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• A Neuromorphic Sparse Coding Defense to Adversarial Images
  crossref Edward Kim, Jessica Yarnall, Priya Shah, Garrett T. Kenyon 2019-09-12T14:21:08Z 置信度 0.70
• GRSNN: A Flexible Graph-Wired Spiking Neural Network for Neuromorphic Classification and Continual Learning
  crossref Xingyu Tao, Zhongjun Luo, Tomomi Hashimoto 2026-07-18T20:05:41Z 置信度 0.70
• <b>Neuromorphic Electronics Beyond Earth: Opportunities in Microgravity Manufacturing</b>
  Microgravity manufacturing provides a new pathway for producing neuromorphic electronic devices in space, offering both logistical advantages for long-duration missions and unique opportunities to tailor device performance through unique process physics. Recen…
  crossref Ruochen Liu, Sida Luo 2026-04-06T18:39:39Z 置信度 0.70
• Relative Efficiency of Memristive and Digital Neuromorphic Crossbars
  crossref Christopher D. Krieger, David J. Mountain, Mark McLean 2018-07-26T11:58:06Z 置信度 0.70
• Dynamic Reliability Management in Neuromorphic Computing
  Neuromorphic computing systems execute machine learning tasks designed with spiking neural networks. These systems are embracing non-volatile memory to implement high-density and low-energy synaptic storage. Elevated voltages and currents needed to operate non…
  crossref Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das 等 2021-07-21T21:05:57Z 置信度 0.70
• Optical spike amplitude weighting and neuromimetic rate coding using a joint VCSEL-MRR neuromorphic photonic system
  Abstract Spiking neurons and neural networks constitute a fundamental building block for brain-inspired computing, which is poised to benefit significantly from photonic hardware implementations. In this work, we experimentally investigate an interconnected op…
  crossref Matěj Hejda, Eli A Doris, Simon Bilodeau, Joshua Robertson 等 2024-05-14T22:28:55Z 置信度 0.70
• Neuromorphic vision combining events and frames
  Vision neuromorphique combinant événements et images L'intégration des machines avancées dans la vie quotidienne devient progressivement indispensable. Un élément clé de cette intégration réside dans la capacité de ces systèmes à percevoir, comprendre et navig…
  crossref Dalia Hareb 2026-04-09T12:15:45Z 置信度 0.70
• Neuromorphic photonic systems for information processing
  Systèmes photoniques neuro-morphiques pour le traitement de l'information Par une utilisation performante de nombreux algorithmes dont les réseaux neuronaux, l'intelligence artificielle révolutionne le développement de la société numérique. Néanmoins, la tenda…
  crossref Nickson Mwamsojo 2026-04-07T13:29:16Z 置信度 0.70
• Phase Change Memory and Chalcogenide Materials for Neuromorphic Applications: Emphasis on Synaptic Plasticity
  crossref Manan Suri, Barbara DeSalvo 2012-06-27T17:03:30Z 置信度 0.70
• Introduction: What Is ‘Slow Electronics.’
  crossref Isao H. Inoue 2025-10-31T11:42:58Z 置信度 0.70
• Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip
  Abstract By mimicking the neurons and synapses of the human brain and employing spiking neural networks on neuromorphic chips, neuromorphic computing offers a promising energy-efficient machine intelligence. How to borrow high-level brain dynamic mechanisms to…
  crossref Man Yao, Ole Richter, Guangshe Zhao, Ning Qiao 等 2024-05-25T07:01:39Z 置信度 0.70
• Neuromorphic Circuits With Neural Modulation Enhancing the Information Content of Neural Signaling
  crossref Rami A. Alzahrani, Alice C. Parker 2020-07-28T04:42:57Z 置信度 0.70
• Neuromorphic Synapses for Artificial Dendrites
  crossref Wayne C. Westerman, David P. M. Northmore, John. G. Elias 2007-08-26T02:15:23Z 置信度 0.70
• Decoding the Unseen, Shaping the Future
  crossref Isao H. Inoue 2025-10-31T11:42:51Z 置信度 0.70
• Spatiotemporal Pattern Detection with Neuromorphic Circuits
