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• Behavioral Time Scale Synaptic Plasticity (BTSP) endows binding of distributed representations with flexible retrieval options
  Human reasoning depends on reusing pieces of information by binding them together in new ways, thereby “making infinite uses of finite means” (Alexander von Humboldt). Needed for that is a binding mechanism that enables fast composition and decomposition of to…
  preprints 2025 置信度 0.74
• Ultrafast Switching and High-Endurance Nonvolatile Memory Using Ferroelectric Janus Monolayers
  preprints 2025 置信度 0.74
• Temporal Hierarchy in Spiking Neural Networks
  Abstract Taking inspiration from the brain to perform efficient computation is a fascinating challenge, often hampered by the complexity of the brain itself. This work investigates a key feature observed across the cortices of various mammals: the hierarchy of…
  preprints Filippo Moro, Pau Vilimelis Aceituno, Laura Kriener, Melika Payvand 2025 置信度 0.74
• Laser-induced nucleation of magnetic hopfions
  preprints 2025 置信度 0.74
• Molecular control of Spin Hall and Unidirectional Magnetoresistance in YIG/PtMn
  preprints 2025 置信度 0.74
• Assembly-based computations through contextual dendritic gating of plasticity
  preprints 2025 置信度 0.74
• Neurons have an inherent capability to learn order relations: A theoretical foundation that explains numerous experimental data
  Brains are able to extract diverse relations between objects or concepts, and to integrate relational information into cognitive maps that form a basis for decision making. But is has remained a mystery how relational information is learnt and represented by n…
  preprints 2025 置信度 0.74
• Analysis of resistive switching properties in TiO2-based RRAM device for neuromorphic computing applications
  crossref Usman Isyaku Bature, Haider Abbas, Ali Alzahrani, Arshid Nisar 等 2025-09-23T07:33:08Z 置信度 0.70
• Inversion-sensing SiO2-based MOS capacitive synapse for neuromorphic computing
  In this work, an inversion-sensing SiO2-based capacitive synapse device was introduced by using the lateral coupling effect in a concentric metal–oxide–semiconductor structure. The device achieved a CHCS/CLCS ratio of 24 with a low programming voltage of VPGM …
  crossref Chi-Yi Kao, Jenn-Gwo Hwu 2025-05-28T12:43:52Z 置信度 0.70
• Sputtered HfYOx buffer layer with reduced nonlinearity for neuromorphic computing applications
  crossref Kuan-Lin Yeh, Po-An Shih, Wei-Chueh Cheng, Kai-Ling Hsu 等 2025-08-09T12:50:32Z 置信度 0.70
• Observer-Based Dynamic Event-Triggered Tracking Control for Nonlinear MASs with Unknown Time-Varying Sensor Sensitivity
  crossref Hongxuan Song, Guangliang Liu, Yingnan Pan, Wen Yang 2026-06-14T18:18:30Z 置信度 0.70
• Modulating Alkyl Groups in Copolymer to Control Ion Transport in Electrolyte‐Gated Organic Transistors for Neuromorphic Computing
  crossref Junho Sung, Minji Kim, Sein Chung, Yongchan Jang 等 2025-01-10T17:53:22Z 置信度 0.70
• BKD-BSNN: Blurred Knowledge Distillation-Enhanced Binarized Spiking Neural Network for Efficient Neuromorphic Vision
  crossref Jianming Zhu, Ping He, Zhiyuan Hu, Rong Xiao 2026-01-27T04:49:35Z 置信度 0.70
• Neuromorphic computing through photonic integrated circuits
  crossref George Mourgias-Alexandris, Angelina Totovic, Nikolaos Passalis, George Dabos 等 2020-02-26T20:46:36Z 置信度 0.70
• Call for Papers: Materials, processing and integration for neuromorphic devices and in-memory computing
