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• Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems
  crossref Huajin Tang, Tiejun Huang, Jeffrey L. Krichmar, Garrick Orchard 等 2018-06-08T19:01:06Z 置信度 0.70
• Spin-Torque-Nano-Oscillator based neuromorphic computing assisted by laser
  crossref Hooman Farkhani, Tim Bohnert, Mohammad Tarequzzaman, Diogo Costa 等 2019-06-13T22:34:52Z 置信度 0.70
• Dynamic Characteristic Analysis of FN-HR Neural Network Based on Synapse Coupling of Bistable Memristor
  crossref Chuangchuang Li, Ce Sun, Yanfeng Wang, Junwei Sun 等 2024-03-19T18:09:52Z 置信度 0.70
• Digital-assisted noise-eliminating training for memristor crossbar-based analog neuromorphic computing engine
  crossref Beiye Liu, Miao Hu, Hai Li, Zhi-Hong Mao 等 2013-05-28T16:35:41Z 置信度 0.70
• Towards spiking neuromorphic system-on-a-chip with bio-plausible synapses using emerging devices
  crossref Vishal Saxena, Xinyu Wu, Ira Srivastava, Kehan Zhu 2017-09-01T12:27:52Z 置信度 0.70
• A review on device requirements of resistive random access memory (RRAM)-based neuromorphic computing
  With the arrival of the era of big data, the conventional von Neumann architecture is now insufficient owing to its high latency and energy consumption that originate from its separated computing and memory units. Neuromorphic computing, which imitates biologi…
  crossref Jeong Hyun Yoon, Young-Woong Song, Wooho Ham, Jeong-Min Park 等 2023-09-06T16:32:21Z 置信度 0.70
• Wave Interference Functions for Neuromorphic Computing
  crossref Mostafizur Rahman, Santosh Khasanvis, Jiajun Shi, Csaba Andras Moritz 2015-06-03T20:41:45Z 置信度 0.70
• Digital coded exposure formation of frames from event-based imagery
  Abstract Event-driven neuromorphic imagers have a number of attractive properties including low-power consumption, high dynamic range, the ability to detect fast events, low memory consumption and low band-width requirements. One of the biggest challenges with…
  crossref Andrew Gothard, Daniel Jones, Andre Green, Michael Torrez 等 2022-01-07T22:11:36Z 置信度 0.70
• Photon-Memristive Device for Neuromorphic Computing
  crossref Yuqing Fang, Qingxuan Li, Tianyu Wang, Jialin Meng 等 2022-12-02T21:06:48Z 置信度 0.70
• Neuromorphic Computing Chips for Edge AI: A Comprehensive Analysis of Brain-Inspired Hardware Architecture for Real-Time Intelligent Systems
  Background of study: Edge computing devices like autonomous robots and IoT sensors need sophisticated AI for real-time decisions, but conventional processors consume 15-300 watts during inference, creating critical limitations for battery-powered deployments. …
  crossref Anwar Ali Sathio, Chiragh Kumar Maheshwari 2026-03-08T02:16:40Z 置信度 0.70
• Neuromorphic hardware for real-time intraoperative HFO detection
  crossref F. Costa, G. Ramantani, G. Indiveri, J. Sarnthein 2024-02-29T16:38:09Z 置信度 0.70
• (Invited) Enabling Bio-Realistic Artificial Intelligence Hardware with Neuromorphic Nanoelectronics
  The exponentially improving performance of digital computers has recently slowed due to the speed and power consumption issues resulting from the von Neumann bottleneck. In contrast, neuromorphic computing aims to circumvent these limitations by spatially co-l…
  crossref Mark C Hersam 2024-08-19T15:53:08Z 置信度 0.70
• Enhancing Long-Term Memory in Carbon-Nanotube-Based Optoelectronic Synaptic Devices for Neuromorphic Computing
  This study investigates the impact of spin-coating speed on the performance of carbon nanotube (CNT)-based optoelectronic synaptic devices, focusing on their long-term memory properties. CNT films fabricated at lower spin speeds exhibited a greater thickness a…
  crossref Seung Hun Lee, Hye Jin Lee, Dabin Jeon, Hee-Jin Kim 等 2024-09-16T04:14:07Z 置信度 0.70
• Single-crystal ferroelectric LiNbO3 thin film-based synaptic devices enabled with tunable domain wall current for neuromorphic computing