  In this dissertation, neuromorphic circuits are used to implement spiking neural networks in order to detect spatiotemporal patterns. Unsupervised training and detection-by-design techniques were used to attain the appropriate connectomes and perform pattern d…
  crossref Robert C. Ivans 2022-04-05T18:15:32Z 置信度 0.70
• Neuromorphic Configurable Architecture for Robust Motion Estimation
  The robustness of the human visual system recovering motion estimation in almost any visual situation is enviable, performing enormous calculation tasks continuously, robustly, efficiently, and effortlessly. There is obviously a great deal we can learn from ou…
  crossref Guillermo Botella, Manuel Rodríguez, Antonio García, Eduardo Ros 2009-02-25T10:06:12Z 置信度 0.70
• Burstprop for Learning in Spiking Neuromorphic Hardware
  crossref Mike Stuck, Richard Naud 2023-08-28T16:00:57Z 置信度 0.70
• Towards Real-Time Scatter Estimation Directly From Time-of-Flight Signals Using Embedded Neuromorphic Computing
  crossref B. Gouin-Ferland, R. Fontaine, A. Corbeil Therrien 2025-12-18T18:30:51Z 置信度 0.70
• Research on the Calculation Method for Carbon Emission Responsibility in Power System Based on Carbon Flow Theory and Fairness Principle
  crossref Xianfu Zhou, Feng Lu, Zanjue Wu, Kai Chen 等 2024-03-19T18:09:52Z 置信度 0.70
• Nanoscale resistive switching in mixed-valence CuO <i> _x </i> memristors for neuromorphic sensing–computing applications
  Abstract Memristive devices are pivotal for the next generation of neuromorphic computing systems due to their ability to mimic biological synapses. This study investigates the nanoscale resistive switching (RS) characteristics of copper oxide (CuO x ) memrist…
  crossref Rupam Mandal, Tapobrata Som 2025-12-15T22:49:03Z 置信度 0.70
• High hall mobility carbonized steamed buns-based polymer memristor for neuromorphic computing and image recognition
  Abstract The development of new n-type semiconductors is crucial for the further advancement of electronic and optoelectronic devices. Steamed buns, anciently known as "man tou", mainly made of wheat flour and are one of the staple foods for Chinese people. Af…
  crossref Chenjian Zhang, Jiaxuan Liu, Dongliang Zhang, Tianhao Qin 等 2026-04-28T15:17:07Z 置信度 0.70
• ELSA: An Elastic Snn Inference Architecture for Efficient Neuromorphic Computing
  crossref Kang You, Chen Nie, Lee Jun Yan, Ziling Wei 等 2026-08-04T19:09:40Z 置信度 0.70
• Essential Characteristics of Memristors for Neuromorphic Computing (Adv. Electron. Mater. 2/2023)
  crossref Wenbin Chen, Lekai Song, Shengbo Wang, Zhiyuan Zhang 等 2023-02-10T08:09:36Z 置信度 0.70
• Copyright
  crossref 2024-06-28T07:47:12Z 置信度 0.70
• A spiking neural network implementation of Gaussian belief propagation
  Abstract Bayesian inference offers a principled account of information processing in natural agents. However, it remains an open question how neural mechanisms perform their abstract operations. We investigate a hypothesis where a distributed form of Bayesian …
  crossref Sepideh Adamiat, Wouter M Kouw, Bert De Vries 2026-05-18T22:51:58Z 置信度 0.70
• Mixture Random Features Spaces for Robust Adaptive Filtering
  crossref Mingjing Cui, Dongyuan Lin, Yunfei Zheng, Yunxiang Jiang 等 2025-05-19T17:52:05Z 置信度 0.70
• An Asynchronous Soft Macro for Ultra-Low Power Communication in Neuromorphic Computing
  crossref Davide Bertozzi, Kshitij Bhardwaj, Steven M. Nowick 2022-09-05T20:21:42Z 置信度 0.70
• Stimuli‐Responsive Memristive Materials for Artificial Synapses and Neuromorphic Computing (Adv. Mater. 46/2021)
  crossref Hongyu Bian, Yi Yiing Goh, Yuxia Liu, Haifeng Ling 等 2021-11-15T09:06:47Z 置信度 0.70
• Simulation of memristive synapses and neuromorphic computing on a quantum computer
  crossref Ying Li 2021-05-26T15:10:16Z 置信度 0.70
• Spiking neural networks for nonlinear regression of complex transient signals on sustainable neuromorphic processors
