layer Networks: From Inter-Layer Synchronization to Cluster Synchronization
  crossref Yanwei Yin, Juan Yu, Cheng Hu, Tingting Shi 2024-03-19T18:09:52Z 置信度 0.70
• Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models
  We summarize recent developments in neuromorphic photonics, including our work and the advances it brings beyond the state-of-the-art demonstrators in terms of architectures, technologies, and training models for a synergistic hardware/software codesign approa…
  crossref Miltiadis Moralis-Pegios, Angelina Totovic, Apostolos Tsakyridis, George Giamougiannis 等 2022-04-26T19:20:12Z 置信度 0.70
• High-temperature-resistant synaptic transistors for neuromorphic computing
  crossref Xiao Liu, Liang Chu, Wensheng Yan, Xiaodong Pi 2024-07-08T10:53:31Z 置信度 0.70
• A scalable hybrid training approach for recurrent spiking neural networks
  Abstract Recurrent spiking neural networks (RSNNs) can be implemented very efficiently in neuromorphic systems. Nevertheless, training of these models with powerful gradient-based learning algorithms is mostly performed on standard digital hardware using backp…
  crossref Maximilian Baronig, Yeganeh Bahariasl, Ozan Özdenizci, Robert Legenstein 2026-02-17T22:51:28Z 置信度 0.70
• Towards Neuromorphic Machine Intelligence
  crossref 2024-06-28T06:25:30Z 置信度 0.70
• Neuromorphic vision sensors for computer vision
  There have been significant advancements in the field of artificial intelligence (AI) over the past two decades, allowing such technologies to acquire popularity in both industry and academia. Face recognition software on Facebook or the iPhone, self-driving c…
  crossref Cuhadar Can 2024-10-25T02:04:15Z 置信度 0.70
• Prediction of Skin Cancer Using Convolutional Neural Network (CNN)
  Skin disorders are one of the most common types of disorders that are primarily diagnosed visually with scientific screening observed through dermoscopic evaluation, histopathological evaluation, and a biopsy. Diagnostic accuracy has a strong relevance to phys…
  crossref Deepa Nivethika S., Dhamodharan Srinivasan, SenthilPandian M., Prabhakaran Paulraj 等 2023-07-19T08:20:15Z 置信度 0.70
• Neuromorphic Computing - From Robust Hardware Architectures to Testing Strategies
  crossref Lorena Anghel, Denys Ly, Giorgio Di Natale, Benoit Miramond 等 2019-03-15T16:33:26Z 置信度 0.70
• HR³AM: A Heat Resilient Design for RRAM-based Neuromorphic Computing
  crossref Xiao Liu, Minxuan Zhou, Tajana S. Rosing, Jishen Zhao 2019-09-05T23:11:46Z 置信度 0.70
• Wafer-Scale TaO_x Device Variability and Implications for Neuromorphic Computing Applications
  crossref Christopher H. Bennett, Diana Garland, Robin B. Jacobs-Gedrim, Sapan Agarwal 等 2019-05-24T04:11:10Z 置信度 0.70
• Real Computability of Neural Networks
  crossref 2024-11-26T02:06:27Z 置信度 0.70
• Neuromorphic Computing: Unraveling the Physical Properties of Brain-Inspired Systems
  crossref G. Mohammed, Waleed H. Madhloom, Mustafa Abdulsattar Jebur, Mohammed Brayyich 等 2023-12-21T14:21:14Z 置信度 0.70
• Computational Complexity of Neuromorphic Algorithms
  crossref Prasanna Date, Bill Kay, Catherine Schuman, Robert Patton 等 2021-10-13T14:38:20Z 置信度 0.70
• Complexity Degrees of Digital Computability
  crossref 2024-11-26T02:06:27Z 置信度 0.70
• Beyond rate coding: surrogate gradients enable spike timing learning in spiking neural networks
  Abstract The surrogate gradient descent (SGD) algorithm enabled spiking neural networks (SNNs) to be trained to carry out challenging sensory processing tasks, an important step in understanding how spikes contribute to neural computations. However, it is uncl…
