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• O(N)-Space Spatiotemporal Filter for Reducing Noise in Neuromorphic Vision Sensors
  crossref Alireza Khodamoradi, Ryan Kastner 2018-01-01T19:09:25Z 置信度 0.70
• Neuromorphic models applied to photonics
  crossref Yihao Xu, Yongmin Liu 2024-01-21T06:48:53Z 置信度 0.70
• Controlling biohybrid neuromorphic interfaces through neurotransmitter modulation
  crossref Francesca Santoro 2023-02-01T09:31:42Z 置信度 0.70
• Bio-inspired neuromorphic visual processing with neural networks for cyclist detection in vehicle's blind spot and segmentation in medical CT images
  crossref Woo-Sup Han, Il Song Han 2018-01-11T23:49:34Z 置信度 0.70
• Cross-Domain Reasoning for Neuromorphic Model Design
  crossref Vikram Ramavarapu, Zachary Johnson-Scott, Ashish Gautam, Ramakrishnan Kannan 2026-06-19T10:46:08Z 置信度 0.70
• Energy-Efficient Federated Learning for Space Observation via Neuromorphic Computing: a Use Case
  crossref Domenico Lofù, Paolo Sorino, Tommaso Di Noia, Eugenio Di Sciascio 2026-06-01T19:33:50Z 置信度 0.70
• Harnessing exciton-polaritons for digital computing, neuromorphic computing, and optimization [Invited]
  Polaritons are quasiparticles resulting from the strong quantum coupling of light and matter. Peculiar properties of polaritons are a mixture of physics usually restricted to one of these realms, making them interesting for study not only from the fundamental …
  crossref Andrzej Opala, Michał Matuszewski 2023-08-03T16:00:50Z 置信度 0.70
• The Neuromorphic Cyber-Twin: A Conceptual Architecture for Cognitive Defense in Digital Twin Ecosystems
  As cyber-physical systems become increasingly virtualized, Digital Twins are emerging as critical components for real-time system monitoring, simulation, and control. However, their growing complexity and exposure to dynamic network environments render them su…
  crossref Nida Nasir, Hussam Al Hamadi 2025-05-16T16:28:23Z 置信度 0.70
• Topological Photonics for Neuromorphic Computing, Quantum Communications and Ultralow-Power Edge Intelligence
  Abstract: Topological photonics offers a route to guide, process and generate optical states through band structures whose global invariants can suppress selected forms of backscattering and disorder sensitivity. Neuromorphic photonics, quantum communications …
  crossref Murali Krishna Pasupuleti 2026-07-23T09:12:27Z 置信度 0.70
• HLSM-UNet:Hybrid Local Spatial Mamba UNet for Medical Image Segmentation
  crossref Xude Zhang, Xiaoping Wu, Changzhen Zhang, Yumin Tang 等 2025-05-19T17:52:05Z 置信度 0.70
• Dynamic Event-Triggered Distributed Optimization for Multi-Agent Systems with External Disturbances
  crossref Jiaqi Fan, Cheng Hu 2024-03-19T18:09:52Z 置信度 0.70
• Vibration Measurement with Neuromorphic Vision Sensors
  crossref Sofia Baldini, Filippo Stazi, Riccardo Bernardini, Andrea Fusiello 等 2025-10-22T01:51:37Z 置信度 0.70
• Physics-Based SPICE Model of 2D-Material FETs for Neuromorphic Circuit Simulation
  crossref Tamanna Nazeer, Sheikh Aamir Ahsan 2025-08-05T18:00:21Z 置信度 0.70
• Photonic neuromorphic processing for optical communications
  crossref Jianyang Shi, Nan Chi, Ziwei Li 2024-01-02T21:15:13Z 置信度 0.70
• Synaptic Memristors Based on Flexible Organic Pentacene Thin Films by the Thermal Evaporation Method for Neuromorphic Computing
  crossref Lu Han, Dehui Wang, Mengdie Li, Yang Zhong 等 2023-07-28T09:18:13Z 置信度 0.70
• Advancement of Neuromorphic Computing Systems with Memristors