  Abstract In recent years, spiking neural networks were introduced in science as the third generation of artificial neural networks leading to a tremendous energy saving on neuromorphic processors. This sustainable effect is due to the sparse nature of signal p…
  crossref Marcus Stoffel, Saurabh Balkrishna Tandale 2024-07-25T10:03:04Z 置信度 0.70
• Solving sparse finite element problems on neuromorphic hardware
  Abstract The finite element method (FEM) is one of the most important and ubiquitous numerical methods for solving partial differential equations (PDEs) on computers for scientific and engineering discovery. Applying the FEM to larger and more detailed scienti…
  crossref Bradley H. Theilman, James B. Aimone 2025-11-13T10:02:11Z 置信度 0.70
• Enhanced synaptic performance in hafnia-based ferroelectric memristors with MIFS structure for neuromorphic computing
  crossref Youngseo Lee, Sungjun Kim 2025-07-16T15:29:03Z 置信度 0.70
• Pt/TiO_x/Ti-based Dynamic Optoelectronic Memristor for Neuromorphic Computing
  crossref Heyi Huang, Jianshi Tang, Bin Gao, Yuyan Wang 等 2022-06-21T19:47:45Z 置信度 0.70
• Spiking recurrent neural networks for neuromorphic computing in nonlinear structural mechanics
  crossref Saurabh Balkrishna Tandale, Marcus Stoffel 2023-05-13T06:32:47Z 置信度 0.70
• Neuromorphic Computing-Based Real-Time EEG Epileptic Seizure Detection Using Spiking Neural Networks
  Epilepsy is a long-term neurological condition marked by recurring seizures that affect a large population across the globe. Detecting seizures in real time is particularly challenging because electroencephalogram (EEG) signals exhibit highly dynamic, non-line…
  crossref Machiraju Siva Kumar Raju Machiraju Siva Kumar Raju, G. Anjan Babu G. Anjan Babu 2026-06-07T04:35:31Z 置信度 0.70
• High-speed, ultra-low-power, and robust superconductive neuron with ReLU activation
  Abstract We propose a novel ultra-high-speed neuron device utilizing a superconductive single flux quantum (SFQ) circuit to realize an ideal rectified linear unit (ReLU) activation function. This circuit generates quantum-accurate voltage output through freque…
  crossref Yuto Ueno, Yuki Hironaka, Nobuyuki Yoshikawa, Yuki Yamanashi 2025-09-24T22:49:17Z 置信度 0.70
• Author response for "Improved ON/OFF Ratio in Interface-Type Memristors with Ion Irradiation-Induced Large Schottky Barrier for Neuromorphic Computing"
  crossref Ruowei Wang, Jie Su, Yong Liu, Minghui Xu 等 2025-12-30T21:08:40Z 置信度 0.70
• NEUROMORPHIC SYSTEMS AND THEORY
  crossref Leslie S. Smith, Alister Hamilton 2012-07-18T18:54:22Z 置信度 0.70
• MRAM based neuromorphic cell for Artificial Intelligence
  Cellule MRAM neuromorphique pour l'Intelligence Artificielle La constante évolution de la société en termes de besoin computationnel tend vers les applications d'intelligence artificiel qui étaient autrefois réservés exclusivement à l'Homme. Le développement d…
  crossref Louis Farcis 2026-04-08T14:15:33Z 置信度 0.70
• A Neuromorphic Metropolis-Hastings Sampler: Leveraging Spiking Hardware for A Vital Primitive
  crossref Brady Taylor, J. Darby Smith 2026-07-16T05:57:39Z 置信度 0.70
• A bio-inspired ferroelectric tunnel FET-based spiking neuron for high-speed energy efficient neuromorphic computing
  crossref Mudasir A. Khanday, Farooq A. Khanday 2024-02-15T17:28:35Z 置信度 0.70
• Dynamics of the judgment of tactile stimulus intensity
  Abstract In the future, artificial agents will need to make assessments of tactile stimuli in order to interact intelligently with the environment and with humans. Such assessments will depend on exquisite and robust mechanosensors, but sensors alone do not ma…
  crossref Z Yousefi Darani, I Hachen, M E Diamond 2023-03-02T22:26:25Z 置信度 0.70
• A Volatile RRAM Synapse for Neuromorphic Computing
