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• Analog computing with high precision and reliability
  Analog devices such as memristors have been restricted to specific and low-precision application areas due to their historical limitations in precision and reliability. To solve that, we study the source of the reading noise and successfully mitigate it, achie…
  datacite IEEE International Reliability Physics Symposium 2025, Song, Wenhao, Yang, J. Joshua 2025 置信度 0.66 Reliability PhysicsNeuromorphic Computing
• Impact of Non-ideal Reliability Characteristics of SiOx p-Bit for Complex Optimization Problem Solver
  SiOx threshold switching (TS) devices generate periodic output voltage spikes for a given input voltage (Vin) pulse. Introducing Ti layers to induce variability in the SiOx film, the number of spikes can be adjusted as a sigmoid of Vin amplitude. Therefore, Ti…
  datacite IEEE International Reliability Physics Symposium 2025, Choi, Hyeonsik, Kim, Jihyun, Woo, Jiyong 2025 置信度 0.66 Reliability PhysicsNeuromorphic Computing
• Effects of Temperature and Device-to-Device Variability in pFET-Based Bias Temperature Instability Reservoir Computing
  We conduct gait authentication tests across different sizes, temperatures, and device sets to evaluate the reliability of our pFETs BTI PRC system. The findings suggest that large devices are more resilient to high temperatures and device-to-device variability…
  datacite IEEE International Reliability Physics Symposium 2025, Bury, Erik, Degraeve, Robin, Guo, Yuanyang 等 2025 置信度 0.66 Reliability PhysicsNeuromorphic Computing
• Investigation on Temperature-Dependent Resistance States of 40nm MLC-RRAM Macro
  Resistive Random-Access Memory (RRAM) is notable for its multi-level cell (MLC) capabilities. However, its conductance is highly susceptible to temperature fluctuations, challenging practical deployment. Here, we characterize the temperature-dependent resistan…
  datacite IEEE International Reliability Physics Symposium 2025, Cai, Yimao, Feng, Yulin, Guan, Haokai 等 2025 置信度 0.66 Reliability PhysicsNeuromorphic Computing
• Compact MEOL OxRAM with 14 conductance levels for Dense Embedded Inference Computing
  A compact 1T1R memory cell with 14 conductance levels is fabricated in 28nm technology. The OxRAM is integrated in the 40nm×40nm drain contact of GO1 FDSOI transistors, enabling memory arrays with minimal 0.0357µm2 bitcell area. 106 cycles endurance, 2h data r…
  datacite IEEE International Reliability Physics Symposium 2025, Andrieu, François, Barraud, Sylvain, Boulard, François 等 2025 置信度 0.66 Reliability PhysicsNeuromorphic Computing
• Theta-Gamma Coupling and the Critical Damping Threshold: A Universal Resonance Principle in Neural Dynamics, Control Theory, and Complex Systems
  The coordination of neural oscillations across distinct frequency bands is a fundamental mechanism of cognitive processing, with theta-gamma coupling (TGC) serving as a primary substrate for memory encoding, spatial navigation, and attentional selection. While…
  datacite Granops, Udo 2026 置信度 0.66 Theta–gamma couplingCross-frequency couplingCritical dampingDamping ratioHippocampal oscillations
• Theta-Gamma Coupling and the Critical Damping Threshold: A Universal Resonance Principle in Neural Dynamics, Control Theory, and Complex Systems
  The coordination of neural oscillations across distinct frequency bands is a fundamental mechanism of cognitive processing, with theta-gamma coupling (TGC) serving as a primary substrate for memory encoding, spatial navigation, and attentional selection. While…
  datacite Granops, Udo 2026 置信度 0.66 Theta–gamma couplingCross-frequency couplingCritical dampingDamping ratioHippocampal oscillations
• A Fully Tunable Ultra-Low Power Current-Mode Memory Cell in Standard CMOS Technology
  This work introduces a fully tunable, ultra-low power unipolar memory cell inspired by the Schmitt-trigger comparator and designed in CMOS using only nine transistors. The proposed circuit operates entirely in the current domain and exploits a novel feedback c…
  datacite Fyon, Arthur, Mendolia, Loris, Redouté, Jean-Michel, Franci, Alessio 等 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Lifetime of bimerons and antibimerons in two-dimensional magnets