  crossref Jeetendra Singh, Shailendra Singh, Balwant Raj, Vikas Patel 等 2024-07-31T13:08:43Z 置信度 0.70
• Photonics for Neuromorphic Computing: Fundamentals, Devices, and Opportunities
  Abstract In the dynamic landscape of Artificial Intelligence (AI), two notable phenomena are becoming predominant: the exponential growth of large AI model sizes and the explosion of massive amount of data. Meanwhile, scientific research such as quantum comput…
  europepmc Renjie Li, Yuanhao Gong, Hai Huang, Yuze Zhou 等 2024-06-21T09:11:11Z 置信度 0.80
• Critical neuromorphic computing based on explosive synchronization
  Synchronous oscillations in neuronal ensembles have been proposed to provide a neural basis for the information processes in the brain. In this work, we present a neuromorphic computing algorithm based on oscillator synchronization in a critical regime. The al…
  crossref Jaesung Choi, Pilwon Kim 2019-04-11T15:32:23Z 置信度 0.70
• Aging Aware Retraining for Memristor-based Neuromorphic Computing
  crossref Wenwen Ye, Grace Li Zhang, Bing Li, Ulf Schlichtmann 等 2022-11-11T20:38:08Z 置信度 0.70
• An Energy-Efficient Mixed-Signal Neuron for Inherently Error-Resilient Neuromorphic Systems
  crossref Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Kaushik Roy 等 2017-11-30T21:57:56Z 置信度 0.70
• An energy-efficient spiking neural network with continuous learning for self-adaptive brain–machine interface
  Abstract The number of simultaneously recorded neurons follows an exponentially increasing trend in implantable brain–machine interfaces (iBMIs). Integrating the neural decoder in the implant is an effective data compression method for future wireless iBMIs. H…
  crossref Zhou Biyan, Arindam Basu 2026-05-01T00:42:19Z 置信度 0.70
• A time multiplexed network architecture for large-scale neuromorphic computing
  crossref Rezwan A Rasul, Pedram Teimouri, Mike Shuo-Wei Chen 2017-10-24T20:21:31Z 置信度 0.70
• A Parallel Read-Write Circuit Design for Driving Memristor Crossbar Array
  crossref Ningye Jiang, Mingxuan Jiang, Zhigang Zeng 2024-03-19T18:09:52Z 置信度 0.70
• Extreme Sparsity in Hodgkin-Huxley Spiking Neural Networks
  crossref Jann Krausse, Daniel Scholz, Felix Kreutz, Pascal Gerhards 等 2024-03-19T18:09:52Z 置信度 0.70
• Introduction
  crossref Ali Akbar Firoozi, Ali Asghar Firoozi 2024-07-26T13:01:53Z 置信度 0.70
• A Non-Monotonic Reconfigurable Neural Unit with Dynamic Integration Control for Advanced Neuromorphic Computing
  Abstract The development of artificial neurons that emulate the rich adaptive dynamics of biological neural systems is pivotal for next-generation neuromorphic computing. Current hardware implementations, however, are fundamentally limited by fixed monotonic a…
  europepmc Jing Liu, Xitong An, Yan Wang, Chao Dou 等 2026 置信度 0.80
• Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins
  crossref Chen Shang, Jiadong Yu, Dinh Thai Hoang 2026-05-14T19:57:21Z 置信度 0.70
• Event-driven LiDAR with dynamic neuromorphic processing
  crossref Matthias Aquilina 2025-03-22T04:30:34Z 置信度 0.70
• Recent Progress in Memristor Array‐Based Neuromorphic Computing for on‐Chip Vector‐Matrix Multiplication
  Abstract Recently, the global issue of energy consumption has become a critical concern for the development of artificial intelligence (AI), which demands extensive computational resources and large‐scale data processing as network architectures and system alg…
  crossref Jingon Jang, Sang‐gyun Gi 2025-09-26T03:16:19Z 置信度 0.70