  crossref E. Covi, Y.-H. Lin, W. Wang, T. Stecconi 等 2020-01-23T22:15:31Z 置信度 0.70
• A Capacitor-Based Synaptic Device with IGZO Access Transistors for Neuromorphic Computing
  Analog in-memory computing synaptic devices have been widely studied for efficient implementation of deep learning. As a candidate for a synaptic device, Si-CMOS and capacitor-based synaptic devices have been proposed. However, due to Si-CMOS leakage currents,…
  crossref Jongun Won, Youngchae Roh, Minseung Kang, Yeaji Park 等 2023-05-19T10:38:28Z 置信度 0.70
• Magnetite–Polyaniline Nanocomposite for Non-Volatile Memory and Neuromorphic Computing Applications
  crossref Ishika U. Shah, Snehal L. Patil, Sushilkumar A. Jadhav, Tukaram D. Dongale 等 2024-04-16T20:24:40Z 置信度 0.70
• Neuromorphic quantum computing: A survey and future directions in evolutionary and gradient-based learning strategies for quantum spiking neural networks
  crossref Yingchao Cheng, Meijia Wang, Zhifeng Hao, Rajkumar Buyya 2026-07-24T06:55:11Z 置信度 0.70
• 4SM: Selective Spiking State Space Models for Neuromorphic Sequence Learning
  crossref Avi Hazan, Shlomo Greenberg, Elishai Ezra Tsur 2026-07-16T05:57:39Z 置信度 0.70
• A Capacitor-Based Synaptic Device with IGZO Access Transistors for Neuromorphic Computing
  IGZO TFT has extremely low leakage current characteristics compared to Si-CMOS, so it can be applied not only to displays but also to various research fields. One of the important applications using IGZO TFT is analog-based synaptic device for the efficient im…
  crossref Jongun Won, Youngchae Roh, Minseung Kang, Yeaji Park 等 2023-09-19T22:55:08Z 置信度 0.70
• High Performance and Self-rectifying Hafnia-based Ferroelectric Tunnel Junction for Neuromorphic Computing and TCAM Applications
  crossref Youngin Goh, Junghyeon Hwang, Minki Kim, Minhyun Jung 等 2022-03-09T20:31:19Z 置信度 0.70
• Neuromorphic Computing in Outer Space: Intel Loihi Deployed On-Satellite for Spike-Based Software-Defined Communication - Presentation
  &lt;p dir="ltr"&gt;In space exploration and communication technology, software-defined networking architectures significantly improve the communications throughput and latency. This study developed a cognitive agent based on Q-learning with continuous learning…
  crossref Nayim Rahman, Chris Yakopcic, Tarek Taha, Ricardo Lent 等 2026-05-12T13:42:45Z 置信度 0.70
• Neuromorphic Computing in Outer Space: Intel Loihi Deployed On-Satellite for Spike-Based Software-Defined Communication - Python Code
  &lt;p dir="ltr"&gt;In space exploration and communication technology, software-defined networking architectures significantly improve the communications throughput and latency. This study developed a cognitive agent based on Q-learning with continuous learning…
  crossref Nayim Rahman, Chris Yakopcic, Tarek Taha, Ricardo Lent 等 2026-05-12T13:42:24Z 置信度 0.70
• Raman and SEM Enabled Development of Natural Organic Fructose Thin Films for Resistive Switching Memory in Neuromorphic Computing Applications
  crossref Md Shakil Mahmud Jiban, Kaleb Hood, Zoe Templin, Jun Jiao 等 2025-07-25T14:16:18Z 置信度 0.70
• Neuromorphic computing: Challenges from quantum materials to emergent connectivity
  crossref Ivan K. Schuller, Alex Frano, R. C. Dynes, Axel Hoffmann 等 2022-04-04T10:00:45Z 置信度 0.70
• Scalable Memdiodes Exhibiting Rectification and Hysteresis for Neuromorphic Computing
  Abstract Metal-Nb 2 O 5−x -metal memdiodes exhibiting rectification, hysteresis, and capacitance are demonstrated for applications in neuromorphic circuitry. These devices do not require any post-fabrication treatments such as filament creation by electroformi…
  crossref Joshua C. Shank, M. Brooks Tellekamp, Matthew J. Wahila, Sebastian Howard 等 2018-08-22T08:55:00Z 置信度 0.70
• EV Load Forecasting Method Based on Data Reconstruction of GRU-WGAN and BiLSTM Network