  Neuromorphic devices can emulate the human brain to process information, which receives lots of attention in the field of artificial intelligence. Synaptic devices based on ferroelectric thin films feature low-power consumption, multifunctionality, and scalabi…
  crossref Jiefei Zhu, Changjian Zhou, Qi Liu, Min Zhang 2024-11-04T15:43:49Z 置信度 0.70
• Reservoir Computing Models for Slow Electronics
  crossref Gouhei Tanaka 2025-10-31T11:42:55Z 置信度 0.70
• NeuroPong: the event-based camera driven embedded neuromorphic system
  Abstract Neuromorphic computing is a novel style of computing that features low-power spiking neural networks (SNNs) as the main compute components. It is an event-driven computational paradigm that naturally pairs with event-based cameras and their asynchrono…
  crossref Charles P Rizzo, Bryson Gullett, Alex M Crumley, Maxwell E Marcum 等 2025-04-25T18:50:31Z 置信度 0.70
• Inkjet-printed niobium tungsten oxide thin-film memristors for neuromorphic computing
  crossref Guanyao Zhu, Xiaomei Chen, Jingchen Ma, Guoshu Dai 等 2025-03-03T11:34:51Z 置信度 0.70
• Neuromorphic computing for modeling neurological and psychiatric disorders: implications for drug development
  Abstract The emergence of neuromorphic computing, inspired by the structure and function of the human brain, presents a transformative framework for modelling neurological disorders in drug development. This article investigates the implications of applying ne…
  crossref Amisha S. Raikar, J Andrew, Pranjali Prabhu Dessai, Sweta M. Prabhu 等 2024-10-10T16:22:12Z 置信度 0.70
• Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis with Neuromorphic Computing
  crossref Xinrui Chen, Xiang Li, Shupeng Yu, Yaguo Lei 等 2024-02-12T19:42:29Z 置信度 0.70
• Scaling neuromorphic systems with 3D technologies
  crossref Elisa Vianello, Melika Payvand 2024-06-27T16:19:45Z 置信度 0.70
• Binarized Neural Network Comprising Quasi‐Nonvolatile Memory Devices for Neuromorphic Computing
  Abstract This study presents a binarized neural network (BNN) comprising quasi‐nonvolatile memory (QNVM) devices that operate in a positive feedback loop mechanism and exhibit an extremely low subthreshold swing (≤ 5 mV dec −1 ) and a high on/off ratio (≥ 10 7…
  crossref Yunwoo Shin, Juhee Jeon, Kyoungah Cho, Sangsig Kim 2024-05-29T00:38:55Z 置信度 0.70
• Resistive switching and synaptic characteristics of Hf-doped ZnO sandwiched between HfO2-based memristors for neuromorphic computing
  crossref Jianhao Feng, Jiajia Liao, Yanping Jiang, Fenyun Bai 等 2024-07-09T01:04:42Z 置信度 0.70
• Resistive switching properties in ferromagnetic co-doped ZnO thin films-based memristors for neuromorphic computing
  crossref Muhammad Faisal Hayat, Naveed Ur Rahman, Aziz Ullah, Nasir Rahman 等 2024-06-02T13:01:37Z 置信度 0.70
• Exploring Neuromorphic Vision Sensors in Space Exploration and Applications
  crossref Yusra Alkendi, Alexey Simonov, Anton Ivanov 2025-01-31T21:07:16Z 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 2023-11-25T01:33:45Z 置信度 0.70
• An empirical study on optimizing binary spiking neural networks for neuromorphic computing
  crossref Ping He, Rong Xiao, Chenwei Tang, Shudong Huang 等 2025-06-24T19:18:48Z 置信度 0.70
• Nitrogen-doped carbon quantum dot-decorated In2O3 synaptic transistors for neuromorphic computing
  Nitrogen-doped carbon quantum dots (N-CQDs) are promising materials for electronic devices due to their variable bandgap and structural stability. Here, we integrate N-CQDs into In2O3 synaptic transistors with electrolyte gating, resulting in a hybrid structur…
  crossref Muhammad Zahid, Muhammad Irfan Sadiq, Chenxing Jin, Jingwen Wang 等 2024-11-08T18:42:13Z 置信度 0.70
• Dynamic FeO _<i>x</i> /FeWO _<i>x</i> nanocomposite memristor for neuromorphic and reservoir computing
  Memristors are crucial in computing due to their potential for miniaturization, energy efficiency, and rapid switching, making them particularly suited for advanced applications such as neuromorphic computing and in-memory operations.