• Harnessing ferroic ordering in thin film devices for analog memory and neuromorphic computing applications down to deep cryogenic temperatures
  The future computing beyond von Neumann era relies heavily on emerging devices that can extensively harness material and device physics to bring novel functionalities and can perform power-efficient and real time computing for artificial intelligence (AI) task…
  crossref Sayani Majumdar 2024-05-15T05:06:46Z 置信度 0.70
• Adiabatic Spiking Neurons and Synapses for Ultra-Low Energy Neuromorphic Computing
  crossref M. Massarotto, S. Saggini, M. Loghi, D. Esseni 2024-01-10T19:38:25Z 置信度 0.70
• High-Level Simulation for Spiking Neuromorphic Computing Systems
  crossref Nicholas D. Skuda, Catherine Schuman, Gangotree Chakma, James S. Plank 等 2018-05-04T18:00:05Z 置信度 0.70
• Ferroelectric Devices for Neuromorphic Computing
  Neuromorphic computing inspired by the neural network systems of the human brain enables energy efficient computing for big-data processing. A neural network is formed by thousands or even millions of neurons which are connected by even a higher number of syna…
  crossref Qing-Tai Zhao, Fengben Xi, Yi Han, Andreas Grenmyr 等 2022-11-23T20:06:09Z 置信度 0.70
• Hyperdimensional Computing with Spiking-Phasor Neurons
  crossref Jeff Orchard, Russell Jarvis 2023-08-28T16:00:57Z 置信度 0.70
• An energy efficient neuromorphic computing system using real time sensing method
  crossref Hooman Farkhani, Mohammad Tohidi, Sadaf Farkhani, Jens Kargaard Madsen 等 2018-04-11T21:27:34Z 置信度 0.70
• ( <i>Invited</i> ) Ion–Electron Interactions In Ionically Gated 2D Transistors for Neuromorphic and Energy-Efficient Computing
  Two-dimensional (2D) materials offer a compelling platform for next-generation electronic and iontronic devices due to their nanoscale thickness, high carrier mobility, and strong coupling to electrochemical environments. When interfaced with solid ion conduct…
  crossref Ke Xu 2026-07-16T07:41:01Z 置信度 0.70
• Robust Resistive and Mem-devices for Neuromorphic Circuits
  crossref T. Venkatesan 2023-02-01T09:31:42Z 置信度 0.70
• Wavelength tunable resonant phase-change synaptic weights for photonic neuromorphic computing
  crossref Yihao Cui, Behrad Gholipour 2022-10-03T22:57:55Z 置信度 0.70
• FPGA based cellular neural network optimization
  crossref Zhongyang Liu, Shaoheng Luo, Xiaowei Xu, Yiyu Shi 等 2018-04-25T12:58:50Z 置信度 0.70
• Towards a Federated Intrusion Detection System based on Neuromorphic Computing
  crossref Domenico Lofù, Paolo Sorino, Tommaso Di Noia, Eugenio Di Sciascio 2024-08-05T17:29:07Z 置信度 0.70
• Evaluation of Single Event Effects in SRAM and RRAM Based Neuromorphic Computing System for Inference
  crossref Zhilu Ye, Rui Liu, Hugh Barnaby, Shimeng Yu 2019-05-24T04:11:10Z 置信度 0.70
• (Invited) Two-Terminal Selectors Enables Non-Volatile Memory and Neuromorphic Computing Applications
  Sneak current path issue is a critical challenge in memristor crossbar arrays used for non-volatile memory and neuromorphic computing, which can be mitigated by utilizing a selector device in series with each memristor. For this purpose, the selector needs to …
  crossref J. Joshua Yang, Zhongrui Wang, Saumil Joshi 2020-02-27T01:24:11Z 置信度 0.70
• Efficient Signaling for Passive Memristive Crossbars to Prepare them for Spiking Neuromorphic Computing
  crossref Ali Shiri Sichani, Kishore Kumar Kadari, Wilfrido A. Moreno 2022-10-10T16:26:28Z 置信度 0.70
• Neuromorphic Reservoir Computing Generates Hippocampal Signals to Improve Neural Activity Modulation