  crossref Xinke Lv, Ping Bi, Lei Xiong, Min Zhang 等 2025-05-19T17:52:05Z 置信度 0.70
• Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware
  crossref Angel Yanguas-Gil 2020-07-28T04:42:57Z 置信度 0.70
• FBFET (feedback field-effect transistor)-based oscillator for neuromorphic computing
  Abstract In this work, we propose a non-linear oscillating circuit using hysteresis characteristics of a feedback field-effect transistor (FBFET). By varying the device design parameters of FBFET, it turned out that we can regulate (a) the size of the oscillat…
  crossref Changhoon Lee, Changhwan Shin 2021-02-05T08:54:58Z 置信度 0.70
• Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System
  crossref Amr M. Hassan, Aya F. Khalaf, Khaled S. Sayed, Hai Helen Li 等 2018-11-16T04:03:08Z 置信度 0.70
• Resistive switching and synaptic characteristics in ZnO@β-SiC composite-based RRAM for neuromorphic computing
  The advancement of neuromorphic computing in resistive random-access memory (RRAM) is crucial for the rapid expansion of artificial intelligence. Conventional metal oxide-based RRAM faces challenges in mimicking synaptic activity, leading to the exploration of…
  crossref Bisweswar Santra, Gangadhar Das, Giuliana Aquilanti, Aloke Kanjilal 2025-01-28T15:53:36Z 置信度 0.70
• Anticipatory alignment work: The politics of anticipation in an emerging innovation ecosystem of neuromorphic computing
  crossref Mareike Smolka, Philipp Neudert, Frieder Bögner, Wenzel Mehnert 等 2025-12-19T17:01:33Z 置信度 0.70
• Acknowledgments
  crossref 2024-06-28T07:47:19Z 置信度 0.70
• FeNN-DMA: A RISC-V system-on-chip for spiking neural network acceleration
  Abstract Spiking neural networks (SNNs) are a promising, energy-efficient alternative to standard artificial neural networks (ANNs) and are particularly well-suited to spatio-temporal tasks such as keyword spotting and video classification. However, SNNs have …
  crossref Zainab Aizaz, James C Knight, Thomas Nowotny 2026-05-05T22:51:08Z 置信度 0.70
• A Pipeline-Driven FPGA Accelerator with Memory-Scheduling for Neuromorphic Computing
  crossref Zhipeng Liao, Tianyang Li, Ziyang Shen, Chaoming Fang 等 2026-02-19T20:54:40Z 置信度 0.70
• High-speed photonic neuromorphic computing using recurrent optical spectrum slicing neural networks
  Abstract Neuromorphic computing using photonic hardware is a promising route towards ultrafast processing while maintaining low power consumption. Here we present and numerically evaluate a hardware concept for realizing photonic recurrent neural networks and …
  crossref Kostas Sozos, Adonis Bogris, Peter Bienstman, George Sarantoglou 等 2022-10-26T06:05:36Z 置信度 0.70
• Perspective on photonic memristive neuromorphic computing
  Abstract Neuromorphic computing applies concepts extracted from neuroscience to develop devices shaped like neural systems and achieve brain-like capacity and efficiency. In this way, neuromorphic machines, able to learn from the surrounding environment to ded…
  crossref Elena Goi, Qiming Zhang, Xi Chen, Haitao Luan 等 2020-03-03T00:06:38Z 置信度 0.70
• Understanding the functional roles of modelling components in spiking neural networks
  Abstract Spiking neural networks (SNNs), inspired by the neural circuits of the brain, are promising in achieving high computational efficiency with biological fidelity. Nevertheless, it is quite difficult to optimize SNNs because the functional roles of their…
  openalex Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding 等 2024-08-08 置信度 0.72 Robustness (evolution)Spiking neural networkComputer scienceArtificial intelligenceNeuromorphic engineering
• Resistive Switching and Synaptic Behavior of Perovskite Lanthanum Orthoferrite Thin Film for Neuromorphic Computing
  crossref Amit Kumar Shringi, Atanu Betal, Satyajit Sahu, Michael Saliba 等 2022-10-12T19:39:17Z 置信度 0.70
• Neuromorphic Computing Using RRAM
