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• Low Power Consumption CsPb_0.5Sn_0.5Br₃ Quantum Dot-Based Photoelectric Synaptic Transistors for Neuromorphic Computing
  crossref Jiangdong Zhang, Jia Liu, Haichuan Geng, Wenwen Wang 等 2025-06-19T13:24:53Z 置信度 0.70
• Neuromorphic face analysis: A survey
  crossref Federico Becattini, Lorenzo Berlincioni, Luca Cultrera, Alberto Del Bimbo 2024-11-19T12:02:44Z 置信度 0.70
• Evaluation of Ferroelectric Devices for Neuromorphic Applications
  crossref Julia Steed, Sebastien J. Boussard, Andreu L. Glasmann, Sina Najmaei 等 2025-03-28T03:23:48Z 置信度 0.70
• Distributed Robust State Estimation of Uncertain Complex Networked Systems
  crossref Yufan Zhao, Yuezu Lv, Hao Yu 2024-03-19T18:09:52Z 置信度 0.70
• (Invited) ALD Based Flexible Memristive Synapses for Neuromorphic Computing Application
  crossref Lin Chen, Tian-Yu Wang, Shi-Jin Ding, David Wei Zhang 2021-11-11T08:38:30Z 置信度 0.70
• Trigger-Based Systems as a Promising Foundation for the Development of Computing Architectures Based on Neuromorphic Materials
  It is demonstrated that neuromorphic materials designed for computational tasks can be effectively implemented by drawing an analogy with trigger-based systems built upon classical binary elements. Among the most promising approaches in this context are system…
  crossref Dina Shaltykova, Kaisarali Kadyrzhan, Jelena Caiko, Yelizaveta Vitulyova 等 2025-08-04T13:11:11Z 置信度 0.70
• GNEP based dynamic segmentation and motion estimation for neuromorphic imaging
  crossref Harbir Antil, David Sayre 2024-05-21T09:19:27Z 置信度 0.70
• Interface engineering modulation of ferroelectric synapses for high-precision neuromorphic computing
  Nb:SrTiO3 (NSTO) are commonly employed as substrate and electrode for BaTiO3-based ferroelectric memristors. These substrates are available in two types. The first one is with the hybrid-terminated interface, which consists of alternating SrO and TiO2 planes, …
  crossref Hao Liu, Yan Wang, Wenshuo Wu, Minghao Zhang 等 2025-04-28T13:15:19Z 置信度 0.70
• Temperature-driven co-optimization of IGZO/HZO ferroelectric field-effect transistors for optoelectronic neuromorphic computing
  crossref Deokjoon Eom, Hyunhee Kim, Woohui Lee, Changyu Park 等 2025-03-05T16:34:09Z 置信度 0.70
• High sensitivity artificial synapses using printed high-transmittance ITO fibers for neuromorphic computing
  crossref Shangda Qu, Yiming Yuan, Xu Ye, Wentao Xu 2024-05-20T15:34:02Z 置信度 0.70
• Self‐Rectifying Second Order Memristive Behavior in WO ₃ Films for Neuromorphic Computing Applications
  ABSTRACT Brain‐inspired neuromorphic computing paves an alternative to the Von Neumann bottleneck on implementing highly efficient and parallel processing hardware. However, in a crossbar array architecture, crosstalk occurs between devices. To address this is…
  crossref Agesthian Suresh Kanthaswamy, Atul Thakre 2026-06-08T08:56:33Z 置信度 0.70
• Introduction to neuromorphic circuits
  crossref Alice C Parker, Rick Cattell 2023-11-09T12:29:33Z 置信度 0.70
• SpinONN: energy efficient brain-inspired spintronics-based Hopfield oscillatory neural network for image denoising
  Abstract This work proposes a Spintronics-based Hopfield oscillatory neural network (HONN) that leverages dynamic frequency-encoded electrical synchronization between two spin-torque vortex nano-oscillators (SVNOs) as oscillatory neurons, with a non-volatile m…
  crossref Sandeep Soni, Yasser Rezaeiyan, Tim Boehnert, Hooman Farkhani 等 2025-06-19T22:51:42Z 置信度 0.70
• Photonic lanterns: a novel fiber component for neuromorphic computing
  crossref Siddharth Sivankutty, Nolan Desnos, Stefano Negrini, Géraud Bouwmans 等 2026-05-27T18:24:27Z 置信度 0.70
• Fixed-time Formation Control for Second-order Multi-agent Systems with Disturbances
  crossref Huifen Hong, He Wang, Guanghui Wen 2021-11-29T20:59:32Z 置信度 0.70
• High Sensitivity Optoelectronic Artificial Synapse Based on GaN Porous Nanocone Array for Neuromorphic Computing
  Abstract Neuromorphic computing architecture, inspired by biological systems, is one of the key solutions to overcoming the von Neumann bottleneck. In particular, as a core component of artificial visual perception systems, optoelectronic synapses with high se…