  crossref Ziqiao Yu, Pengfei Sun, Dan F M Goodman 2026-02-17T22:51:28Z 置信度 0.70
• CRCNS22 Learning Rules in the Hippocampus and their Mapping to Neuromorphic Systems (Final Technical Report)
  crossref Gina Adam, Giorgio Ascoli, Joseph Kilgore, Jeffrey Kopsick 2026-06-08T19:52:11Z 置信度 0.70
• A review of Mott insulator in memristors: The materials, characteristics, applications for future computing systems and neuromorphic computing
  crossref Yunfeng Ran, Yifei Pei, Zhenyu Zhou, Hong Wang 等 2022-08-23T10:02:52Z 置信度 0.70
• Training and synchronizing oscillator networks with Equilibrium Propagation
  Abstract Oscillator networks represent a promising technology for unconventional computing and artificial intelligence. Thus far, these systems have primarily been demonstrated in small-scale implementations, such as Ising machines for solving combinatorial pr…
  crossref Théophile Rageau, Julie Grollier 2025-07-03T18:50:21Z 置信度 0.70
• Neuromorphic computing for healthcare engineering: A bibliometric analysis of materials, devices, architectures, and biomedical applications based on 200 highly cited publications (2009–2025)
  This bibliometric survey examines 200 highly cited publications spanning from 2009 to 2025, retrieved from the Scopus database using search terms targeting neuromorphic computing and its applications in healthcare engineering and biomedical systems. The analys…
  crossref Kouroush Jenab 2026-06-08T10:10:08Z 置信度 0.70
• Parallel nonlinear neuromorphic computing with temporal encoding.
  The proliferation of deep learning applications has intensified the demand for electronic hardware with low energy consumption and fast computing speed. Neuromorphic photonics have emerged as a viable alternative to process high-throughput information at the p…
  europepmc Guangfeng You, Chao Qian, Ouling Wu, Hongsheng Chen 2026 置信度 0.80 Neuromorphic engineeringComputer scienceEncoding (memory)Nonlinear systemAsynchronous communication
• Organic synapses with programmable linearity for neuromorphic computing.
  Organic synaptic devices offer a route to flexible and biocompatible neuromorphic computing and human-machine interfaces. However, electrical signal transmission is often nonlinear and poorly reproducible because of interfacial effects and non-uniform electron…
  europepmc 2026 置信度 0.80
• A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing.
  ABSTRACT Biological neurons exhibit internal complexity that enables a variety of spiking behaviors, complex encoding strategies, and the possibility of advanced networks that underpin cognitive brain functions. Neuromorphic computing, especially using memrist…
  europepmc Pek Jun Tiw, Yuqi Li, Zhongyuan Li, Qihang Ding 等 2026 置信度 0.80
• On the next generation for neuromorphic computing and neuromorphic AI.
  europepmc 2026 置信度 0.80
• Integrating Neuromorphic Computing and Clinical Biomarkers for Enhanced Liver Disease Detection
  Abstract Liver diseases should be detected at an early stage and accurately to avoid the development of cirrhosis, liver failure, and permanent hepatocellular damage. Nevertheless, the current diagnostic models are based on computationally intensive machine le…
  europepmc 2026 置信度 0.80
• Quantum coherence in neuromorphic computing.
  Quantum effects become significant when hardware computing units scale down to nanoscale dimensions. To maintain reliable performance as neuromorphic computing hardware scales down, researchers must understand how quantum coherence across multiple neurons impa…
  europepmc Yuanheng Wang, Kai Li, Gregory D. Scholes 2026 置信度 0.80
• P3BT Organic Memristor-Based Artificial Synapse for Neuromorphic Computing.