  europepmc Muhammad Ismail, Maria Rasheed, Yongjin Park, Jungwoo Lee 等 2024 置信度 0.80
• Review of memristor based neuromorphic computation: opportunities, challenges and applications
  Abstract The memristor is regarded as one of the promising possibilities for next-generation computing systems due to its small size, easy construction, and low power consumption. Memristor-based novel computing architectures have demonstrated considerable pro…
  crossref Shekinah Archita S, Ravi V 2024-07-22T19:47:37Z 置信度 0.70
• Spatial Non-Cooperative Target Detection and Tracking Based on Neuromorphic Sensors
  crossref Yashi Lei 2025-01-31T21:02:01Z 置信度 0.70
• Improving time-domain winner-take-all circuit for neuromorphic computing systems
  With the rapid advancements of information processing systems, winner- take-all (WTA) circuits have emerged as essential components in a wide range of cognitive functions and decision-making applications. Neuromorphic computing systems, inspired by the biologi…
  crossref Son Ngoc Truong, Tu Tien Ngo 2025-11-08T21:26:58Z 置信度 0.70
• Neuromorphic Electronics at BioCAS: A 20-year Legacy of Sparking Technology Revolutions
  crossref Akwasi Akwaboah, Ralph Etienne-Cummings 2024-12-23T19:10:53Z 置信度 0.70
• Multi-state nonvolatile capacitances in HfO2-based ferroelectric capacitor for neuromorphic computing
  In the last decade, HfO2-based ferroelectric capacitors (FeCaps) have undergone significant advancements, particularly within the realm of nonvolatile ferroelectric random access memories (FeRAMs). Nonetheless, the READ operation in FeRAMs is inherently destru…
  crossref Shuyu Wu, Xumeng Zhang, Rongrong Cao, Keji Zhou 等 2024-03-06T06:55:15Z 置信度 0.70
• Low-loss Non-volatile Phase Change Material on Silicon for Neuromorphic Photonics
  crossref Rakshitha Kallega, Ramesh Karuppannan, Shankar Kumar Selvaraja 2024-06-10T17:19:48Z 置信度 0.70
• Enhanced ferroelectric photovoltaic performance of Bi2FeCrO6 thin films for neuromorphic computing applications
  Nowadays, ferroelectric photovoltaic synapses have attracted great attention due to its polarization controllable and self-powered features. However, the large bandgaps of ferroelectric oxide materials limit its application. This study focuses on the enhanceme…
  crossref Yucheng Kan, Jianquan Liu, Rui Chen, Yuan Liu 等 2024-03-14T07:29:45Z 置信度 0.70
• Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems
  crossref Ali Safa, Lars Keuninckx, Georges Gielen, Francky Catthoor 2024-07-17T18:02:41Z 置信度 0.70
• Bio-Inspired Active Silicon Dendrite for Direction Selectivity
  crossref Luke Parker, Suma G. Cardwell, Frances S. Chance, Scott Koziol 2024-12-02T18:37:03Z 置信度 0.70
• Ultrathin Tio2-Interfaced Hafnia Ferroelectric Transistor for Large-Scale Neuromorphic Computing
  crossref Changhyeon Han, Ryun-Han Koo, Wonjun Shin, Jangsaeng Kim 等 2025-04-15T04:40:54Z 置信度 0.70
• Regulating Oxygen Vacancies to Achieve Stable Non-Volatile Switching Characteristics and Neuromorphic Computing in A-Ga₂O₃ Based Memristors
  crossref Yuanyuan Zhu, Xin Wang, Miao Zhang, Yunfei Zhang 等 2025-07-16T20:41:16Z 置信度 0.70
• ReRAM-Based Crossbar Compatible Equality Checker for Neuromorphic Applications
  crossref Gambali Seshasai Chaitanya, Shubham Pande, Ankit Arora 2024-09-03T17:20:38Z 置信度 0.70
• Neuromorphic Encoding / Decoding of Data-Event Streams Based on the Poisson Point Process Model
  crossref Viacheslav Antsiperov 2024-11-24T21:11:16Z 置信度 0.70
• Exploring the potential of TiO2/ZrO2 memristors for neuromorphic computing: Annealing strategy and synaptic characteristics
  crossref Sarfraz Ali, Muhammad Hussain, Muhammad Ismail, Muhammad Waqas Iqbal 等 2024-05-15T01:51:40Z 置信度 0.70