  crossref Jiawei Chen, Yuqing Huang, Hui Wen, Yujing Wang 等 2025-06-19T01:05:47Z 置信度 0.70
• Enhancement of spin–orbit torque in sputtered BiSb-based perpendicular magnetic tunnel junctions for neuromorphic computing applications
  Topological insulators offer unique properties for generating high spin–orbit torque (SOT), promising to revolutionize magnetoresistive random-access memory with a low power consumption. In this work, BiSb is integrated into perpendicular magnetic tunnel junct…
  crossref S. Wu, G. J. Lim, F. N. Tan, T. L. Jin 等 2025-10-01T14:26:46Z 置信度 0.70
• Cryogenic Neuromorphic Synaptic Behavior in 180 nm Silicon Transistors for Emerging Computing Systems
  With the advancement of artificial intelligence (AI), there is an increasing demand for high‐speed, energy‐efficient hardware capable of running complex machine learning algorithms. Traditional hardware is constrained by the Von Neumann bottleneck, resulting i…
  crossref Fiheon Imroze, Bhavani Yalagala, Naveen Kumar, Mostafa Elsayed 等 2025-10-26T19:24:07Z 置信度 0.70
• Hardware–Software Co-Design for Event-Driven SNN Deployment on Low-Cost Neuromorphic FPGAs
  crossref Jiwoon Lee, Souvik Chakraborty, Syed Bahauddin Alam, Cheolsoo Park 2026-07-16T05:57:39Z 置信度 0.70
• (Invited) MLD of Metal-Organic Thin Films with Tunable Conductance for Neuromorphic Computing Applications
  Artificial neural networks have revolutionized the field of artificial intelligence with human-like performance in fields such as computer vision and speech recognition. As the tasks for AI are increasingly demanding, significant gains in terms of speed and po…
  crossref Mikko Nisula, Antti J. Karttunen, Christophe Detavernier 2020-12-22T18:55:28Z 置信度 0.70
• Guest Editorial: Memristive electronic circuits, neural networks and neuromorphic computing
  crossref Yichuang Sun, Shahar Kvatinsky, Georgios Ch. Sirakoulis, Jingru Sun 等 2024-11-14T01:39:05Z 置信度 0.70
• Atomic-Device Hybrid Modeling of Relaxation Effect in Analog RRAM for Neuromorphic Computing
  crossref Feng Xu, Bin Gao, Yue Xi, Jianshi Tang 等 2021-03-11T16:34:02Z 置信度 0.70
• Toward Advancement of Fabrication Techniques of Neuromorphic Computing Devices Based on 2D Materials
  Abstract The growing necessity for power‐efficient and cognitive computation mechanisms has driven progress in neuromorphic computing which seeks to imitate the synaptic mechanisms underlying human brain functionality. The drawbacks of traditional computation …
  crossref Shubham Umeshkumar Gupta, Malkeshkumar Patel, Naveen Kumar, László Pohl 等 2025-07-12T12:25:26Z 置信度 0.70
• Fully interface-controlled memristive devices for artificial synapse and neuromorphic computing
  crossref Sundar Kunwar, Aiping Chen 2023-10-05T21:04:40Z 置信度 0.70
• Kernel heterogeneity improves sparseness of natural images representations
  Abstract Both biological and artificial neural networks inherently balance their performance with their operational cost, which characterizes their computational abilities. Typically, an efficient neuromorphic neural network is one that learns representations …
  crossref Hugo J Ladret, Christian Casanova, Laurent Udo Perrinet 2024-08-20T08:39:30Z 置信度 0.70
• Session details: Crossbars, Analog Accelerators for Neural Networks, and Neuromorphic Computing Based on Printed Electronics
  crossref Hussam Amrouch, Sheldon Tan 2022-12-22T12:10:54Z 置信度 0.70
• A Multi-Scale CNN-LSTM Network with Squeeze and Excitation Block for Leg Movement Detection during Sleep
  crossref Qingqing Yang, Yamei Li, Xielan Tang, Lu Luo 2025-05-19T17:52:05Z 置信度 0.70
• Magnetic tunnel junction based implementation of spike time dependent plasticity learning for pattern recognition
  Abstract We present a magnetic tunnel junction (MTJ) based implementation of the spike time-dependent (STDP) learning for pattern recognition applications. The proposed hybrid scheme utilizes the spin–orbit torque (SOT) driven neuromorphic device-circuit co-de…
  crossref Aijaz H Lone, S Amara, H Fariborzi 2022-02-22T22:47:09Z 置信度 0.70
• Stochastic single flux quantum neuromorphic computing using magnetically tunable Josephson junctions
  crossref Stephen E. Russek, Christine A. Donnelly, Michael L. Schneider, Burm Baek 等 2016-11-10T16:39:45Z 置信度 0.70
• Magnetoelectric Basic Logic Element for Neuromorphic Computing