  crossref Bakkesh V. Amoghimath, H. M. Vijay, Suhas B. Shirol 2025-10-01T00:56:35Z 置信度 0.70
• ANALYSIS OF THE ELEMENT BASE AND CIRCUIT DESIGN FOR NEUROMORPHIC COMPUTING ON MEMRISTOR CROSSBARS
  The variants of circuit solutions for analog matrix-vector calculations on crossbars with memristors – bipolar with programmable value of resistance installed in their nodes are considered
  crossref O. Telminov, E. Gornev 2022-11-23T10:16:36Z 置信度 0.70
• ReSe2-Based RRAM and Circuit-Level Model for Neuromorphic Computing
  Resistive random-access memory (RRAM) devices have drawn increasing interest for the simplicity of its structure, low power consumption and applicability to neuromorphic computing. By combining analog computing and data storage at the device level, neuromorphi…
  crossref Yifu Huang, Yuqian Gu, Xiaohan Wu, Ruijing Ge 等 2021-11-19T06:19:59Z 置信度 0.70
• FRMAdam-iTransformer KAN: A Fractional Order RMS Momentum Adam Optimized iTransformer with KAN for EEG and ECG Prediction
  crossref Xinrui Zhang, Jiejie Chen, Xuewen Zhou, Ping Jiang 2025-05-19T17:52:05Z 置信度 0.70
• Dynamic capacitive analysis and physical modeling on ZnO resistive random access memory (RRAM) for enabling neuromorphic computing
  With the increasing demand for large data storage and artificial intelligence, resistive random-access memory (RRAM) thrives as one of the applicable candidates for the next-generation nonvolatile memory, owing to its simple structure, high scalability, high s…
  crossref Yujian Huang, Sai Prakash Maddineni, Daphne Chen 2026-03-09T17:14:52Z 置信度 0.70
• Neuromorphic Computing in Outer Space: Intel Loihi Deployed On-Satellite for Spike-Based Software-Defined Communication - Python Code
  &lt;p dir="ltr"&gt;In space exploration and communication technology, software-defined networking architectures significantly improve the communications throughput and latency. This study developed a cognitive agent based on Q-learning with continuous learning…
  crossref Nayim Rahman, Chris Yakopcic, Tarek Taha, Ricardo Lent 等 2026-05-12T13:42:22Z 置信度 0.70
• Low‐Power, Electrochemically Tunable Graphene Synapses for Neuromorphic Computing
  Abstract Brain‐inspired neuromorphic computing has the potential to revolutionize the current computing paradigm with its massive parallelism and potentially low power consumption. However, the existing approaches of using digital complementary metal–oxide–sem…
  crossref Mohammad Taghi Sharbati, Yanhao Du, Jorge Torres, Nolan D. Ardolino 等 2018-07-23T04:02:42Z 置信度 0.70
• Area-Scalable Al/Cu/AlO _x /TiN CBRAM Memristors via Thermal Evaporation: Electroforming Behaviour, Charge Transport, and Neuromorphic Characterization
  crossref Anirudha Deogaonkar, Jagadish Rajpoot, Roopesh Singh 2026-08-31T19:07:23Z 置信度 0.70
• Recent progress in neuromorphic computing based on spin–orbit torque devices
  Abstract Neuromorphic computing, inspired by the structure and functionality of the biological brain, aims to simulate brain processes through the design of innovative devices, algorithms, and architectures. Neuromorphic devices constitute the foundational har…
  crossref Qi Liang, Yujie Huang, Yinlong Tan, Yuhua Tang 等 2025-10-13T22:48:19Z 置信度 0.70
• Fixed-time Stabilization of Delayed Neural Networks: A Switching Control Framework Design
  crossref Yuchun Wang, Song Zhu 2021-11-29T20:59:32Z 置信度 0.70
• A Survey of Neuromorphic Computing Based on Spiking Neural Networks
  crossref Ming ZHANG, Zonghua GU, Gang PAN 2018-08-15T18:15:30Z 置信度 0.70
• Emerging dynamic memristors for neuromorphic reservoir computing
  This work reviews the state-of-the-art physical reservoir computing systems based on dynamic memristors integrating with unique nonlinear dynamics and short-term memory behavior. The key characteristics, challenges and perspectives are also discussed.