  Soliton-based computing architectures have recently emerged as a promising avenue to overcome fundamental limitations of conventional information technologies, the von Neumann bottleneck. In this context, magnetic skyrmions have been widely considered for in-s…
  datacite Goerzen, Moritz A., Drevelow, Tim, Haldar, Soumyajyoti, Schrautzer, Hendrik 等 2025 置信度 0.66 Mesoscale and Nanoscale Physics (cond-mat.mes-hall)FOS: Physical sciencesFOS: Physical sciences
• A General Molecular-Scale Dynamic Memristor Model Based on Non-equilibrium Charge Transport Kinetics and Its Information Processing Capability in Reservoir Computing
  Non-equilibrium molecular-scale dynamics, where fast electron transport couples with slow chemical state evolution, underpins the complex behaviors of molecular memristors, yet a general model linking these dynamics to neuromorphic computing remains elusive. W…
  datacite Chen, Yueqi, Ji, Xuan, Yu, Xi 2025 置信度 0.66 Chemical Physics (physics.chem-ph)FOS: Physical sciencesFOS: Physical sciences
• Exploring Non-Steady-State Charge Transport Dynamics in Information Processing: Insights from Reservoir Computing
  Exploring nonlinear chemical dynamic systems for information processing has emerged as a frontier in chemical and computational research, seeking to replicate the brain's neuromorphic and dynamic functionalities. We have extensively explored the information pr…
  datacite Li, Zheyang, Yu, Xi 2023 置信度 0.66 Chemical Physics (physics.chem-ph)Disordered Systems and Neural Networks (cond-mat.dis-nn)FOS: Physical sciencesFOS: Physical sciences92E99 (Primary) 68T07, 82C32 (Secondary)
• Optical Neural Networks from Coherent Transient Dynamics in Waveguide QED
  Optical neural networks promise ultrafast, low-energy information processing by performing computation directly with photons. Current implementations, however, are largely restricted to steady-state operation and rely on high-latency electro-optical conversion…
  datacite Cao, Jiande, Zeng, Yexiong, Nori, Franco, Xiang, Ze-Liang 2026 置信度 0.66 Quantum Physics (quant-ph)Optics (physics.optics)FOS: Physical sciencesFOS: Physical sciences
• Reprogrammable magnonic logic in a multiferroic heterostructure via magnetoelectric coupling
  The realization of fully reconfigurable, voltage-controlled, and programmable on-chip magnonic devices is essential to fully harness the potential of spin waves for signal processing, logic and neuromorphic computing. Yet, existing demonstrations of electrical…
  datacite Che, Ping, Abdelsamie, Amr, Papp, Ádám, Salama, Sali 等 2026 置信度 0.66 Mesoscale and Nanoscale Physics (cond-mat.mes-hall)FOS: Physical sciencesFOS: Physical sciences
• Neuromorphic tissues: Soft Biomolecular Networks for Brain-Inspired Temporal Computing
  This repository contains all MATLAB scripts and example input data required to reproduce the main computational results presented in the companion manuscript (see Connected_Reservoir_Paper_Science.pdf). The package implements and compares two physical-model re…
  datacite Armendarez, Nicholas, Mohamed, Ahmed, Hasan, Md Sakib, Najem, Joseph 2026 置信度 0.66
• Neuromorphic tissues: Soft Biomolecular Networks for Brain-Inspired Temporal Computing
  This repository contains all MATLAB scripts and example input data required to reproduce the main computational results presented in the companion manuscript (see Connected_Reservoir_Paper_Science.pdf). The package implements and compares two physical-model re…
  datacite Armendarez, Nicholas, Mohamed, Ahmed, Hasan, Md Sakib, Najem, Joseph 2026 置信度 0.66
• Investigating the influence of microstructure and grain boundaries on electric properties in thin film oxide RRAM devices – A component specific approach
  At the beginning of the 21st century, the quest for finding ever more power efficient, densely packed, and multi-bit-level storage for computational applications is still ongoing. Ever increasing demand in low power computing since the advent of the internet o…
  datacite Zintler, Alexander 2022 置信度 0.66 530620
• AUGMANITAI KG-Injection 200 — 8 thematic clusters of machine-readable terminology
  Restricted bundle of the AUGMANITAI Knowledge-Graph Injection 200-term corpus organized in 8 thematic clusters: A) Semantic Web + Linked Data (50 terms), B) Backends + DevOps + Vector + Agents (50 terms), C) Robotik (30 terms), D) Swarm + Multi-Agent (30 terms…