  crossref 2022-11-03T22:11:24Z 置信度 0.70
• Time Series of Landslide Displacement Prediction based on VMD-LSTM
  crossref Mengfei Xu, Jiejie Chen, Honggang Yang 2021-11-29T20:59:32Z 置信度 0.70
• Synaptic Devices Based on 3-D AND Flash Memory Architecture for Neuromorphic Computing
  crossref Yoohyun Noh, Yungtak Seo, Byunggook Park, Jong-Ho Lee 2019-06-21T02:37:16Z 置信度 0.70
• Neuromorphic devices in action
  crossref 2025-11-11T13:02:32Z 置信度 0.70
• Saturated Impulsive Distributed Filtering for Target Estimation Over Sensor Networks
  crossref Yuan Tian, Zhenyu Ao, Qi Han, Qiao Yuan 等 2025-05-19T17:52:05Z 置信度 0.70
• Inverted C-Pocket TFET Based LIF Neuron for Energy-Efficient Neuromorphic Computing with Adaptive Threshold Logic and Image Classification
  n this work, we propose a novel Leaky Integrate and Fire (LIF) neuron based on an adjustable band-to-band tunneling mechanism, which significantly improves integration density and energy consumption. Neural activity has been simulated using the forward transfe…
  crossref Mohd Faizan, Ehraz Ashraf, ABDULLAH Alshahrani, Neelofer Afzal 等 2026-03-12T17:40:35Z 置信度 0.70
• Brain-like avalanche behavior in filamentary networks of memristive Ag-hBN system
  crossref Ankit Rao, Sooraj Sanjay, Srinivasan Raghavan, Pavan Nukala 2022-03-30T08:35:25Z 置信度 0.70
• (Invited) Engineering the Switching Kinetics of Valence Change-Based Memristive Devices for Neuromorphic Computing
  Memristive devices based on the valence mechanism are highly interesting candidates for the use as hardware representation of synapses in neuromorphic computing. The memristive model system SrTiO 3 exhibit gradual switching and can be tuned between short-term …
  crossref Alexandros Sarantopoulos, Regina Dittmann 2024-08-19T15:53:55Z 置信度 0.70
• Enabling Ferroelectric Memories in BEoL - towards advanced neuromorphic computing architectures
  crossref David Lehninger, Maximilian Lederer, Tarek Ali, Thomas Kampfe 等 2021-09-20T21:22:55Z 置信度 0.70
• Collision-free Cluster Formation Control of Autonomous Surface Vehicle Based on Artificial Potential Function
  crossref Huijuan Li, Nan Gu, Zhouhua Peng, Lu Liu 等 2026-06-14T18:17:12Z 置信度 0.70
• Neural Network Structure-Based Adaptive SMC for Pneumatic Artificial Muscle Systems with State Constraints and Input Dead Zones
  crossref Jiaxi Pei, Ming Li, Menghua Zhang 2026-06-14T18:20:13Z 置信度 0.70
• Battery-Free Neuromorphic Computing Based on PMMA/SiO₂ Nanoparticle Memristor and Near-Field Communication
  crossref Lin Liu, Jingyu Wang, Yong Yan 2025-03-17T19:02:06Z 置信度 0.70
• Coupling Light into Memristors: Advances in Halide Perovskite Resistive Switching and Neuromorphic Computing
  Abstract Resistive switching memristor is an emerging nonvolatile memory technology designed to overcome the physical limitations of conventional systems and the performance bottleneck of the von Neumann architecture. Notably, halide perovskite (HP)‐based memr…
  europepmc Zijian Feng, Jintao Wang, Fandi Chen, Beining Dong 等 2025 置信度 0.80
• Bio-inspired artificial synapses: Neuromorphic computing chip engineering with soft biomaterials
  crossref Tanvir Ahmed 2023-10-18T04:14:06Z 置信度 0.70
• Neuromorphic Computing and Applications: A Topical Review
  ABSTRACT Neuromorphic computers achieve energy efficiency by emulating brain structure and event‐driven processing that reduces energy consumption significantly. An increasing interest in this technology started in the initial years of this millennium, sparked…