  crossref Jie Cao, Xumeng Zhang, Hongfei Cheng, Jie Qiu 等 2021-12-01T20:40:57Z 置信度 0.70
• Beyond CMOS: Neuromorphic and Quantum Inspired VLSI for the Next Era of Intelligent Computing
  crossref Akram Ahamed S, Trisha A S, Vaishnavi S, Neveythithaa S 等 2026-03-25T19:54:09Z 置信度 0.70
• Enhancing Neuromorphic Computing: A High-Speed, Low-Power Integrate-and-Fire Neuron Circuit Utilizing Nanoscale Side-Contacted Field Effect Diode Technology
  crossref SeyedMohamadJavad Motaman, Sarah Safura Sharifi, Yaser Michael Banad 2024-09-16T17:34:29Z 置信度 0.70
• An NLP Approach to Enrich Biomedical Research Through Sentiment Analysis of Patient Feedback
  This chapter consults the trajectory committed by utilizing patient feedback (PF) in the wake of biomedical research through sentimental analysis (SA) in natural language processing (NLP). PF has been compared to a gold mine for the healthcare industry as it d…
  crossref Soumitra Saha, Umesh Kumar Lilhore, Sarita Simaiya 2024-11-29T15:16:27Z 置信度 0.70
• Chaotic Oscillation Systems with Disturbance Based on DNA Strand Displacement and Its Active Control
  crossref Ce Sun, Chuangchuang Li, Junwei Sun, Yanfeng Wang 等 2024-03-19T18:09:52Z 置信度 0.70
• Electrolyte-gated transistors with good retention for neuromorphic computing
  Electrolyte-gated transistors (EGTs) provide prominent analog switching performance for neuromorphic computing. However, suffering from self-discharging nature, the retention performance greatly hampers their practical applications. In this Letter, we realize …
  crossref Yue Li, Han Xu, Jikai Lu, Zuheng Wu 等 2022-01-11T10:38:12Z 置信度 0.70
• Correction to: Memristive Devices Based on Two-Dimensional Transition Metal Chalcogenides for Neuromorphic Computing
  crossref Ki Chang Kwon, Ji Hyun Baek, Kootak Hong, Soo Young Kim 等 2022-03-05T18:02:44Z 置信度 0.70
• A Parallel Neuromorphic Text Recognition System and Its Implementation on a Heterogeneous High-Performance Computing Cluster
  crossref Qinru Qiu, Qing Wu, Morgan Bishop, Robinson E. Pino 等 2012-02-27T21:47:12Z 置信度 0.70
• Tuning Synaptic Plasticity in WO₃ Ion-Gated Transistors with Aqueous Electrolytes for Neuromorphic Computing
  Ion-Gated Transistors (IGTs) are a promising technology for neuromorphic computing, offering processing rates and energy efficiency. These devices support low-power training and operation of neural network algorithms while integrating both long-term and short-…
  crossref Kesawarthini Bhaskaran, Ramin Karimi Azari, Melchiade Manirakiza, Clara Santato 等 2025-07-21T08:01:14Z 置信度 0.70
• Enhanced electrical and magnetic properties of (Co, Yb) co-doped ZnO memristor for neuromorphic computing
  Functional comparison between a biological synapse and a memristor.
  crossref Noureddine Elboughdiri, Shahid Iqbal, Sherzod Abdullaev, Mohammed Aljohani 等 2023-12-11T07:22:28Z 置信度 0.70
• Neural Network-based Recognition and Virtual Simulation Algorithms, Interactive 3D Geo-Visualization and Neuromorphic Computing Systems, and Tactile Sensing and Cognitive Modeling Technologies in Web3-powered Metaverse Worlds
  crossref 2023-09-16T06:51:57Z 置信度 0.70
• Principles of Neuromorphic Photonics
  crossref Bhavin J. Shastri, Alexander N. Tait, Thomas Ferreira de Lima, Mitchell A. Nahmias 等 2018-08-25T13:23:51Z 置信度 0.70
• Efficient spatio-temporal feature clustering for large event-based datasets
  Abstract Event-based cameras encode changes in a visual scene with high temporal precision and low power consumption, generating millions of events per second in the process. Current event-based processing algorithms do not scale well in terms of runtime and c…
  crossref Omar Oubari, Georgios Exarchakis, Gregor Lenz, Ryad Benosman 等 2022-10-03T22:17:50Z 置信度 0.70
• (Invited) There’s More to a Probabilistic Neuromorphic Computing System Than Noisy Devices
  A range of computing problems require understanding uncertainty, such as climate modeling, or use statistics to model problems that are otherwise difficult to solve, such as high energy particle collisions. Currently, these computations are handled by hardware…
  crossref Shashank Misra, Christopher R. Allemang, J. Darby Smith, Suma G. Cardwell 等 2024-08-19T15:54:21Z 置信度 0.70
• Voltage-Gated Domain Wall Magnetic Tunnel Junction for Neuromorphic Computing Applications
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