  IntroductionEpilepsy affects approximately 50 million people worldwide, and a substantial proportion of patients remain resistant to pharmacological treatment, requiring invasive interventions such as deep brain stimulation (DBS). Although DBS can reduce seizu…
  crossref Ángel Canal-Alonso, Adam Armada-Moreira, Alessio Di Clemente, María Cerezo-Sánchez 等 2026-04-11T21:55:25Z 置信度 0.70
• Dynamic adaptive neural network arrays
  crossref Catherine D. Schuman, Adam Disney, John Reynolds 2015-11-05T20:49:20Z 置信度 0.70
• Emerging Neuromorphic Computing Paradigms Exploring Magnetic Skyrmions
  crossref Sai Li, Wang Kang, Xing Chen, Jinyu Bai 等 2018-08-09T22:11:51Z 置信度 0.70
• Visual Navigation Using Neuromorphic Camera
  crossref Mijaz Mukundan, Rithin Mohan 2025-08-03T21:46:58Z 置信度 0.70
• A 75kb SRAM in 65nm CMOS for In-Memory Computing Based Neuromorphic Image Denoising
  crossref Sumon Kumar Bose, Vivek Mohan, Arindam Basu 2020-09-29T09:22:27Z 置信度 0.70
• Hardware acceleration for neuromorphic computing: An evolving view
  crossref Beiye Liu, Xiaoxiao Liu, Chenchen Liu, Wei Wen 等 2016-04-25T17:45:12Z 置信度 0.70
• Spiking Neural Networks for LPI Radar Waveform Recognition with Neuromorphic Computing
  crossref Alex Henderson, Steven Harbour, Chris Yakopcic, Tarek Taha 等 2023-06-23T14:54:25Z 置信度 0.70
• Analysis of time-delay photonic reservoirs for neuromorphic computing
  crossref P. Dmitriev, L. Di Lauro, B. Fischer, A. Aadhi 等 2022-10-10T20:25:52Z 置信度 0.70
• An Energy-Efficient Computing-in-Memory Neuromorphic System with On-Chip Training
  crossref Zhao Zhao, Yuan Wang, Xinyue Zhang, Xiaoxin Cui 等 2019-12-06T07:01:08Z 置信度 0.70
• Adaptive Low-Rank Adaptation Based Parameter-Efficient Tuning for Low-Resource Zero-Shot Remote Sensing Image Classification
  crossref Jianxin Duan, Peng Yang, Yingsheng Chen 2025-05-19T17:52:05Z 置信度 0.70
• Optical In-Memory Computing Sensor Synapse with Low-Dimensional MXene for Bio-Inspired Neuromorphic Network
  crossref Zongjie Shen, Alei Li, Chun Zhao, Jian Yao 等 2023-03-15T14:24:49Z 置信度 0.70
• Fixed/preassigned-time Anti-synchronization of Complex-valued Inertial Neural Networks with Distributed Delays
  crossref Yu Yao, Guodong Zhang, Junhao Hu 2024-03-19T18:09:52Z 置信度 0.70
• Stochastic learning in oxide binary synaptic device for neuromorphic computing
  crossref Shimeng Yu, Bin Gao, Zheng Fang, Hongyu Yu 等 2013-10-31T03:40:06Z 置信度 0.70
• Approach to neuromorphic circuits
  crossref Alice C Parker 2023-11-09T12:29:33Z 置信度 0.70
• Artificial Synapses based on 2D Materials for Neuromorphic Computing
  crossref Lin Wang, Yong-Wei Zhang, Dongzhi Chi, Kah-Wee Ang 2021-07-13T22:25:06Z 置信度 0.70
• Path Planning and Moving Obstacle Avoidance with Neuromorphic Computing
  crossref Motoki Sakurai, Yosuke Ueno, Masaaki Kondo 2021-05-10T22:54:16Z 置信度 0.70
• CMOS-RRAM Neuromorphic Accelerators Using Multi-Bit Neurons
  crossref Vishal Saxena, Aly Moussa 2025-11-25T18:26:55Z 置信度 0.70
• Synaptic Sampling Networks with True Random Number Generation
  crossref J. Darby Smith, William Severa, James B. Aimone 2026-01-21T21:07:17Z 置信度 0.70
• Cross-Modal Neuromorphic Semantic Segmentation based on Knowledge Distillation
  crossref Dalia Hareb, Jean Martinet, Benoit Miramond 2025-11-14T18:46:15Z 置信度 0.70
• A Unified, Interpretable, and Scalable Deep Learning Framework Integrating Foundation Models, Self-Supervised Learning, and Neuromorphic Computing for Robust Multi-Class Image Recognition