  datacite Ehstand, Andreas 2026 置信度 0.66 AUGMANITAIknowledge graph injection200 termssemantic weblinked data
• AUGMANITAI KG-Injection 200 — 8 thematic clusters of machine-readable terminology
  Restricted bundle of the AUGMANITAI Knowledge-Graph Injection 200-term corpus organized in 8 thematic clusters: A) Semantic Web + Linked Data (50 terms), B) Backends + DevOps + Vector + Agents (50 terms), C) Robotik (30 terms), D) Swarm + Multi-Agent (30 terms…
  datacite Ehstand, Andreas 2026 置信度 0.66 AUGMANITAIknowledge graph injection200 termssemantic weblinked data
• <strong>Electric-Double-Layer Memcapacitive Reservoirs for <strong>Energy-Efficient</strong> Human-Action Processing</strong>
  Physical reservoir computing (PRC) exploits intrinsic material dynamics for energy-efficient neuromorphic hardware. However, conventional resistive PRC implementations suffer from high power consumption and hardware complexity owing to leakage currents and the…
  datacite Wan, Changjin, Xing, Qianye, Pei, Mengjiao, Cui, Hangyuan 等 2026 置信度 0.66 Physical sciencesFOS: Physical sciences
• <strong>Electric-Double-Layer Memcapacitive Reservoirs for <strong>Energy-Efficient</strong> Human-Action Processing</strong>
  Physical reservoir computing (PRC) exploits intrinsic material dynamics for energy-efficient neuromorphic hardware. However, conventional resistive PRC implementations suffer from high power consumption and hardware complexity owing to leakage currents and the…
  datacite Wan, Changjin, Xing, Qianye, Pei, Mengjiao, Cui, Hangyuan 等 2026 置信度 0.66 Physical sciencesFOS: Physical sciences
• CMOS Implementation of Field Programmable Spiking Neural Network for Hardware Reservoir Computing
  The increasing complexity and energy demands of large-scale neural networks, such as Deep Neural Networks (DNNs) and Large Language Models (LLMs), challenge their practical deployment in edge applications due to high power consumption, area requirements, and p…
  datacite Duran, Ckristian, Kimura, Nanako, Byambadorj, Zolboo, Iizuka, Tetsuya 2025 置信度 0.66 Neural and Evolutionary Computing (cs.NE)FOS: Computer and information sciencesFOS: Computer and information sciences
• Scalable neuromorphic computing from autonomous spiking dynamics in a clockless reconfigurable chip
  We propose a scalable neuromorphic architecture based on spiking dynamics emerging from the autonomous time-continuous evolution of clockless (asynchronous) digital circuits. Implemented on commercially available field-programmable gate arrays (FPGAs), our sys…
  datacite Gomes, Eric Oliveira, Rontani, Damien 2026 置信度 0.66 Neural and Evolutionary Computing (cs.NE)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Evaluating Container Orchestration for Neuromorphic Workloads in Virtual Edge Environments
  The growing adoption of edge computing has created an increasing need for workloads capable of operating under strict resource and energy constraints. Neuromorphic computing, and spiking neural networks (SNNs) in particular, offers an energy-efficient alternat…
  datacite Pham, Huyen, Silverajan, Bilhanan 2026 置信度 0.66 Distributed, Parallel, and Cluster Computing (cs.DC)FOS: Computer and information sciencesFOS: Computer and information sciences
• HCTGS v22 THE SYMBIOSIS ENGINE
  ABSTRACT — HCTGS v22: [Basis: 1,000,000 m³/day seawater input. HCTGS thermal distillation achieves ~95% recovery — requiring 1 Mm³/day seawater to produce ~950,000 m³/day fresh water. All mineral quantities, revenue, OPEX and profit figures are corrected accor…
  datacite Mehmetaj, Ilir 2026 置信度 0.66 heat cascade symbiosisvortex distillation towermagnesium combustion MgOneuromorphic chip fabricationsolid-state battery sintering
• Defect Engineering in HfO2/TiN-based Resistive Random Access Memory (RRAM) Devices by Reactive Molecular Beam Epitaxy
  Recently, there has been huge interest in emerging memory technologies, spurred by the ever increasing demand for storage capacities in various applications like Internet of Things (IoT), Big Data, etc. CMOS based flash memory, the current mainstay of the memo…
  datacite Sankaramangalam Ulhas, Sharath 2018 置信度 0.66 500530540600620
• The Hexad Methodology: Toward an Environmentally Sustainable Pathway to AGI
  Abstract The pursuit of Artificial General Intelligence (AGI) has historically been characterized by escalating computational and energetic demands, raising profound concerns about ecological sustainability. This paper introduces the Hexad Methodology—a six■pr…