  crossref Pavan Kumar Enuganti, Basabdatta Sen Bhattacharya, Teresa Serrano Gotarredona, Oliver Rhodes 2025-04-29T05:40:43Z 置信度 0.70
• 2D neuromorphic photonics
  crossref Wen Zhou, James Tan, Johannes Feldmann, Harish Bhaskaran 2024-01-02T21:15:00Z 置信度 0.70
• On-chip phonon-magnon reservoir for neuromorphic computing
  Abstract Reservoir computing is a concept in which signals to process are mapped onto a high-dimensional phase space of a fixed dynamical system called “reservoir” for subsequent recognition by an artificial neural network. Implementations of reservoirs are po…
  preprints Alexey Scherbakov, Dmytro Yaremkevich, Luke De Clerk, Serhii Kukhtaruk 等 2023 置信度 0.74
• Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency
  crossref Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston 等 2021-04-14T01:42:20Z 置信度 0.70
• Homeostatically-regulated liquid state machines for robust and efficient arrhythmia classification: A neuromorphic approach
  crossref Xiang Guo, Shule Xu, Jun Jiao, Xinxiang Zhao 等 2026-03-11T23:54:28Z 置信度 0.70
• Bridging neuromorphic computing and deep learning for next-generation neural data interpretation
  The rapid advancement of electrophysiological techniques, brain imaging, and brain-machine interfaces (BMIs) has ushered neuroscience into an era of data explosion. Confronted with neural data that are high-dimensional, highly nonlinear, and exhibit complex te…
  europepmc Manyun Zhang, Tianlei Wang, Zhiyuan Zhu 2025 置信度 0.80
• Spatio-Temporal Confinement in Two-Dimensional Channels for Neuromorphic Computing
  Graphene oxide (GO), with its unique two-dimensional structure, adjustable functional groups, and tunable nanofluidic channels, has emerged as a promising platform for bio-inspired neuromorphic computing. This perspective explores the structural and functional…
  crossref Hongwei Zhu, Honglin Wang 2026-01-16T02:54:46Z 置信度 0.70
• OSA-Net: A Deep Learning Approach for Obstructive Sleep Apnea Classification Using ECG Scalograms
  crossref Xielan Tang, Yamei Li, Qingqing Yang, Lu Luo 2025-05-19T17:52:05Z 置信度 0.70
• Neuromorphic Computing: Forging a Link between Artificial Intelligence and Neurological Models
  By emulating the design and operation of the human brain, neuromorphic computing promises to close the gap between artificial intelligence and brain-inspired technologies. Researchers create specialized hardware and software to mimic the brain's processing spe…
  crossref Madhvan Bajaj, Priyanshu Rawat, Vikrant Sharma, Satvik Vats 2024-10-23T03:51:36Z 置信度 0.70
• A Novel Low-Power Memristor for Neuromorphic Computing Using Carbon Conductive Filament
  crossref Tianqi Yu, Yong Fang, Xinyue Chen, Min Liu 等 2023-03-22T20:05:13Z 置信度 0.70
• Learning in Neuromorphic Systems
  crossref 2014-12-27T02:59:29Z 置信度 0.70
• Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning
  crossref Lei Deng, Huajin Tang, Kaushik Roy 2021-03-17T05:04:00Z 置信度 0.70
• Virtual Neuron: A Neuromorphic Approach for Encoding Numbers
  crossref Prasanna Date, Shruti Kulkarni, Aaron Young, Catherine Schuman 等 2023-03-17T17:18:24Z 置信度 0.70
• Meta-PolyArc:A Face Recognition Algorithm for Truck Drivers at Unmanned Gates Aiming at Few-shot Problem
  crossref Runxing Cao, Qing Liu, Liwei Peng 2024-03-19T18:09:52Z 置信度 0.70
• Privacy Preserving Discretized Spiking Neural Network with TFHE
  crossref Pengbo Li, Ting Gao, Huifang Huang, Jiani Cheng 等 2024-03-19T18:09:52Z 置信度 0.70