  crossref Raghavendra Rao Ankam, Burra Ramanuja Srinivas, G Maheswara Rao, S. Mallikarjunaiah 2026-03-09T08:27:17Z 置信度 0.70
• Adiabatic Leaky Integrate-and-Fire Neurons with Tunable Refractory Period in 180nm CMOS Technology for Ultra-Low Energy Brain-Inspired Neuromorphic Computing
  Abstract In recent years, the In-Memory-Computing in charge domain has gained significant interest as a promising solution to further enhance the energy efficiency of neuromorphic hardware. In this work, we explore the synergy between the brain-inspired comput…
  preprints Marco Massarotto, Stefano Saggini, Mirko Loghi, David Esseni 2024 置信度 0.74
• Affordable emerging computer hardware for neuromorphic computing applications
  crossref Morgan Bishop, Michael J. Moore, Daniel J. Burns, Robinson E. Pino 等 2010-10-19T14:58:15Z 置信度 0.70
• An inertial neuro-dynamic system for solving zero-one integer programming
  crossref Shuting Wei, Xing He 2021-11-29T20:59:32Z 置信度 0.70
• Pseudocapacitive and Ion‐Insertion Materials: A Bridge between Energy Storage, Electronics and Neuromorphic Computing
  Abstract There is considerable interest in new solid‐state materials for many applications, from energy storage to electronics and neuromorphic computing. This concept paper highlights how pseudocapacitive and ion‐insertion materials, for their inherent capabi…
  crossref Marina Mastragostino, Francesca Soavi 2021-05-11T10:32:08Z 置信度 0.70
• Energy-efficient implementation of spiking recurrent cells on FPGA
  Abstract Spiking neural networks (SNNs) can significantly reduce energy consumption compared to conventional artificial neural networks when spiking activity is sparse and the neuron model is hardware-friendly. However, biologically faithful models are often t…
  crossref Pascal Harmeling, Florent De Geeter, Guillaume Drion 2026-06-01T22:51:28Z 置信度 0.70
• Fault-Tolerant-Driven Clustering for Large Scale Neuromorphic Computing Systems
  crossref Yuting Wu, Bo Ding, Qi Xu, Song Chen 2020-04-24T01:16:57Z 置信度 0.70
• The rise of two-dimensional materials based memtransistors for neuromorphic computing
  crossref Tian Tan, Qing Xu, Xuewei Feng 2025-10-21T06:38:25Z 置信度 0.70
• Revolutionizing AI with Brain-Inspired Technology
  crossref 2024-11-29T15:16:27Z 置信度 0.70
• Review for "Controlling the phase transition dynamics of GeTe by Sn substitution for phase change memory, photodetection and neuromorphic devices"
  crossref 2025-11-28T21:10:51Z 置信度 0.70
• Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors
  Abstract Mixed-signal neuromorphic processors provide extremely low-power operation for edge inference workloads, taking advantage of sparse asynchronous computation within spiking neural networks (SNNs). However, deploying robust applications to these devices…
  crossref Ugurcan Cakal, Maryada, Chenxi Wu, Ilkay Ulusoy 等 2024-02-29T22:23:49Z 置信度 0.70
• Polarity‐Controlled Volatile HfO ₂ Memristors with Bimodal Conductance for Neuromorphic Synapses and Reservoir Computing
  Abstract In this work, an HfO 2 ‐based memristor exhibiting bimodal switching, wherein the device's conductance is modulated not only by the input stimulus but also by the polarity of the read voltage, is introduced. Uniquely, this device demonstrates reliable…
  europepmc Yuseong Jang, Chanmin Hwang, Myoungsu Chae, Taegi Kim 等 2025-11-03T09:22:02Z 置信度 0.80
• Neuromorphic Architectures: Efficient and Parallel Post-Moore Scientific Computing Potential.