  crossref V. A. Misilin, V. A. Kiselev, A. A. Mikhailov, R. V. Petrov 等 2024-08-09T17:18:24Z 置信度 0.70
• ZnIn2S4 optoelectronic synapses with vacancy-engineered persistent photoconductivity for neuromorphic computing
  crossref Xin Peng, Xing Xu, Yicheng Wang, Yipeng Zhao 等 2025-12-04T17:14:48Z 置信度 0.70
• Integrated algorithm and hardware design for hybrid neuromorphic systems
  crossref James Seekings, Mahsa Ardakani, Peyton Chandarana, Arshia Eslami 等 2025-08-12T05:11:20Z 置信度 0.70
• Versatile optoelectronic memristor based on wide-bandgap Ga2O3 for artificial synapses and neuromorphic computing
  Abstract Optoelectronic memristors possess capabilities of data storage and mimicking human visual perception. They hold great promise in neuromorphic visual systems (NVs). This study introduces the amorphous wide-bandgap Ga 2 O 3 photoelectric synaptic memris…
  europepmc Dongsheng Cui, Mengjiao Pei, Zhenhua Lin, Hong Zhang 等 2025 置信度 0.80
• Neuromorphic Unlimited Sampling for High-Dynamic-Range Video Acquisition
  crossref Abijith Jagannath Kamath, Chandra Sekhar Seelamantula 2025-03-12T17:15:02Z 置信度 0.70
• Artificial optoelectronic synapses based on Ga ₂ O ₃ metal–semiconductor–metal solar‐blind ultraviolet photodetectors with asymmetric electrodes for neuromorphic computing
  Abstract Research on optoelectronic synapses that can integrate both detection and processing functions is essential for the development of efficient neuromorphic computing. Here, we experimentally demonstrated an Ga 2 O 3 ‐based metal–semiconductor–metal (MSM…
  crossref Huazhen Sun, Bingjie Ye, Mei Ge, Biao Gong 等 2025-03-11T09:05:24Z 置信度 0.70
• Photoelectric memristor based on a PZT/NSTO heterojunction for neuromorphic computing applications
  Inspired by the human brain and visual system, neuromorphic computing based on a photoelectric memristor overcomes the limitations of the traditional von Neumann architecture and has attracted the interest of researchers.
  crossref Jingjuan Wang, Zhaowen Wang, Wenze Zhao, Xiaobing Yan 2024-12-30T06:40:56Z 置信度 0.70
• MoS2-Based Synaptic Transistor for Neuromorphic Computing and Encoded Optical Communication
  Abstract Two-dimensional (2D) transition metal dichalcogenides (TMDs) have attracted considerable attention for next-generation electronic and optoelectronic devices due to their atomically thin structure, tunable bandgap, and strong light-matter interactions.…
  crossref Jaehyeop Lee, Minsu Kim, Muhammad Nasim, Chiyoung Kim 等 2026-08-13T13:01:59Z 置信度 0.70
• Visible light-driven synaptic transistors based on bilayer InGaZnO homojunction for neuromorphic computing
  The development of photoelectric synaptic transistors (PSTs) using visible light-driven mimicking synaptic behaviors represents a key advancement toward biomimetic visual systems. This study proposes a PST based on bilayer indium-gallium-zinc-oxide (IGZO) homo…
  crossref Zezhong Yin, Liuyue Shan, Ranran Ci, Dandan Hao 等 2025-03-10T11:00:18Z 置信度 0.70
• Monolithic 3D neuromorphic computing system with hybrid CMOS and memristor-based synapses and neurons
  crossref Hongyu An, M. Amimul Ehsan, Zhen Zhou, Fangyang Shen 等 2017-11-01T05:15:24Z 置信度 0.70
• EDGX-1: A New Frontier in Onboard AI Computing with a Heterogeneous and Neuromorphic Design
  crossref Nick Destrycker, Wouter Benoot, João Mattias, Ivan Rodriguez 等 2024-01-23T20:44:04Z 置信度 0.70
• Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing
  Progress in computational neuroscience toward understanding brain function is challenged both by the complexity of molecular-scale electrochemical interactions at the level of individual neurons and synapses and the dimensionality of network dynamics across th…
  crossref Margot Wagner, Thomas M. Bartol, Terrence J. Sejnowski, Gert Cauwenberghs 2021-12-01T08:21:20Z 置信度 0.70
• Signal and noise extraction from analog memory elements for neuromorphic computing
  Abstract Dense crossbar arrays of non-volatile memory (NVM) can potentially enable massively parallel and highly energy-efficient neuromorphic computing systems. The key requirements for the NVM elements are continuous (analog-like) conductance tuning capabili…
  crossref N. Gong, T. Idé, S. Kim, I. Boybat 等 2018-05-22T15:42:59Z 置信度 0.70