• Realization of Tunable Plasticity in Porous Synaptic Memristors for Neuromorphic Computing
  Abstract Brain-inspired neuromorphic computing is a promising way to implement artificial intelligence to overcome the issues of independent information processing and storage. An artificial synaptic device with tunable plasticity can perform learning and memo…
  preprints Anping Huang, Qin Gao, Jiangshun Huang, Yuhang Ji 等 2022 置信度 0.74
• Neuromorphic Computing: Advancing Energy-Efficient AI Systems through Brain-Inspired Architectures
  Neuromorphic computing represents a transformative approach to artificial intelligence, leveraging brain-inspired architectures to enhance energy efficiency and computational performance. This paper explores the principles and innovations underlying neuromorph…
  crossref Rajesh Kumar Malviya, Ramanakar Reddy Danda, Kiran Kumar Maguluri, Battapothu Vinod Kumar 2024-12-05T02:21:21Z 置信度 0.70
• ELECTRONICS and NEUROMORPHIC TECHNOLOGY ENHANCEMENT THROUGH IONIC NANOARICHITECTONICS
  crossref Kazuya Terabe, Daiki Nishioka, Wataru Namiki, Tohru Tsuruoka 等 2025-07-23T11:35:32Z 置信度 0.70
• Neuromorphic Building Blocks with Memristors
  crossref Idongesit Ebong, Pinaki Mazumder 2022-10-21T19:26:45Z 置信度 0.70
• Scaling neural simulations in STACS
  Abstract As modern neuroscience tools acquire more details about the brain, the need to move towards biological-scale neural simulations continues to grow. However, effective simulations at scale remain a challenge. Beyond just the tooling required to enable p…
  crossref Felix Wang, Shruti Kulkarni, Bradley Theilman, Fredrick Rothganger 等 2024-04-08T22:27:35Z 置信度 0.70
• Large-scale neuromorphic systems enabled by integrated photonics
  crossref Qiming Zhang, Weihong Shen 2024-01-02T21:15:11Z 置信度 0.70
• Correlation between linear conductance variability and accuracy in neuromorphic computing using AuNP-DNA/HfO2 bilayer memristor devices
  crossref Myoungsu Chae, Doowon Lee, Hyunbin Lee, Yuseong Jang 等 2025-02-06T19:39:59Z 置信度 0.70
• Neural-Based Adaptive Event-Triggered Tracking Control for Series Elastic Actuator with Input Dead Zones
  crossref Lingzhe Zhu, Jing Zhao, Naiqi Wu, Yibin Li 等 2026-06-14T18:17:48Z 置信度 0.70
• Superconducting optoelectronic platform for neuromorphic computing
  crossref S. M. Buckley, A. N. McCaughan, J. Chiles, R. P. Mirin 等 2017-05-08T12:15:09Z 置信度 0.70
• A $\Delta \mathrm{T}$-Triggered Spiking Temperature Sensor for Neuromorphic and Edge Applications
  crossref Moustafa Nawito 2026-01-12T18:21:00Z 置信度 0.70
• Programmable and Configurable Analog Neuromorphic ICs
  crossref 2014-12-27T02:59:29Z 置信度 0.70
• Spintronics-Based Neuromorphic and Ising Computing
  crossref Debanjan Bhowmik, Ram Singh Yadav, Neha Garg, Amod Holla 等 2024-05-07T17:23:10Z 置信度 0.70
• Aging Aware Retraining with a Sparse Update for Neuromorphic Computing
  crossref Aswani Radhakrishnan, Alex James 2024-02-01T13:26:36Z 置信度 0.70
• Benchmarking Conventional Vision Models on Neuromorphic Fall Detection and Action Recognition Dataset
  crossref Karthik Sivarama Krishnan, Koushik Sivarama Krishnan 2022-03-04T15:27:19Z 置信度 0.70
• Spike-Based Neuromorphic Computing for Next-Generation Computer Vision
  crossref Md Sakib Hasan, Catherine D. Schuman, Zhongyang Zhang, Tauhidur Rahman 等 2024-05-29T19:28:44Z 置信度 0.70
• A neuromorphic mechanosensory skin
  crossref Qianbo Yu, Jiaqi Liu, Wentao Xu 2025-04-28T09:03:33Z 置信度 0.70
• Magnetic Soliton MTJ Devices for Neuromorphic Computing Applications