  datacite Kain, Adam David 2026 置信度 0.66
• The Hexad Methodology: Toward an Environmentally Sustainable Pathway to AGI
  Abstract The pursuit of Artificial General Intelligence (AGI) has historically been characterized by escalating computational and energetic demands, raising profound concerns about ecological sustainability. This paper introduces the Hexad Methodology—a six■pr…
  datacite Kain, Adam David 2026 置信度 0.66
• Non-Equilibrium Local Temporal Perturbation Theory: Buffer Mechanisms for Causal Information Propagation
  We develop a theoretical framework, Non-Equilibrium Local Temporal Perturbation Theory (NELTPT), that describes controllable information propagation delays in causal systems without violating global causality. Rooted in three well-established physical principl…
  datacite Hou, Shutong 2026 置信度 0.66 Causal StructureInformation PropagationNon-Equilibrium Statistical PhysicsSpiking Neural NetworksTemporal Buffering
• Non-Equilibrium Local Temporal Perturbation Theory: Buffer Mechanisms for Causal Information Propagation
  We develop a theoretical framework, Non-Equilibrium Local Temporal Perturbation Theory (NELTPT), that describes controllable information propagation delays in causal systems without violating global causality. Rooted in three well-established physical principl…
  datacite Hou, Shutong 2026 置信度 0.66 Causal StructureInformation PropagationNon-Equilibrium Statistical PhysicsSpiking Neural NetworksTemporal Buffering
• ITU and Semiconductors: A Single-Axiom Foundation for Devices, Scaling, Beyond-CMOS, and the 2026-2040 Roadmap
  We apply the Information-Theoretic Unification (ITU) framework (Terada 2026, concept DOI 10.5281/zenodo.20109209; current version v2.0.0 at 10.5281/zenodo.20133709) to semiconductor transistors. The single ITU axiom dS = d governs the Landauer minimum bit-eras…
  datacite Terada, Munehiro 2026 置信度 0.66 subthreshold swingTFETNC-FETnegative capacitancespintronics
• ITU and Semiconductors: A Single-Axiom Foundation for Devices, Scaling, Beyond-CMOS, and the 2026-2040 Roadmap
  We apply the Information-Theoretic Unification (ITU) framework (Terada 2026, concept DOI 10.5281/zenodo.20109209; current version v2.0.0 at 10.5281/zenodo.20133709) to semiconductor transistors. The single ITU axiom dS = d governs the Landauer minimum bit-eras…
  datacite Terada, Munehiro 2026 置信度 0.66 subthreshold swingTFETNC-FETnegative capacitancespintronics
• Evaluating Container Orchestration for Neuromorphic Workloads in Virtual Edge Environments
  The growing adoption of edge computing has created an increasing need for workloads capable of operating under strict resource and energy constraints. Neuromorphic computing, and spiking neural networks (SNNs) in particular, offers an energy-efficient alternat…
  datacite Pham, Huyen, Silverajan, Bilhanan 2026 置信度 0.66
• Evaluating Container Orchestration for Neuromorphic Workloads in Virtual Edge Environments
  The growing adoption of edge computing has created an increasing need for workloads capable of operating under strict resource and energy constraints. Neuromorphic computing, and spiking neural networks (SNNs) in particular, offers an energy-efficient alternat…
  datacite Pham, Huyen, Silverajan, Bilhanan 2026 置信度 0.66
• A Fully Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture
  Neuromorphic computing systems, which mimic biological neurons and synapses, can implement machine-learning (ML) tasks in power-efficient fashion. Major challenges for neuromorphic computing lie in its adoption by users and from a system developer's perspectiv…
  datacite Kandasamy, Nagarajan, Das, Anup 2025 置信度 0.66 Neural networks
• A Fully Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture
  Neuromorphic computing systems, which mimic biological neurons and synapses, can implement machine-learning (ML) tasks in power-efficient fashion. Major challenges for neuromorphic computing lie in its adoption by users and from a system developer's perspectiv…
  datacite Kandasamy, Nagarajan, Das, Anup 2024 置信度 0.66 Circuits and systems
• Elements: Software infrastructure for programming and architectural exploration of neuromorphic computing systems