  crossref John Smith, William Severa 2023-11-03T03:01:15Z 置信度 0.70
• Efficient Hardware Acceleration of Spiking Neural Networks Using FPGA: Towards Real-Time Edge Neuromorphic Computing
  crossref Soukaina El Maachi, Abdellah Chehri, Rachid Saadane 2024-09-25T17:28:12Z 置信度 0.70
• Alleviating the Communication Bottleneck in Neuromorphic Computing with Custom-Designed Spiking Neural Networks
  For most, if not all, AI-accelerated hardware, communication with the agent is expensive and heavily bottlenecks the hardware performance. This omnipresent hardware restriction is also found in neuromorphic computing: a novel style of computing that involves d…
  crossref James S. Plank, Charles P. Rizzo, Bryson Gullett, Keegan E. M. Dent 等 2025-09-08T11:51:12Z 置信度 0.70
• Mobile-compatible neuromorphic optical computing enabled by dual-emission photonic materials
  Abstract Artificial intelligence (AI) and neuromorphic computing demand hardware platforms that combine energy efficiency with physically informed data processing. Photonics offers unique advantages in this context, but optical neuromorphic systems in which me…
  crossref Lília M S Dias, Ana R Bastos, Lianshe Fu, Albano N Carneiro Neto 等 2026-05-07T22:51:58Z 置信度 0.70
• Neuromorphic photonics: development of the field
  crossref Xuhan Guo, Yikai Su 2024-01-18T15:12:00Z 置信度 0.70
• Optoelectronic synapses for two-dimensional neuromorphic photonics
  crossref Xi Chen, Runze Li 2024-01-18T15:12:14Z 置信度 0.70
• Is Neuromorphic MNIST Neuromorphic? Analyzing the Discriminative Power of Neuromorphic Datasets in the Time Domain
  A major characteristic of spiking neural networks (SNNs) over conventional artificial neural networks (ANNs) is their ability to spike, enabling them to use spike timing for coding and efficient computing. In this paper, we assess if neuromorphic datasets reco…
  crossref Laxmi R. Iyer, Yansong Chua, Haizhou Li 2021-03-25T07:57:44Z 置信度 0.70
• Multimodal Neuromorphic Computing for Cancer Diagnosis: Architecture, Clinical Fusion and Energy Analysis
  crossref Shruti Bhandari, Md Shaba Sayeed, Sanjog Dhakal, Tolga Ensari 等 2026-06-22T19:53:10Z 置信度 0.70
• Evolving neuromorphic flight control for a flapping‐wing mechanical insect
  Purpose The purpose of this paper is to present an approach to employ evolvable hardware concepts, to effectively construct flapping‐wing mechanism controllers for micro robots, with the evolved dynamically complex controllers embedded in a, physically realiza…
  crossref Sanjay K. Boddhu, John C. Gallagher 2010-03-27T08:08:44Z 置信度 0.70
• TaO_x based memristor model and its emulator design for future neuromorphic computing
  crossref Pratyusha Nune, Santanu Mandal 2021-08-23T22:03:11Z 置信度 0.70
• Perspective on investigation of neurodegenerative diseases with neurorobotics approaches
  Abstract Neurorobotics has emerged from the alliance between neuroscience and robotics. It pursues the investigation of reproducing living organism-like behaviors in robots by means of the embodiment of computational models of the central nervous system. This …
  crossref Silvia Tolu, Beck Strohmer, Omar Zahra 2023-03-09T22:28:14Z 置信度 0.70
• Dynamical memristors for higher-complexity neuromorphic computing
  crossref Suhas Kumar, Xinxin Wang, John Paul Strachan, Yuchao Yang 等 2022-04-08T12:02:46Z 置信度 0.70