• NeuRehab: a reinforcement learning and spiking neural network-based rehab automation framework
  Abstract Recent advancements in robotic rehabilitation therapy have provided modular exercise systems for post-stroke muscle recovery with basic control schemes. But these systems struggle to adapt to patients’ complex and ever-changing behaviour, and to opera…
  crossref Phani Pavan Kambhampati, Chainesh Gautam, Jagan P, Madhav Rao 2026-07-29T22:50:54Z 置信度 0.70
• Solution‐Processed Bi ₂ S ₃ Nanostructures for Flexible Memory and Neuromorphic Computing
  Abstract The rapid advancement of wearable computing and edge AI technologies is driving the need for low‐temperature, flexible, and neuromorphic‐compatible electronic materials. In this work, the successful low‐temperature deposition of Bi 2 S 3 thin films vi…
  crossref Sayali Shrishail Harke, Omesh Kapur, Peng Dai, Tongjun Zhang 等 2025-09-30T10:15:07Z 置信度 0.70
• A p-n Junction Gate DRAM for Non-Destructive and Linear Synaptic Modulation in Neuromorphic Computing
  crossref Eungi Hwang, Ilho Myeong, Garam Kim 2026-08-04T01:59:43Z 置信度 0.70
• Synaptic metaplasticity and associative learning in low-power neuromorphic computing using W-diffused BaTiO₃ memristors
  crossref Muhammad Ismail, Hyesung Na, Maria Rasheed, Chandreswar Mahata 等 2025-06-24T19:28:43Z 置信度 0.70
• Multilayer ferromagnetic spintronic devices for neuromorphic computing applications
  Spintronic devices, which are built upon ferromagnetic thin film systems, exhibit significant promise for energy-efficient memory, logic operations, and neuromorphic computing applications.
  crossref Aijaz H. Lone, Xuecui Zou, Kishan K. Mishra, Venkatesh Singaravelu 等 2024-06-03T17:01:36Z 置信度 0.70
• 524 Modelling quantum transport in electronic devices: MOSFET, FinFET, NanowireFET
  crossref 2026-07-06T19:15:47Z 置信度 0.70
• Inferring Ingrained Remote Information in AC Power Flows Using Neuromorphic Modality Regime
  crossref Xiaoguang Diao, Yubo Song, Subham Sahoo 2024-11-04T13:32:51Z 置信度 0.70
• Embracing the Unreliability of Memory Devices for Neuromorphic Computing
  crossref Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak 等 2020-06-30T17:20:26Z 置信度 0.70
• Edge-Intelligent Wearable Respiratory Monitoring using Hypergraph Learning and Neuromorphic Signal Processing
  crossref P. Poornimadevi, Jubaitha J, S.Mohan, Rajeshwari.M 等 2026-07-29T19:10:52Z 置信度 0.70
• Spin-Orbit Torque Driven Memristor in Bulk L10 Fept System for Neuromorphic Computing
  In this study, the memristor driven by spin-orbit torque (SOT) is realized in the bulk L1 0 FePt systems with high perpendicular magnetization anisotropy (PMA). Due to the domain nucleation and expansion driven by current pulses, multi-level Hall resistances c…
  crossref Ying Tao, Chao Sun, Wendi Li, Cen Wang 等 2022-07-27T03:03:49Z 置信度 0.70
• Platinum Cluster-Assembled Thin Films for Neuromorphic Hardware
  crossref Stefano Radice, Francesca Borghi, Paolo Milani 2026-04-16T08:04:37Z 置信度 0.70
• Robust neuromorphic computing in the presence of process variation
  crossref Ali BanaGozar, Mohammad Ali Maleki, Mehdi Kamal, Ali Afzali-Kusha 等 2017-05-15T16:34:41Z 置信度 0.70
• Fine-grained or coarse-grained? Strategies for implementing parallel genetic algorithms in a programmable neuromorphic platform
  crossref Indar Sugiarto, Steve Furber 2020-11-23T07:43:33Z 置信度 0.70
• Reduction of Inference time in Neuromorphic Based Platform for IoT Computing Environments
  crossref Jaeseop Kim, Seungyeon Lee, Jiman Hong 2022-04-05T02:18:28Z 置信度 0.70
• Temporal hierarchy in spiking neural networks
  Abstract Taking inspiration from the brain to design efficient computational systems remains challenging due to its complexity. This work investigates a key biological feature observed across mammals: a hierarchy of time scales in cortical areas. Experimental …
  crossref Filippo Moro, Pau Vilimelis Aceituno, Laura Kriener, Melika Payvand 2026-06-09T22:52:55Z 置信度 0.70
• Nanoscale sliding modulated SrCoOx-based neuromorphic memory device
  crossref Lele Ren, Mengmeng Jia, Shidai Tian, Junyi Zhai 2024-12-12T16:49:59Z 置信度 0.70
• Zinc Tin Oxide based Synaptic Transistors with Ion-Gel Gate Insulator for Neuromorphic Computing Application
  crossref Shao Shiun Liao, Chen -Yu Hsu, Yu -Wu Wang 2024-05-27T22:13:36Z 置信度 0.70