  Neuromorphic computing systems, which mimic biological neurons and synapses, can implement machine-learning (ML) tasks in power-efficient fashion. Major challenges for neuromorphic computing lie in its adoption by users and from a system developer's perspectiv…
  datacite Kandasamy, Nagarajan, Das, Anup 2023 置信度 0.66 Neural networksEnergy-efficient computingDistributed computing and systems software not elsewhere classified
• A benchmarking framework for embodied neuromorphic agents
  Enabling robots to swiftly, robustly and efficiently interact with a dynamic environment remains a key challenge. The robotic community can draw inspiration from the co-adaptation and synergistic interplay between animals’ brains and bodies, which underpins em…
  datacite D’Angelo, Giulia, Pedersen, Jens E, Hassan, Taimoor, Cianchetti, Matteo 等 2026 置信度 0.66 570 Life sciences; biology
• How Spike based Neuromorphic Computing can help monitor Social Distancing Efficiently
  This poster was presented at IEEE Brain Sponsored Neuromatch 2.0 Conference. Brief Description: As countries decide to lift lockdowns (due to the recent Covid-19 pandemic), it leaves no doubt, that our lifestyles will not be the same anymore. The new normal fo…
  datacite Srivastava, Varad, Singh, Manoj Kumar 2020 置信度 0.66 Neurosciences not elsewhere classifiedDigital processor architecturesOther information and computing sciences not elsewhere classifiedComputer vision
• Neuromorphic Computing in Outer Space: Intel Loihi Deployed On-Satellite for Spike Based Software Defined Communication
  &lt;table&gt;&lt;tr&gt;&lt;td&gt;&lt;p dir="ltr"&gt;In space exploration and communication technology, software-defined networking (SDN) architectures significantly improve communication throughput and latency. This study developed a Q-learning-based continuou…
  crossref Nayim Rahman, Chris Yakopcic, Tarek Taha, Ricardo Lent 等 2026-05-12T13:43:54Z 置信度 0.70
• SABRE: A Compression-Aware BF16 Accelerator for Neuromorphic Attention
  crossref Kunal Kishore, Manish Nagaraju, Anshul Raghavendra Katti, Nandan Venkataramana Bhat 等 2026-06-27T07:05:47Z 置信度 0.70
• Neuromorphic Computing Based on AlN/HZO Ferroelectric Tunnel Junction
  crossref Xuan-Kai Tang, Stephen Ekaputra Limantoro, Chao-Cheng Lin, Wen-Yueh Jang 等 2025-09-29T17:51:01Z 置信度 0.70
• Go Unary: A Novel Synapse Coding and Mapping Scheme for Reliable ReRAM-based Neuromorphic Computing
  crossref Chang Ma, Yanan Sun, Weikang Qian, Ziqi Meng 等 2020-06-15T19:28:37Z 置信度 0.70
• Analysis of Conductance Variability in RRAM for Accurate Neuromorphic Computing
  crossref H. Aziza, J. Postel-Pellerin, M. Fieback, S. Hamdioui 等 2024-05-28T17:35:14Z 置信度 0.70
• Configuring an Embedded Neuromorphic Coprocessor Using a RISC-V Chip for Enabling Edge Computing Applications
  crossref Evelina Forno, Andrea Spitale, Enrico Macii, Gianvito Urgese 2022-02-04T20:48:12Z 置信度 0.70
• Neuromorphic quantum computing
  crossref Christian Pehle, Christof Wetterich 2022-10-31T14:08:24Z 置信度 0.70
• Neuromorphic Computing-Based Model for Short-Term Forecasting of Global Horizontal Irradiance in Saudi Arabia
  crossref Abdulelah Alharbi, Ubaid Ahmed, Talal Alharbi, Anzar Mahmood 2024-09-17T18:53:12Z 置信度 0.70
• Artificial synapse arrays based on SiOx/TiOx memristive crossbar with high uniformity for neuromorphic computing
  As the key of artificial synapse networks, memristive devices play the most important role to construct an artificial synapse because of their biological structure and function similar to the synapse. The memristive device with high uniformity is now urgently …
  crossref Kangmin Leng, Xinyue Yu, Zhongyuan Ma, Wei Li 等 2022-01-24T11:06:24Z 置信度 0.70
• Harnessing Synaptic Plasticity for Real-Time Edge Processing in Neuromorphic Computing Architectures
  Brain-inspired neuromorphic computing, which is based on the neuronal structure of the brain, provides a revolutionary paradigm for real-time edge computing that is efficient in terms of energy consumption. The purpose of this work is to investigate the role o…
  crossref Jashkumar Shah, Aashna Desai, Rugved Gramopadhye, Tina Nenshi Gada 等 2026-03-22T15:20:28Z 置信度 0.70
• 2024 International Conference on Neuromorphic Systems (ICONS)
  crossref 2024-12-02T18:38:26Z 置信度 0.70
• Cooperative Power Sharing Can Enhance the Power-flow Balancing in Cyber-Physical Islanded Microgrids
  crossref Shuai Han, Yuhong Mo, Leping Sun, Xiaoxuan Guo 等 2024-03-19T18:09:52Z 置信度 0.70