  crossref Aijaz H. Lone, Daniel N. Rahimi, Hossein Fariborzi, Gianluca Setti 2024-05-07T17:23:10Z 置信度 0.70
• Low‐Voltage Flexible Copper Iodide Synaptic Transistors for Neuromorphic Computing
  A flexible copper iodide (CuI) thin‐film transistor integrated with a chitosan gate dielectric is demonstrated in this article, which is fabricated on a polyethylene terephthalate (PET) substrate via a low‐temperature solution process. The device operation is …
  crossref Xiaodong Xu, Wei Dou, Pengfei Chen, Jiangyun Lei 等 2025-10-09T03:54:05Z 置信度 0.70
• Real-Time Neuromorphic Processing of Spatiotemporal Data for Scientific Discovery
  crossref Peng Li 2024-04-04T22:16:40Z 置信度 0.70
• P3OT-Based Organic Polymer Memristors for Artificial Synaptic Behavior and Neuromorphic Computing Applications
  crossref Hongguang Zhang, Linkai Li, Aiqian Guo, Jianda Li 等 2025-02-26T15:36:01Z 置信度 0.70
• Organic Thin‐Film Transistors for Neuromorphic Computing
  ABSTRACT Organic Thin‐Film Transistors (OTFTs), including Organic Field‐Effect Transistors (OFETs) and Organic Electro‐Chemical Transistors (OECTs), offer clear advantages over traditional silicon‐based devices, particularly in power efficiency and biocompatib…
  crossref Luke McCarthy, Mohan V. Jacob, Mostafa Rahimi Azghadi 2026-02-18T16:06:06Z 置信度 0.70
• Memristive Organic Bismuth Iodides for Neuromorphic Computing with High Performance
  We report here synthesis of memristive organic bismuth iodide and its application to neuromorphic computing. A x Bi y I x+3y (A = organic monovalent cation) thin films are prepared by spin coating, where structural dimensionality and electrical properties are …
  crossref June-Mo Yang, So-Yeon Kim, Nam-Gyu Park 2020-12-22T18:59:08Z 置信度 0.70
• 3DNesT: A Hierarchical Local Self-Attention Model for Alzheimer’s Disease Diagnosis
  crossref Xiaopeng Kang, Yong Liu 2024-03-19T18:09:52Z 置信度 0.70
• Magnetic tunnel junctions for neuromorphic computing: from device physics to network architectures
  crossref Liyuan Yang, Mengchun Pan, Peisen Li, Miaosen Liu 等 2026-06-12T11:38:34Z 置信度 0.70
• Triboelectric-memristive coupling for self-powered neuromorphic computing: mechanisms, devices, and systems
  Coupling triboelectric nanogenerators (TENGs) with memristors offers a direct route to integrating energy harvesting and adaptive learning within a single physical substrate, thereby enabling self-powered neuromorphic systems driven by ubiquitous mechanical st…
  crossref Haiyang Qin, Qinrao Li, Dongzhu Lu, Jianxin Lin 等 2026-04-21T05:46:47Z 置信度 0.70
• Neuromorphic Cryptography: Brain-Inspired Secure Encoding for Embedded Systems
  crossref Nida Nasir, Hussam Al Hamadi 2025-12-19T18:56:15Z 置信度 0.70
• Quantum-Inspired or Neuromorphic Discrete-Event Computing Paradigms for Future Ubiquitous Systems
  Foundations of quantum-inspired discrete-event architectures constitute an emerging and transformative paradigm in the modelling, simulation, and design of complex, dynamic, and stochastic systems, particularly in the context of large-scale distributed network…
  crossref Shrishail Math, H. D. Madhuri, Vijaykumar Yadhav, Mallanagouda Patil 等 2026-06-05T16:35:20Z 置信度 0.70
• Special section on nonlinear dynamical aspects of edge computing and neuromorphic hardware
  crossref Hideyuki Suzuki, Shigeo Sato 2021-09-30T22:39:03Z 置信度 0.70
• Two-Dimensional Material-Based Bio-Inspired Neuromorphic Computing
  crossref Heemyoung Hong, Chang Yun Heo, Heejun Yang 2026-07-13T06:32:28Z 置信度 0.70