• 11 Some ideas on modern quantum and brain-inspired devices
  crossref 2026-07-06T19:15:47Z 置信度 0.70
• Design and Simulation of Stretchable Crossbar Array for Neuromorphic Computing
  crossref Twinkel Manna, Gulafsha Bhatti, Aakanksha Verma, Sourajeet Roy 等 2026-07-09T19:41:48Z 置信度 0.70
• Three-terminal neuromorphic synaptic devices leveraging electrochemical reactions and ferroelectric switching dynamics
  crossref Jiyong Woo 2025-04-01T13:55:38Z 置信度 0.70
• Layout of a Neuromorphic Integrated Circuit for Differential Motion Detection
  crossref Vinay Vishnani, Lance Fernandes, Omkar Deshmukh, Payal Shah 等 2022-02-07T21:15:07Z 置信度 0.70
• Modeling and analysis of neuronal membrane electrical activities in 3d neuromorphic computing system
  crossref M. Amimul Ehsan, Zhen Zhou, Yang Yi 2017-10-26T17:59:51Z 置信度 0.70
• High‐Performance Memristors Based on Ordered Imine‐Linked Two‐Dimensional Covalent Organic Frameworks for Neuromorphic Computing
  ABSTRACT Covalent organic frameworks (COFs) have emerged as highly promising materials for high‐performance memristors due to their exceptional stability, molecular design flexibility, and tunable pore structures. However, the development of COF memristors fac…
  crossref Da Huo, Zhangjie Gu, Bailing Song, Yimeng Yu 等 2025-04-07T07:16:18Z 置信度 0.70
• Mixed photonic/electronic neural network based on microLED arrays
  Abstract We present a novel approach for the implementation of a mixed photonic/electronic neural network using gallium nitride based microLEDs as an efficient key element. The system is fully analog, with the synaptic fan-out and weighting implemented in free…
  crossref M Müller, R Kraneis, N Kälin, N von Malm 等 2025-04-11T22:50:44Z 置信度 0.70
• Stability-aware Neuromorphic Computation
  crossref Egor E. Nuzhin, Ivan Tyukin, Georgii Ovchinnikov, Nikolay V. Brilliantov 2025-11-14T18:46:15Z 置信度 0.70
• Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing
  crossref Jialing Li, Lingjia Liu, Chenyuan Zhao, Kian Hamedani 等 2017-06-20T18:22:34Z 置信度 0.70
• Acoustic scene analysis using analog spiking neural network
  Abstract Sensor nodes in a wireless sensor network for security surveillance applications should preferably be small, energy-efficient, and inexpensive with in-sensor computational abilities. An appropriate data processing scheme in the sensor node reduces the…
  crossref Anand Kumar Mukhopadhyay, Moses Prabhakar Naligala, Divya Lakshmi Duggisetty, Indrajit Chakrabarti 等 2022-09-09T22:19:07Z 置信度 0.70
• Emotion-Driven Memcapacitor Biomimetic Circuit for Reinforcement Learning
  crossref Haotong Zhou, Kefan Tao, Junwei Sun, Yanfeng Wang 等 2025-05-19T17:52:05Z 置信度 0.70
• Related Work
  crossref Felix Staudigl, Rainer Leupers 2026-01-22T14:22:01Z 置信度 0.70
• GaN-Based Dilute Magnetic Semiconductors for Room Temperature Neuromorphic and Quantum Computing
  Neuromorphic computing and quantum computing are attracting more research attention in recent years. Neuromorphic computing mimic the quantum decoherence for neuron firing and the microtubule processes, and artificially recreating the highly parallel computing…
  crossref Chuanle Zhou, Amirhossein Ghods, Vishal G. Saravade, Ian Ferguson 2020-02-27T12:06:50Z 置信度 0.70
• Experimental demonstration of silicon-based on-chip neuromorphic optical computing
  crossref Junhyeong Kim, Seokjin Hong, Jaeyong Kim, Berkay Neseli 等 2024-01-25T21:52:41Z 置信度 0.70
• Reducing the spike rate of deep spiking neural networks based on time-encoding
  Abstract A primary objective of Spiking Neural Networks is a very energy-efficient computation. To achieve this target, a small spike rate is of course very beneficial given the event-driven nature of such a computation. A network that processes information en…
  crossref Riccardo Fontanini, Alessandro Pilotto, David Esseni, Mirko Loghi 2024-07-18T22:53:08Z 置信度 0.70
• Halide perovskite two-terminal analog memristor capable of photo-activated synaptic weight modulation for neuromorphic computing
  Emulation of biological signal processing, learning and memory functions is essential for the development of artificial learning circuitry. Two terminal artificial synapses are supposed to be more feasible with biological system in terms of energy efficiency a…