• Using STACS as a High-Performance Simulation Backend for Fugu
  crossref Felix Wang, William Severa 2024-12-02T18:37:03Z 置信度 0.70
• Intelligent Quantum Sensing with Computational Neuromorphic Imaging
  This work presents a solution that leverages the synergy of diamond quantum sensing and computational neuromorphic imaging, which brings high precision and a significant computation time reduction. It gives impetus to the advancement of more intelligent quantu…
  crossref Chutian Wang, Madhav Gupta, Zhiqin Chu, Edmund Y. Lam 2024-09-09T15:51:00Z 置信度 0.70
• Neuromorphic Reservoir Computing for Heartbeat Classification
  crossref Maxim Igorevich Kostyukov, Lev Alexandrovich Smirnov, Grigoriy Vladimirovich Osipov 2025-10-17T18:02:59Z 置信度 0.70
• Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines
  crossref Anmol Biswas, Sharvari Ashok Medhe, Raghav Singhal, Udayan Ganguly 2024-12-02T18:37:03Z 置信度 0.70
• Two-dimensional MoS2-based artificial synaptic transistor for neuromorphic computing
  crossref Jeongyeol Park, Moonsang Lee 2025-02-20T12:49:33Z 置信度 0.70
• Neuromorphic Computing for Edge AI
  The Neuromorphic computing and Edge AI (Artificial intelligence) are two inter related concepts that have left a lasting impression in recent years. As a result of the ability of neuromorphic computing to imitate the capability of the brain for processing info…
  crossref Dr Basanti. Ghanti, Nikita. Patil, Nidhi. S. M, Nikhita.Salgar 2025-12-27T04:19:08Z 置信度 0.70
• Exploring Neuromorphic Computing with Deep Learning
  crossref Yogesh Kumar Sharma, Smitha, Shaik Saddam Hussain, Leena Arya 2025-06-06T21:20:12Z 置信度 0.70
• Exploring Extreme Quantization in Spiking Language Models
  crossref Malyaban Bal, Yi Jiang, Abhronil Sengupta 2024-12-02T18:37:03Z 置信度 0.70
• Memristor-Emulating-Integrate-and-Fire Neuron-Based Fully Neuromorphic Framework for Pattern Recognition
  crossref Prashant Kumar, Rajeev Kumar Ranjan, Sung-Mo Kang 2024-08-07T14:08:46Z 置信度 0.70
• Author response for "Training Coupled Phase Oscillators as a Neuromorphic Platform using Equilibrium Propagation"
  crossref Wang, Qingshan, Wanjura, Clara C., Marquardt, Florian 2024-08-30T17:11:48Z 置信度 0.70
• On-chip learning with organic neuromorphic systems
  crossref Yoeri van de Burgt 2024-09-30T19:50:05Z 置信度 0.70
• Recent Advances in Next-Generation Electrochemical Ionic Synapse for Neuromorphic Computing
  Neuromorphic computing, inspired by the structure and function of biological neural networks, offers a promising alternative to traditional von Neumann architectures by integrating memory and computation for enhanced energy efficiency and processing speed. Ele…
  crossref Hanju Kim, Woo-Bin Jung 2025-04-03T23:56:45Z 置信度 0.70
• Towards Bioinspired Localization and Mapping with Neuromorphic Computing
  crossref Bernardo Manuel Pirozzo, Mariano De Paula, Sebastián Aldo Villar, Bruno Pirozzo 等 2026-01-21T21:06:47Z 置信度 0.70
• Saturation region attractivity analysis for memristive neural networks under the strong external input
  crossref Gang Bao, Xue Zhou, Wenbin Hu 2021-11-29T20:59:32Z 置信度 0.70
• Hyperdimensional Computing Using Time-To-Spike Neuromorphic Circuits
  crossref Graham Bent, Chris Simpkin, Yuhua Li, Alun Preece 2022-09-30T19:56:04Z 置信度 0.70
• E2SIFT: Neuromorphic SIFT via Direct Feature Pyramid Recovery from Events
  crossref Chris Henry, Paras Maharjan, Zhu Li, George York 2024-09-27T18:34:45Z 置信度 0.70
• High-Speed Neuromorphic Computing Using Spin-Controlled VCSELs
  crossref Krishan Harkhoe, Guy Verschaffelt, Guy Van der Sande 2021-09-30T17:43:06Z 置信度 0.70
• Emerging Hybrid Models for Neuromorphic AI and Quantum Computing
  crossref 2026-03-04T19:15:56Z 置信度 0.70