• Controlling Long-Term Plasticity in Neuromorphic Computing Through Modulation of Ferroelectric Polarization
  crossref Donghwa Lee, Junho Sung, Minhui Kim, Na-Hyun Kim 等 2024-06-11T01:21:11Z 置信度 0.70
• Memristors for the Post-Von Neumann Era: Hardware Paradigms, Neuromorphic Perception, and Computing Systems
  Memristors, as transformative electronic devices designed to transcend the von Neumann architecture, enable the physical unification of information storage and computation, thereby offering a foundational hardware pathway toward energy-efficient, brain-inspire…
  crossref Kerui Fu, Tianling Qin 2026-04-28T13:26:41Z 置信度 0.70
• Advancing Artificial Intelligence: The Potential of Brain-Inspired Architectures and Neuromorphic Computing for Adaptive, Efficient Systems
  Brain-inspired AI architecture, also known as neuromorphic computing, seeks to emulate the structure and functionality of the human brain to create more efficient, adaptive, and intelligent systems. Unlike traditional AI models that rely on conventional comput…
  crossref Alp Dulundu 2024-10-29T12:11:46Z 置信度 0.70
• The need for neuromorphic computing in industrial robotics
  crossref Tapanta Bhanja, Jonathan Nußbaum, Khalil Abuibaid, Tatjana Legler 等 2024-03-25T19:06:22Z 置信度 0.70
• The Neuromorphic Conductor: A Speculative Framework for Brain-Chip Interfaces to Restore Bodily Function
  This report is a deep dive into the complex world of using neuromorphic chips to help people with severe brain damage regain control of their bodies. We’ll look at the fundamental science behind neuromorphic computing, explore the current landscape of brain-co…
  europepmc Anand Rawat, Anamika Yadav 2025 置信度 0.80
• Towards Large‐Scale Neuromorphic Systems
  crossref 2014-12-27T02:59:29Z 置信度 0.70
• 2024 International Conference on Neuromorphic Systems ICONS 2024
  crossref 2024-12-02T18:37:03Z 置信度 0.70
• Author response for "Maximizing information in neuron populations for neuromorphic spike encoding"
  crossref Ahmad El Ferdaoussi, Éric Plourde, Jean Rouat 2025-01-11T16:33:42Z 置信度 0.70
• Extremely high bandwidth optical neuromorphic processing, microwave photonics and data transmission with Kerr microcombs
  We report ultrahigh bandwidth applications of Kerr microcombs to optical neural networks and to optical data transmission, at data rates from 44 Terabits/s (Tb/s) to approaching 100 Tb/s. Convolutional neural networks (CNNs) are a powerful category of artifici…
  crossref David Moss 2025-01-21T19:32:22Z 置信度 0.70
• Neuromorphic Elements as a First Step Towards Sociomorphic Systems
  crossref Victor Erokhin, Irina S. Karabulatova 2025-08-08T01:28:34Z 置信度 0.70
• Photonics for Neuromorphic Computing
  crossref Paul R. Prucnal, Alexander N. Tait, Mitchell A. Nahmias, Thomas Ferreira De Lima 等 2018-12-03T19:58:27Z 置信度 0.70
• An Efficient Data Structure for Sparse Bit-Vectors with Applications in Neuromorphic Computing
  crossref Prafull Purohit, Johannes Leugering, Rajit Manohar 2023-09-06T17:24:13Z 置信度 0.70
• Trigonometric Expansion based Random Fourier Feature Algorithm for Nonlinear Adaptive Filtering
  crossref Qiangqiang Zhang, Shunran Xiang, Wei Zhang, Shiyuan Wang 等 2025-05-19T17:52:05Z 置信度 0.70
• Defect‐Controlled Ti‐Doped Perovskite Memristors for High Accuracy Neuromorphic Computing
  ABSTRACT Neuromorphic computing requires electronic devices capable of stable analogue switching, low energy operation, and reliable synaptic behaviour. In this study, Zinc zirconate (ZZO) and Ti‐doped ZnZrO 3 (TZZO) perovskite thin films were developed to rea…