• Machine Learning-Driven Reconfigurable EONs with Neuromorphic Computing for Network Slicing and On-Demand Service Provisioning: A Review and Survey
  Abstract: This paper delves into the substantial potential of integrating advanced technologies within Reconfigurable Elastic Optical Networks (REONs). By leveraging machine learning and neuromorphic computing, these networks can significantly enhance performa…
  crossref Avadha Bihari 2024-08-12T10:31:14Z 置信度 0.70
• Reliability Perspective on Neuromorphic Computing Based on Analog RRAM
  crossref Huaqiang Wu, Meiran Zhao, Yuyi Liu, Peng Yao 等 2019-05-24T04:11:10Z 置信度 0.70
• Neuromorphic computing with spintronics
  Abstract Spintronics and magnetic materials exhibit many physical phenomena that are promising for implementing neuromorphic computing natively in hardware. Here, we review the current state-of-the-art, focusing on the areas of spintronic synapses, neurons, an…
  crossref Christopher H. Marrows, Joseph Barker, Thomas A. Moore, Timothy Moorsom 2024-04-29T06:02:02Z 置信度 0.70
• Controlling Spin-Waves by Spin-Polarized Current for Logic and Neuromorphic Computing
  crossref Raí M. Menezes, Jeroen Mulkers, Clécio C. De Souza Silva, Bartel Van Waeyenberge 等 2024-07-05T17:14:48Z 置信度 0.70
• Radio Modulation Classification Optimization Using Combinatorial Deep Learning Technique
  crossref Ziad El-Khatib, Sherif Moussa 2025-01-15T07:22:42Z 置信度 0.70
• Quantized rewiring: hardware-aware training of sparse deep neural networks
  Abstract Mixed-signal and fully digital neuromorphic systems have been of significant interest for deploying spiking neural networks in an energy-efficient manner. However, many of these systems impose constraints in terms of fan-in, memory, or synaptic weight…
  crossref Horst Petschenig, Robert Legenstein 2023-05-26T06:06:26Z 置信度 0.70
• Low Temperature Polycrystalline Silicon Thin Film Synaptic Transistor with Bilingual Plasticity for Neuromorphic Computing
  crossref Nian Duan, Yi Li, Xiang-Shui Miao, Hsiao-Cheng Chiang 等 2019-05-20T23:02:42Z 置信度 0.70
• DiffPPO: Reinforcement Learning Fine-Tuning of Diffusion Models for Text-to-Image Generation
  crossref Zhuo Xiao, Ping Jiang, Mingjie Zhou, Junzi Zhang 等 2025-05-19T17:52:05Z 置信度 0.70
• Improved Neural Network Crawler with Information Entropy and Memristor Model
  crossref Yongbin Yu, Qian Tang, Xiao Feng, Huan Zhang 等 2021-11-29T20:59:32Z 置信度 0.70
• Addressing limited weight resolution in a fully optical neuromorphic reservoir computing readout
  Abstract Using optical hardware for neuromorphic computing has become more and more popular recently, due to its efficient high-speed data processing capabilities and low power consumption. However, there are still some remaining obstacles to realizing the vis…
  crossref Chonghuai Ma, Floris Laporte, Joni Dambre, Peter Bienstman 2021-02-04T11:08:10Z 置信度 0.70
• Risk Management and Contingency Planning
  crossref Ali Akbar Firoozi, Ali Asghar Firoozi 2024-09-12T15:02:54Z 置信度 0.70
• Range and angle estimation with spiking neural resonators for FMCW radar
  Abstract Automotive radar systems face the challenge of managing high sampling rates and large data bandwidth while complying with stringent real-time and energy efficiency requirements. Neuromorphic computing offers promising solutions because of its inherent…
  crossref Nico Reeb, Javier Lopez-Randulfe, Robin Dietrich, Alois C Knoll 2025-04-22T22:50:41Z 置信度 0.70
• Neuron Model Database for Arm-Based Multi-Core Neuromorphic Computing
  crossref Bo Gong, Jiang Wang, Siyuan Chang, Weitong Liu 等 2023-07-13T17:19:10Z 置信度 0.70
• Why temporal spike order reversal drops spiking network accuracy and how to partially mitigate it
  Abstract Spiking neural networks (SNNs) offer an energy-efficient alternative to traditional neural networks by utilizing discrete, temporally precise spike events. However, this study identifies a critical vulnerability in SNNs on recently established bit-bas…
  crossref Nhan Trong Luu, Duong Trung Luu, Nam Ngoc Pham, Thang Cong Truong 2026-08-12T22:52:14Z 置信度 0.70
• Opportunities for neuromorphic computing algorithms and applications
  crossref Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell 等 2022-01-31T12:04:38Z 置信度 0.70
• Neuromorphic Synergy for Video Binarization_supp1-3364529.mp4
  crossref Shijie Lin 2024-02-16T14:26:54Z 置信度 0.70