• Nanorods-Based Memristors: Advancing Bio-Inspired System and Neuromorphic Computing
  crossref Ji Eun Kim, Suk Yeop Chun, Keunho Soh, Jung Ho Yoon 2025-06-30T17:36:02Z 置信度 0.70
• Neuromorphic Lip-Reading with Signed Spiking Gated Recurrent Units
  crossref Manon Dampfhoffer, Thomas Mesquida 2024-09-27T18:27:42Z 置信度 0.70
• Energy Efficiency Evaluation of Neural Network Architectures on the Neuromorphic-MNIST Dataset
  crossref Niti Thienbutr, Wansuree Massagram 2024-12-03T18:55:07Z 置信度 0.70
• Neuromorphic Computing with Nonlinear Dynamics in Photonic Crystal Fiber
  crossref Azka Maula Iskandar Muda, Uğur Teğin 2025-08-15T18:11:27Z 置信度 0.70
• Interplay of multiple synaptic plasticity features in filamentary memristive devices for neuromorphic computing
  Abstract Bio-inspired computing represents today a major challenge at different levels ranging from material science for the design of innovative devices and circuits to computer science for the understanding of the key features required for processing of natu…
  crossref Selina La Barbera, Adrien F. Vincent, Dominique Vuillaume, Damien Querlioz 等 2016-12-17T06:46:52Z 置信度 0.70
• A 28nm 15.09nJ/inference Neuromorphic Processor with SRAM-Based Charge Domain in-Memory-Computing
  crossref Yuchao Zhang, Zihao Xuan, Yi Kang 2024-01-24T18:33:59Z 置信度 0.70
• Experimental study of LiNbO3 memristors for use in neuromorphic computing
  crossref Shu Wang, Weisong Wang, Chris Yakopcic, Eunsung Shin 等 2016-10-19T10:54:47Z 置信度 0.70
• Introduction to Neuromorphic Communication
  crossref Tor Sverre Lande 2007-08-26T02:15:23Z 置信度 0.70
• Hardware-friendly implementation of physical reservoir computing with CMOS-based time-domain analog spiking neurons
  Abstract This paper introduces an analog spiking neuron that utilizes time-domain information, i.e. a time interval of two signal transitions and a pulse width, to construct a spiking neural network (SNN) for a hardware-friendly physical reservoir computing (R…
  crossref Nanako Kimura, Ckristian Duran, Zolboo Byambadorj, Ryosho Nakane 等 2025-05-21T22:50:06Z 置信度 0.70
• Artificial nanophotonic neuron with internal memory for biologically inspired and reservoir network computing
  Abstract Neurons with internal memory have been proposed for biological and bio-inspired neural networks, adding important functionality. We introduce an internal time-limited charge-based memory into a III–V nanowire (NW) based optoelectronic neural node circ…
  crossref David Winge, Magnus Borgström, Erik Lind, Anders Mikkelsen 2023-09-04T22:28:08Z 置信度 0.70
• Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system
  crossref Md Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann 等 2017-07-10T21:41:30Z 置信度 0.70
• Unraveling the Atomic Redox Process in Quantum Conductance and Synaptic Events for Neuromorphic Computing
  Abstract Manipulation of atomic point contact (APC) in memristive devices is considered as an essential approach in emulating biological synaptic functions and paves the way for developing neuromorphic computing systems. In this article, the conductance modula…
  crossref Karthik Krishnan, Saranyan Vijayaraghavan 2022-08-28T21:51:25Z 置信度 0.70
• Towards engineering in memristors for emerging memory and neuromorphic computing: A review
  Abstract Resistive random-access memory (RRAM), also known as memristors, having a very simple device structure with two terminals, fulfill almost all of the fundamental requirements of volatile memory, nonvolatile memory, and neuromorphic characteristics. Its…
  crossref Andrey S. Sokolov, Haider Abbas, Yawar Abbas, Changhwan Choi 2021-02-01T09:17:00Z 置信度 0.70
• Probabilistic computing with percolating nanoparticle networks using experimental data with signatures of criticality