  crossref Ujjal Das, Pranab Sarkar, Bappi Paul, Asim Roy 2021-05-07T09:42:48Z 置信度 0.70
• Exploring the Active Realization of Analog Multi-Level Memristors for Neuromorphic Applications
  crossref 2025-08-06T09:45:00Z 置信度 0.70
• The Unified Neuromorphic Assembly Layer for Hardware-Agnostic Compilation in Neuromorphic Computing
  The programming of neuromorphic assembly has advanced steadily, providing essential tools and paradigms to help connect the gap between abstract Spiking Neural Network (SNN) models and brain-inspired computing hardware. This work presents UNAL (Unified Adaptiv…
  crossref Ganesh D. Jadhav, Rahul V. Dagade, Sushant Jakhade, Kshitij Jadhav 等 2025-12-30T14:01:46Z 置信度 0.70
• Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses
  crossref Yandan Wang, Wei Wen, Linghao Song, Hai Helen Li 2017-02-20T16:36:54Z 置信度 0.70
• ExSpike: A General Full-Event Neuromorphic Architecture for Exploiting Irregular Sparsity with Event Compression
  Spiking neural networks (SNNs) promise energy-efficient computing due to their sparse spatio-temporal activity. However, effectively translating such irregular sparsity into practical performance and energy gains remains challenging, as full-event computing ar…
  datacite Chen, Yuehai, Merchant, Farhad 2026 置信度 0.66 Hardware Architecture (cs.AR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Reconfigurable all-optical inference via tunable second-harmonic generation and spin-orbit coupling cascade
  Spin-orbit coupling (SOC) is widely exploited as a fundamental mechanism for generating orbital angular momentum (OAM); however, conventional approaches typically lack flexibility and tunability. Here, we introduce a continuously tunable second-harmonic genera…
  datacite Zhang, Li, Zhuang, Zikuan, Deng, Ronghao, Hong, Ling 等 2026 置信度 0.66 Optics (physics.optics)FOS: Physical sciencesFOS: Physical sciences
• A Multi-Layer Classification System for Neural Structures: Axiomatization, Extensibility, and Periodic-Table Predictions
  This paper establishes a multi-layer classification system for neural structures based on computational primitives (neuronal dynamics, synaptic plasticity, connectivity topology) and their axiomatic systems. The system takes as successive refinement criteria t…
  datacite liu, shifa 2026 置信度 0.66 neural computation; axiomatization; classification system; synaptic plasticity; periodic table; brain networks; emergence; neuromorphic computing
• A Multi-Layer Classification System for Neural Structures: Axiomatization, Extensibility, and Periodic-Table Predictions
  This paper establishes a multi-layer classification system for neural structures based on computational primitives (neuronal dynamics, synaptic plasticity, connectivity topology) and their axiomatic systems. The system takes as successive refinement criteria t…
  datacite liu, shifa 2026 置信度 0.66 neural computation; axiomatization; classification system; synaptic plasticity; periodic table; brain networks; emergence; neuromorphic computing
• Corrigendum. Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain (vol 12, 891, 2018)
  In the original article, there were mistakes in Table 5, Comparison of event-based neural processors, as published. The area per neuron for the transistor channel was incorrectly provided as “4 cm2” and should be “-” (empty). The synaptic plasticity for true N…
  datacite Thakur, Chetan S., Molin, Jamal L., Cauwenberghs, Gert, Indiveri, Giacomo 等 2019 置信度 0.66 neuromorphic engineeringlarge-scale systemsbrain-inspired computinganalog sub-thresholdspiking neural emulator
• Quantifying the Spike-Timing Bottleneck in Artificial and Biological Neural Networks
  First public release accompanying the manuscript "Quantifying the Spike-Timing Bottleneck in Artificial and Biological Neural Networks". Contents stb/ — reference implementation: deterministic-LIF, stochastic-LIF, and BH-LIF neurons; feedforward/recurrent spik…
  datacite Dikmen, İsmail Can 2026 置信度 0.66 spiking neural networksspike-timing bottlenecktemporal necessity scoreinformation bottleneckneuromorphic computing
• Quantifying the Spike-Timing Bottleneck in Artificial and Biological Neural Networks