• SENSORY NEUROMORPHIC SYSTEMS
  crossref Leslie S. Smith, Alister Hamilton 2012-07-18T22:54:22Z 置信度 0.70
• Preface
  crossref 2012-02-06T06:03:07Z 置信度 0.70
• Impact of Interfacial Layer on Analog Switching Response of Flexible Memristor for Neuromorphic Computing
  crossref Parthasarathi Pal, Aarti Dahiya, Yeong-Her Wang, Sanjay Kumar 2026-03-03T20:50:13Z 置信度 0.70
• Development of three-dimensional synaptic device and neuromorphic computing hardware
  crossref I-Ting Wang, Teyuh Chou, Li-Wen Chiu, Chih-Cheng Chang 等 2017-08-09T16:18:37Z 置信度 0.70
• A Bionic Circuit for Emotion Associative Memory Based on Memristive Neural Networks
  crossref Yuejia Zhou, Zhirui Chen, Kaiwen Hu, Zhixia Ding 等 2025-05-19T17:52:05Z 置信度 0.70
• Robust Sb ₂ Se ₃ memristors via pressure-modulated growth for noise-resilient neuromorphic computing
  Abstract High-fidelity neuromorphic computing requires synaptic hardware that balances analog precision with array-level noise immunity, yet suppressing leakage currents in chalcogenide crossbars often necessitates complex interface engineering. Here, a robust…
  crossref Zining Wang, Chensi Song, Huanyu Chen, Xinsheng Liu 等 2026-05-28T00:50:26Z 置信度 0.70
• Photonic and optoelectronic neuromorphic computing
  Recent advances in neuromorphic computing have established a computational framework that removes the processor-memory bottleneck evident in traditional von Neumann computing. Moreover, contemporary photonic circuits have addressed the limitations of electrica…
  crossref L. El Srouji, A. Krishnan, R. Ravichandran, Y. Lee 等 2022-02-07T15:35:16Z 置信度 0.70
• Hardware Implementation of Neuromorphic Computing Using Large‐Scale Memristor Crossbar Arrays
  Brain‐inspired neuromorphic computing is a new paradigm that holds great potential to overcome the intrinsic energy and speed issues of traditional von Neumann based computing architecture. With the ability to perform vector‐matrix multiplications and flexible…
  crossref Yesheng Li, Kah-Wee Ang 2020-11-04T08:02:52Z 置信度 0.70
• CMOS-Compatible Memristor for Optoelectronic Neuromorphic Computing
  Abstract Optoelectronic memristor is a promising candidate for future light-controllable high-density storage and neuromorphic computing. In this work, light-tunable resistive switching (RS) characteristics are demonstrated in the CMOS process-compatible ITO/H…
  crossref Facai Wu, Chien-Hung Chou, Tseung-Yuen Tseng 2022-11-07T12:30:34Z 置信度 0.70
• A 2D neuromorphic VLSI architecture for modeling selective attention
  crossref G. Indiveri 2002-11-07T17:31:28Z 置信度 0.70
• Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning
  crossref Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash 2019-09-12T14:21:08Z 置信度 0.70
• From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system
  Abstract The first-generation of BrainScaleS, also referred to as BrainScaleS-1, is a neuromorphic system for emulating large-scale networks of spiking neurons. Following a ‘physical modeling’ principle, its VLSI circuits are designed to emulate the dynamics o…
  crossref Hartmut Schmidt, José Montes, Andreas Grübl, Maurice Güttler 等 2023-09-08T22:29:15Z 置信度 0.70
• Ultracompact Graphene Multigate Variable Resistor for Neuromorphic Computing
  crossref Mohamed Darwish, Vehbi Calayir, Lawrence Pileggi, Jeffrey A. Weldon 2016-02-03T19:12:14Z 置信度 0.70
• Editorial: special issue on memristive devices for neuromorphic computing
  crossref Ruomeng Huang, James Ryan, Chitra Gurnani, Weidong Zhang 等 2026-05-21T09:45:42Z 置信度 0.70
• Flexible optoelectronic neural transistors with broadband spectrum sensing and instant electrical processing for multimodal neuromorphic computing
  Abstract A flexible optoelectronic neural transistor (OENT) that consists of a one‐step spin‐coated tri‐blend film composed of 2,7‐dioctyl[1]benzothieno[3,2‐b][1]benzothiophene (C8‐BTBT), poly(3‐hexylthiophene‐2,5‐diyl) (P3HT), and poly(methyl methacrylate) (P…
  crossref Yao Ni, Lu Yang, Jiulong Feng, Jiaqi Liu 等 2022-11-02T08:46:10Z 置信度 0.70
• A 45nm CMOS DESIGN OF NEUROMORPHIC SYSTEM
  crossref Jehanzeb Ashraf 2020-12-10T15:58:40Z 置信度 0.70
• Graph Partitioning as Quadratic Unconstrained Binary Optimization (QUBO) on Spiking Neuromorphic Hardware
  crossref Susan M. Mniszewski 2019-09-12T14:21:08Z 置信度 0.70
• Neuromorphic distributed general problem solvers.