  Abstract Percolating networks of nanoparticles (PNNs) are promising systems for neuromorphic computing due to their brain-like network structure and dynamics. In particular, electrical spiking in PNNs meets criteria for criticality, which is thought to be the …
  crossref Sofie J Studholme, Joshua B Mallinson, Jamie K Steel, Simon A Brown 2025-03-14T22:49:21Z 置信度 0.70
• RCbench: a unified framework for benchmarking reservoir computing systems
  Abstract Reservoir computing (RC) is a computational framework where a fixed dynamical reservoir projects an input into a higher-dimensional state that is then analyzed by a readout , which is trained to map the reservoir state into the desired output. While t…
  crossref Davide Pilati, Andrea Ceni, Fabio Michieletti, Claudio Gallicchio 等 2026-02-10T22:51:22Z 置信度 0.70
• Adaptive Attention with a Neuromorphic Hybrid Frame and Event-based Camera
  crossref Avinoam Bitton, Hadar Cohen Duwek, Elishai Ezra Tsur 2023-04-21T17:58:16Z 置信度 0.70
• Neuroscience-inspired facial mask recognition using MobileNet and computer vision in real-time video streaming
  crossref Veerpal Kaur, Reetu Malhotra, Gagandeep Kaur, V. Sindhu 等 2025-01-18T21:44:31Z 置信度 0.70
• Integrated Photonics for Neuromorphic Computing
  crossref Lennart Meyer, Rongyang Xu, Wolfram Pernice 2026-01-13T10:15:00Z 置信度 0.70
• ML-Based Finger-Vein Biometric Authentication and Hardware Implementation Strategies
  The industrial world is facing swiftly changing challenges, including technical fluctuations, swings in global markets, and climate change. Digitalization and automation are the game changers to meet these challenges. Machine learning has made an impact on the…
  crossref Nayan Keshri, Swapnadeep Sarkar, Yash Raj Singh, Sumathi Gokulanathan 等 2023-07-19T08:20:15Z 置信度 0.70
• Neuromorphic Computing for Autonomous Mobility in Natural Environments
  crossref Mohammad Omar Khyam, David Alexandre, Ananya Bhardwaj, Ruihao Wang 等 2019-08-23T12:03:10Z 置信度 0.70
• Voltage-responsive biomimetic membranes and ion channels for neuromorphic computing
  crossref Stephen A. Sarles, Joseph S. Najem, Ahmed S. Mohamed 2025-11-03T04:58:11Z 置信度 0.70
• Spike Timing Mechanisms in Neuromorphic Vision Sensors using Memristor-based non-volatile Memory devices
  Spike-timing mechanisms in neuromorphic vision sensors represent a cutting-edge approach to mimicking biological vision systems' efficiency and adaptability. These systems utilize memristor-based non-volatile memory devices to achieve high precision and low po…
  crossref Yiping Su, Dajeong Hwang, Bing Wang 2024-07-24T16:16:34Z 置信度 0.70
• Squaraine-Based Memristors and Their Neuromorphic Capabilities
  crossref James W. Ryan, Aaron Cookson 2024-05-20T10:18:17Z 置信度 0.70
• Optimization of Neuromorphic Learning Rate Using Neural Network Simulation
  crossref Lauren Park 2025-01-28T22:45:10Z 置信度 0.70
• 2D Metal–Organic Framework Based Optoelectronic Neuromorphic Transistors for Human Emotion Simulation and Neuromorphic Computing
  2D metal–organic frameworks (2D‐MOFs) have been extensively studied as promising materials in the fields of electrocatalysis, drug delivery, electronic devices, etc. However, few studies have explored the application potential of 2D‐MOFs in novel neuromorphic …
  crossref Dapeng Liu, Qianqian Shi, Junyao Zhang, Li Tian 等 2022-09-25T23:14:20Z 置信度 0.70
• Enhancing temporal learning in recurrent spiking networks for neuromorphic applications
  Abstract Training Recurrent Spiking Neural Networks (RSNNs) with binary spikes for tasks of extended time scales presents a challenge due to the amplified vanishing gradient problem during back propagation through time. This paper introduces three crucial elem…