  Organic memristors have potential applications in simulating biological synapses for neuromorphic computing. In this work, a solution-processed Al/P3BT/indium tin oxide (ITO) organic memristor was designed. The device exhibits stable resistive switching behavi…
  europepmc 2026 置信度 0.80
• Controlling Ion Dynamics at Nanoscale for Memristor-Based Neuromorphic Computing.
  europepmc 2026 置信度 0.80
• Reconfigurable Photoelectric Coaxial Fiber-Based Memristors for Neuromorphic Computing.
  europepmc 2026 置信度 0.80
• Cavity solitons as a nonlinear substrate for photonic neuromorphic computing.
  Reservoir computing leverages the nonlinear dynamics of physical systems to process temporal information with minimal training cost. Here, we demonstrate that cavity solitons sustained in a fiber optical cavity provide an optical platform for photonic reservoi…
  europepmc Amir Arsalan Arabieh, Alessandro Lupo, Simon-Pierre Gorza, Serge Massar 2026 置信度 0.80
• Polarization Engineering in Vinylene-Linked COFs Toward Efficient Neuromorphic Computing.
  Functional delocalized covalent organic frameworks (COFs) show promise as active layers for the development of memristor switches and multistate functionalities. However, their potential is limited by poor electron mobility and suboptimal reaction kinetics. Th…
  europepmc 2026 置信度 0.80
• Electrochemical Metallization-Induced Localized Phase Transition for Integrated Memory and Neuromorphic Computing.
  europepmc 2026 置信度 0.80
• Halide perovskite-based memory devices and neuromorphic computing.
  europepmc 2026 置信度 0.80
• Reconfigurable Selector-Only Memory (SOM) for Scalable Neuromorphic Computing.
  ABSTRACT Highly scalable reconfigurable neuromorphic devices are critical for addressing continual‐learning challenges in artificial intelligence. However, the scalability of existing reconfigurable devices is severely constrained by limited operating margins …
  europepmc Jin‐Yu Wen, Chuan‐Qi Yi, Ya‐Ru Zhang, Bin‐Hao Wang 等 2026 置信度 0.80
• Visible-light modulated ferroelectric optoelectronic field-effect transistor for superior neuromorphic computing.
  High-performance neuromorphic computing and bionic vision hardware urgently require device simplicity and low power consumption. This paper adopts an all-solution method to prepare a visible-light modulated ferroelectric optoelectronic field-effect transistor …
  europepmc 2026 置信度 0.80
• Programmable Cascaded Optical Memristors Based on Phase-Change Materials for Photonic Neuromorphic Computing.
  europepmc 2026 置信度 0.80
• CuPc/SiC heterostructure enabling all-optical-controlled artificial synapses for neuromorphic computing and vision.
  Optical synapses with the capability of optical sensing and biological synaptic functions are the fundamental components of neuromorphic vision systems and exhibit distinct advantages in image perception, information storage and neuromorphic computing. However…
  europepmc 2026 置信度 0.80
• Low Power HfOx/TaOx stacked memristors with nanocolumn electrode for neuromorphic computing.
  Abstract Emulating biological synaptic behavior using the resistive random access memory (RRAM) is promising for neuromorphic applications. A stacked HfOx/TaOx RRAM model with nanocolumn electrode for low-power neuromorphic computing was constructed, and the f…
  europepmc Fei Yang, Xuanyang Zhao, Junlong Liu, Houwei Zhu 等 2026 置信度 0.80
• Olefin-Linked Ionic Covalent Organic Frameworks with Carbenium Backbones for High-Performance Neuromorphic Computing.
  europepmc 2026 置信度 0.80
• Engineering a Biological Neural Network for Neuromorphic Computing
  europepmc Guillem Monsó, Burcu Gümüşcü, Regina Lüttge 2026 置信度 0.80 Neuromorphic engineeringInterfacingComputer scienceSpike (software development)Artificial neural network
• Bidirectional All-Optical Synapses for Neuromorphic Computing and Vision.
  europepmc 2026 置信度 0.80
• High encoding-sensitivity vision sensor with complementary nonlinear neuromorphic computing.
  europepmc 2026 置信度 0.80
• Polymer-networked engineered nanoparticles are primitives for neuromorphic computing.
  europepmc 2026 置信度 0.80