• A Review of Neuromorphic Computing: A Promising Approach for the IoT-Based Smart Manufacturing
  crossref R. Joshua Arul Kumar, S. Titus, B. Janet 2022-01-04T15:29:51Z 置信度 0.70
• Switching plasticity in compensated ferrimagnetic multilayers for neuromorphic computing
  Current-induced multilevel magnetization switching in ferrimagnetic spintronic devices is highly pursued for the application in neuromorphic computing. In this work, we demonstrate the switching plasticity in Co/Gd ferrimagnetic multilayers where the binary st…
  crossref Weihao Li, Xiukai Lan, Xionghua Liu, Enze Zhang 等 2022-08-16T09:44:18Z 置信度 0.70
• The Spatial Effect of the Pinna for Neuromorphic Speech Denoising
  crossref Ranganath Selagamsetty, Joshua San Miguel, Mikko Lipasti 2025-07-08T13:36:20Z 置信度 0.70
• Neuromorphic Classification of Geophone Signals with Legendre Memory Units
  crossref Avi Hazan, Shlomo Greenberg, Elishai Ezra Tsur 2026-01-14T20:38:47Z 置信度 0.70
• Adaptive Spatial Hysteresis for Neuromorphic Winner-Take-All ISFET Clusters
  crossref Tanmay Lad, Prateek Tripathi, Pantelis Georgiou 2026-01-14T20:38:47Z 置信度 0.70
• Review for "Controlling the phase transition dynamics of GeTe by Sn substitution for phase change memory, photodetection and neuromorphic devices"
  crossref 2025-11-28T21:10:51Z 置信度 0.70
• Performance of Graphene Oxide-based Memristor for Nonvolatile Memory and Neuromorphic Computing
  crossref Kanupriya Varshney, Mani Shankar Yadav, Devarshi M. Das, Brajesh Rawat 2023-05-15T17:51:05Z 置信度 0.70
• Thermal optimization for memristor-based hybrid neuromorphic computing systems
  crossref Chi-Ruo Wu, Wei Wen, Tsung-Yi Ho, Yiran Chen 2016-03-10T16:48:08Z 置信度 0.70
• Comparing different nonlinearities in readout systems for optical neuromorphic computing networks
  Abstract Nonlinear activation is a crucial building block of most machine-learning systems. However, unlike in the digital electrical domain, applying a saturating nonlinear function in a neural network in the analog optical domain is not as easy, especially i…
  crossref Chonghuai Ma, Joris Lambrecht, Floris Laporte, Xin Yin 等 2021-12-17T11:14:56Z 置信度 0.70
• Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits
  Abstract Understanding how biological neural networks carry out learning using spike-based local plasticity mechanisms can lead to the development of real-time, energy-efficient, and adaptive neuromorphic processing systems. A large number of spike-based learn…
  crossref Lyes Khacef, Philipp Klein, Matteo Cartiglia, Arianna Rubino 等 2023-10-23T18:32:23Z 置信度 0.70
• Introduction
  crossref Felix Staudigl, Rainer Leupers 2026-01-22T14:21:59Z 置信度 0.70
• Unsupervised feature learning in spiking neural networks using nonlinear interface dipole modulation-based synaptic devices
  Abstract Recently, a three-terminal interface dipole modulation field-effect transistor (IDM FET) memory device has been proposed that leverages electric-field-induced dipole modulation at oxide/oxide interfaces. This device has been reported to exhibit a doub…
  crossref Noriyuki Miyata 2026-04-15T22:51:42Z 置信度 0.70
• Spiking Neural Networks in Neuromorphic Computing: A New Paradigm for Machine Learning
  crossref Prasanta Panda, Debaryaan Sahoo, Mukundan A P, Debarjun Sahoo 2026-05-08T19:37:10Z 置信度 0.70
• 227Appendix
  crossref 2026-07-06T19:15:47Z 置信度 0.70