  crossref Narender Malishetty, Vaishali Chandmare, Narendar Vadthiya, Hitesh Borkar 2026-07-10T04:41:16Z 置信度 0.70
• Event-triggered Pinning Synchronization of Multi-weighted Coupled Neural Networks without and with Time Delays
  crossref Xin Xiao, Yanli Huang, Jinliang Wang, Yihao Wang 2021-11-29T15:59:32Z 置信度 0.70
• Design of Spiking Neural Networks (SNN) with Domain-Wall Devices
  crossref Debanjan Bhowmik 2024-07-15T14:02:06Z 置信度 0.70
• Statistical Study on Data Dependency of Memristor Crossbar Architectures for Neuromorphic Computing
  crossref Minh Le, Son Ngoc Truong 2023-12-25T19:40:28Z 置信度 0.70
• IGZO Photonic-Synaptic Transistors with Outstanding Linearity by Controlling Oxygen Vacancy for Neuromorphic Computing
  crossref Taewon Seo, Juyoung Yun, Yoonyoung Chung 2023-04-26T17:55:20Z 置信度 0.70
• Embracing Stochasticity to Enable Neuromorphic Computing at the Edge
  crossref Amogh Agrawal, Deboleena Roy, Utkarsh Saxena, Kaushik Roy 2021-02-09T05:08:43Z 置信度 0.70
• Preassigned-Time Stabilization of Memristive Chaotic Circuit via Switching Control
  crossref Qiming Wang, Leimin Wang, Wenzhao Qin 2025-05-19T17:52:05Z 置信度 0.70
• A Programmable Time Event Coded Circuit Block for Reconfigurable Neuromorphic Computing
  crossref Thomas Jacob Koickal, Luiz C. P. Gouveia, Alister Hamilton 2007-09-20T13:34:35Z 置信度 0.70
• Binary-Weighted Synaptic Circuit for Neuromorphic Learning System Using Stochastic Memristor SPICE Model
  crossref M. Nigus, Rashmi Priyadarshini, R.M. Mehra 2020-01-30T23:42:47Z 置信度 0.70
• Voltage-tunable plasmonic metamaterial networks for neuromorphic optical computing at telecommunication wavelengths
  crossref Arash Vaghef-Koodehi, Mahmoud Nikoufard, Zeynab Gholizadeh 2026-06-20T04:56:35Z 置信度 0.70
• Eventprop training for efficient neuromorphic applications
  crossref Thomas Shoesmith, James C. Knight, Balazs Meszaros, Jonathan Timcheck 等 2025-07-08T13:36:20Z 置信度 0.70
• Emerging Quantum Materials for Neuromorphic Computing: From Fundamental Physics to Device Architectures
  The explosive growth of artificial intelligence (AI), edge computing, and brain-inspired algorithms has spurred the development of neuromorphic systems that mimic biological information processing. Achieving such functionality at the hardware level requires ma…
  crossref Abdullah Marzouq Alharbi 2026-08-27T10:24:13Z 置信度 0.70
• Energy-Efficient System-on-Chip Architecture for AIoT Applications Using Mixed-Signal Neuromorphic Accelerators
  crossref Jainish Roy, Madhu Sahu 2026-08-31T19:14:43Z 置信度 0.70
• TEMPO: a stochastic benchmarking protocol for evaluating temporal robustness in spiking neural networks
  Abstract Spiking neural networks are set apart from conventional architectures by their leaky-integrator dynamics and temporal memory, yet the benchmarks most often used to evaluate them do not exercise these properties. In datasets such as N-MNIST and DVS-Ges…
  crossref Lucas S Hindman, Kurtis D Cantley 2026-07-01T22:50:41Z 置信度 0.70
• Reducing reservoir computer hyperparameter dependence by external timescale tailoring
  Abstract Task specific hyperparameter tuning in reservoir computing is an open issue, and is of particular relevance for hardware implemented reservoirs. We investigate the influence of directly including externally controllable task specific timescales on the…
  crossref Lina Jaurigue, Kathy Lüdge 2024-01-10T17:42:28Z 置信度 0.70