  First public release accompanying the manuscript "Quantifying the Spike-Timing Bottleneck in Artificial and Biological Neural Networks". Contents stb/ — reference implementation: deterministic-LIF, stochastic-LIF, and BH-LIF neurons; feedforward/recurrent spik…
  datacite Dikmen, İsmail Can 2026 置信度 0.66 spiking neural networksspike-timing bottlenecktemporal necessity scoreinformation bottleneckneuromorphic computing
• Fabrication and performance study of Sb2Se3 Ferroelectric transistor synaptic devices
  The ferroelectric field-effect transistor (FeFET) is considered a highly promising candidate for high-performance artificial synapses due to its non-destructive readout capability, low power consumption, and gate-voltage-controlled non-volatile modulation of c…
  datacite ke rong jian, Yunfeng, Lai 2026 置信度 0.66 Semiconductor technologyferroelectric transistorartificial synapseSb2Se3Hf0.5Zr0.5O2
• A Wave-Substrate Computer: Phase-Coded Information, Settling as Computation, and a Layered Test of Functional General Intelligence
  This whitepaper builds a clock-free wave-substrate computer in which information is carried by a continuous oscillator phase θ rather than a binary bit, and computation is the physics relaxing to a fixed point rather than arithmetic. On a phase-coupled oscilla…
  datacite Lee, Young jae 2026 置信度 0.66 one-shot learningwave computingphase codingphysics settlingattractor dynamics
• A Wave-Substrate Computer: Phase-Coded Information, Settling as Computation, and a Layered Test of Functional General Intelligence
  This whitepaper builds a clock-free wave-substrate computer in which information is carried by a continuous oscillator phase θ rather than a binary bit, and computation is the physics relaxing to a fixed point rather than arithmetic. On a phase-coupled oscilla…
  datacite Lee, Young jae 2026 置信度 0.66 one-shot learningwave computingphase codingphysics settlingattractor dynamics
• Lux Ferox Research Collective — A Holographic-Thermodynamic Ontology of Information: From Planck-Scale Substrates to Civilizational Cognitive Warfare
  Lux Ferox Research Collective — A Holographic-Thermodynamic Ontology of Information: From Planck-Scale Substrates to Civilizational Cognitive Warfare (Working Paper Series, v16 — April 2026) DESCRIPTION Lux Ferox is an independent research initiative applying …
  datacite MATHIEU, François 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceMilitary ScienceMilitary FacilitiesMilitary equipment
• Lux Ferox Research Collective — A Holographic-Thermodynamic Ontology of Information: From Planck-Scale Substrates to Civilizational Cognitive Warfare
  Lux Ferox Research Collective — A Holographic-Thermodynamic Ontology of Information: From Planck-Scale Substrates to Civilizational Cognitive Warfare (Working Paper Series, v16 — April 2026) DESCRIPTION Lux Ferox is an independent research initiative applying …
  datacite MATHIEU, François 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceMilitary ScienceMilitary FacilitiesMilitary equipment
• Neuromorphic Blockchain Framework for Secure and Energy-Optimized Outlier Detection in IoT-Driven Wireless Sensor Networks
  Abstract: Wireless Sensor Networks (WSNs) are increasingly deployed in critical domains such as healthcare, environmental monitoring, and industrial automation, where secure and reliable data collection is essential. However, these networks face performance de…
  datacite Padmasree, N, Patil, Malini M 2026 置信度 0.66 Spiking Neural Networks (SNN), Block Chain-Enabled Outlier Detection in WSN, Neuromorphic Computing for IoT, Energy Efficient Anomaly Detection
• Neuromorphic Blockchain Framework for Secure and Energy-Optimized Outlier Detection in IoT-Driven Wireless Sensor Networks
  Abstract: Wireless Sensor Networks (WSNs) are increasingly deployed in critical domains such as healthcare, environmental monitoring, and industrial automation, where secure and reliable data collection is essential. However, these networks face performance de…
  datacite Padmasree, N, Patil, Malini M 2026 置信度 0.66 Spiking Neural Networks (SNN), Block Chain-Enabled Outlier Detection in WSN, Neuromorphic Computing for IoT, Energy Efficient Anomaly Detection
• MOT–ZENZ Local Operator Closure and Certified Observable Geometry Specification v2.0,