  crossref Ismael Balafrej, Soufiyan Bahadi, Jean Rouat, Fabien Alibart 2025-05-01T08:13:13Z 置信度 0.70
• Energy-Efficient Neuromorphic Computing with Spiking Neural Networks on Edge Devices: A Dynamic Programming Approach
  The proliferation of Internet of Things devices has necessitated a paradigm shift from centralized cloud computing to edge computing, primarily to mitigate latency and bandwidth constraints. However, deploying complex deep learning models on resource-constrain…
  crossref Robert H. Miller, Sarah J. Bennett 2026-03-11T10:33:07Z 置信度 0.70
• Neuromorphic computing applications for network intrusion detection systems
  crossref Raymond C. Garcia, Robinson E. Pino 2014-05-22T18:54:02Z 置信度 0.70
• Energy efficient analog spiking temporal encoder with verification and recovery scheme for neuromorphic computing systems
  crossref Chenyuan Zhao, Jialing Li, Hongyu An, Yang Yi 2017-05-04T20:32:38Z 置信度 0.70
• Aging-aware Lifetime Enhancement for Memristor-based Neuromorphic Computing
  crossref Shuhang Zhang, Grace Li Zhang, Bing Li, Hai Helen Li 等 2019-05-16T21:29:07Z 置信度 0.70
• Understanding the trade-offs of device, circuit and application in ReRAM-based neuromorphic computing systems
  crossref Bonan Yan, Chenchen Liu, Xiaoxiao Liu, Yiran Chen 等 2018-01-30T21:05:25Z 置信度 0.70
• Total Gain Recovery in Floating Gate Thin-Film Transistors for Neuromorphic and Edge Computing
  We propose a floating-gate (FG) thin-film transistor architecture which alleviates a significant limitation present since the inception of FG field-effect transistors, namely the loss of gain due to parasitic capacitive coupling on the FG [1]. The interest in …
  crossref Eva Bestelink, Olivier de Sagazan, Radu Alexandru Sporea 2020-12-22T18:58:04Z 置信度 0.70
• Neuromorphic LLM Pipelines for Adaptive Big Data Governance Across Distributed Cloud Providers
  crossref Nirmal Sajanraj, Sarvesh Peddi, Ashok Ghimire, Pankaj Kumar Tejraj Jain 2026-03-25T19:54:18Z 置信度 0.70
• Toward transforming space exploration with artificial intelligence neuromorphic computing
  crossref Ari Yu, Seungwan Woo, Hyojung Ahn 2025-05-12T04:58:49Z 置信度 0.70
• Neuromorphic Event-based Processing of Transradial Intraneural Recording for Online Gesture Recognition
  crossref Farah Baracat, Alberto Mazzoni, Silvestro Micera, Giacomo Indiveri 等 2024-02-05T22:38:16Z 置信度 0.70
• Spintronic devices for neuromorphic computing
  crossref YaJun Zhang, Qi Zheng, XiaoRui Zhu, Zhe Yuan 等 2020-02-19T21:02:27Z 置信度 0.70
• Bio-Cognitive Security Framework: A Neuromorphic-AI Approach for Real-Time Healthcare IoT Threat Prevention
  crossref Vikas Kamra, Nitin Gupta, Prakhar Chandra, Aman Pal 2026-04-15T19:22:02Z 置信度 0.70
• COMPUTING AT THE EDGE: THE ROLE OF NEUROMORPHIC CHIPS IN INTELLIGENT ROBOTICS
  The deployment of autonomous mobile robots in resource-constrained environments is currently impeded by the excessive power consumption and latency bottlenecks of traditional Von Neumann architectures. This study investigates the efficacy of neuromorphic compu…
  crossref Manivone Keolavong, Soneva Vong, Thipphavone Phoutthavong 2026-08-08T03:21:55Z 置信度 0.70
• Analysis and Applications of Neuromorphic Memristors in Artificial Intelligence Computing
  Abstract Artificial intelligence (AI) has advanced rapidly in recent years and has been widely applied in healthcare, intelligent sensing, machine perception, and image recognition. Neuromorphic computing, inspired by the structure and operating principles of …
  europepmc Jianhui Wang, Qingxin Chen, Jinhao Zhang, Jialin Meng 等 2026 置信度 0.80
• Neuromorphic systems
  crossref Rick Cattell, Michael Boemler-Rudolph Mercury, Alice C Parker 2023-11-09T12:29:33Z 置信度 0.70