  This work presents MOT–ZENZ Local Operator Closure and Certified Observable Geometry Specification v2.0, a mathematically audited framework for describing coupled state evolution, operator closure, observability, spectral reduction, and information-geometric c…
  datacite Bazarov (VIT-BAZ), Vitaly 2026 置信度 0.66 MOT–ZENZoperator closureobservable geometryspectral reductionFisher information
• MOT–ZENZ Local Operator Closure and Certified Observable Geometry Specification v2.0,
  This work presents MOT–ZENZ Local Operator Closure and Certified Observable Geometry Specification v2.0, a mathematically audited framework for describing coupled state evolution, operator closure, observability, spectral reduction, and information-geometric c…
  datacite Bazarov (VIT-BAZ), Vitaly 2026 置信度 0.66 MOT–ZENZoperator closureobservable geometryspectral reductionFisher information
• Hardware realization of neuromorphic computing with a 4-port photonic reservoir for modulation format identification
  The fields of machine learning and artificial intelligence drive researchers to explore energy-efficient, brain-inspired new hardware. Reservoir computing encompasses recurrent neural networks for sequential data processing and matches the performance of other…
  datacite Şeker, Enes, Thomas, Rijil, Hünefeld, Guillermo von, Suckow, Stephan 等 2025 置信度 0.66 modulation format identificationneuromorphic computingneuromorphic PICphotonic integrated circuitsreservoir computing
• [6] Project Mnemosyne: From Device to Field (Associative Memory and Selective Forgetting in Janus Fractal Crossbar Array)
  Project Mnemosyne bridges the gap between Project Janus [1]—a single fractal memristive junction—and the neuromorphic computing systems envisioned in Project Raphael. Where Janus established a single synapse capable of 32-level analog storage and KWW stretched…
  datacite Liu, Tung Ning 2026 置信度 0.66 reservoir computing; associative memory; KWW forgetting; Janus memristor; (Eu,Pr,Y)2O3; neuromorphic computing; Menger sponge; fractal crossbar; Lorenz prediction; selective forgetting
• [6] Project Mnemosyne: From Device to Field (Associative Memory and Selective Forgetting in Janus Fractal Crossbar Array)
  Project Mnemosyne bridges the gap between Project Janus [1]—a single fractal memristive junction—and the neuromorphic computing systems envisioned in Project Raphael. Where Janus established a single synapse capable of 32-level analog storage and KWW stretched…
  datacite Liu, Tung Ning 2026 置信度 0.66 reservoir computing; associative memory; KWW forgetting; Janus memristor; (Eu,Pr,Y)2O3; neuromorphic computing; Menger sponge; fractal crossbar; Lorenz prediction; selective forgetting
• Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
  <p> This repository contains raw and post-processed replication data for the publication <a href="https://doi.org/10.48550/arXiv.2509.01799">"Optimal information injection and transfer mechanisms for active matter reservoir computing" (Gaimann and …
  datacite Gaimann, Mario U., Klopotek, Miriam 2025 置信度 0.66 Computer and Information SciencePhysicsNeuromorphic ComputingLiving Matter & Active MatterMachine learning
• Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
  <p> This dataset contains supplementary videos for the publication "Optimal information injection and transfer mechanisms for active matter reservoir computing" (Gaimann and Klopotek, 2025) (to be published). The datasets contain physical observables rec…
  datacite Gaimann, Mario U., Klopotek, Miriam 2025 置信度 0.66 Computer and Information SciencePhysicsNeuromorphic ComputingLiving Matter & Active MatterMachine Learning
• Antiferromanyetik Van der Waals Heteroyapılarında Spin-Yörünge Torku Aracılığıyla Nöromorfik Matris-Vektör Hesaplama: Rezervuar Hesaplama Çerçevesinde Teorik Bir Öneri
  Özet İki boyutlu (2B) bir antiferromanyetik (AFM) van der Waals heteroyapısı içinde spin-yörünge torku (SYT) dinamiklerini kullanan teorik bir nöromorfik hesaplama çerçevesi sunuyoruz. MnBi₂Te₄/Pt gibi ağır-metal/AFM-yalıtkan çift katmanlarında, mevcut Landau-…
  datacite Muzaffer enes yünlü 2026 置信度 0.66 Spintronics, Antiferromagnetic Neuromorphic Computing, Van der Waals Heterostructures, Reservoir Computing, Spin-Orbit Torque (SOT), Prior Art.