  crossref Andrzej Bieszczad 2018-10-04T20:10:16Z 置信度 0.70
• Integrated Wavelet Decomposition and Multi-Model Approach with Fractional-Order Sparrow Search Optimization for ECG Classification
  crossref Zhiwei Xiao, Jiejie Chen, Ping Jiang, Bin Wei 2025-05-19T17:52:05Z 置信度 0.70
• Reliability of CMOS Integrated Memristive HfO2 Arrays with Respect to Neuromorphic Computing
  crossref M.K. Mahadevaiah, E. Perez, Ch. Wenger, A. Grossi 等 2019-05-24T00:11:10Z 置信度 0.70
• Coplanar Structure Design of Floating-gate Antiferroelectric Transistor with Multiple Operation Modes for Reconfigurable Neuromorphic Computing System
  crossref Yufei Shi, Jiali Huo, Yu-Chieh Chien, Kah-Wee Ang 2025-10-16T05:08:46Z 置信度 0.70
• Superpolynomial quantum enhancement in polaritonic neuromorphic computing
  crossref Huawen Xu, Tanjung Krisnanda, Wouter Verstraelen, Timothy C. H. Liew 等 2021-05-03T14:33:53Z 置信度 0.70
• Memristive Memory Enhancement by Device Miniaturization for Neuromorphic Computing
  Abstract The areal footprint of memristors is a key consideration in material‐based neuromorphic computing and large‐scale architecture integration. Electronic transport in the most widely investigated memristive devices is mediated by filaments, posing a chal…
  crossref Anouk S. Goossens, Majid Ahmadi, Divyanshu Gupta, Ishitro Bhaduri 等 2023-02-15T02:56:02Z 置信度 0.70
• Simulating the filament morphology in electrochemical metallization cells
  Abstract Electrochemical metallization (ECM) cells are based on the principle of voltage controlled formation or dissolution of a nanometer-thin metallic conductive filament (CF) between two electrodes separated by an insulating material, e.g. an oxide. The li…
  crossref Milan Buttberg, Ilia Valov, Stephan Menzel 2023-06-06T22:27:55Z 置信度 0.70
• Harmonica: A Framework of Heterogeneous Computing Systems With Memristor-Based Neuromorphic Computing Accelerators
  crossref Xiaoxiao Liu, Mengjie Mao, Beiye Liu, Boxun Li 等 2016-06-23T19:50:05Z 置信度 0.70
• Efficient Spike Encoding Algorithms for Neuromorphic Speech Recognition
  crossref Sidi Yaya Arnaud Yarga, Jean Rouat, Sean Wood 2022-09-08T04:10:51Z 置信度 0.70
• Research topic: neuromorphic engineering systems and applications. A snapshot of neuromorphic systems engineering
  crossref Tobi Delbruck, André van Schaik, Jennifer Hasler 2014-12-19T14:54:18Z 置信度 0.70
• A compact neuromorphic architecture with dynamic routing to efficiently simulate the FXECAP-L algorithm for real-time active noise control
  crossref Giovanny Sanchez, Juan-Gerardo Avalos, Angel Vazquez, Luis Garcia 等 2020-03-17T07:45:05Z 置信度 0.70
• Neko: a Library for Exploring Neuromorphic Learning Rules
  crossref Zixuan Zhao, Nathan Wycoff, Neil Getty, Rick Stevens 等 2021-10-13T14:38:20Z 置信度 0.70
• A Quantum-Enhanced Neuromorphic Photonic Architecture for Bio-Inspired Spectral Processing
  crossref Rafael Henrique do Nascimento Oliveira, Jameson Bednarski 2025-09-05T03:25:12Z 置信度 0.70
• Implementing Associative Learning Using Neuromorphic Robot
  crossref Vinay Kumar Pillalamarri 2025-01-16T18:56:32Z 置信度 0.70
• System model of neuromorphic sequence learning on a memristive crossbar array
  Abstract Machine learning models for sequence learning and processing often suffer from high energy consumption and require large amounts of training data. The brain presents more efficient solutions to how these types of tasks can be solved. While this has in…
  crossref Sebastian Siegel, Younes Bouhadjar, Tom Tetzlaff, Rainer Waser 等 2023-04-04T22:30:46Z 置信度 0.70
• Benchmarking Event-Driven Neuromorphic Architectures
  crossref Craig M. Vineyard, Sam Green, William M. Severa, Çetin Kaya Koç 2019-09-12T14:21:08Z 置信度 0.70
• Towards neuromorphic compression based neural sensing for next-generation wireless implantable brain machine interface
  Abstract This work introduces a neuromorphic compression based neural sensing architecture with address-event representation inspired readout protocol for massively parallel, next-gen wireless implantable brain machine interface (iBMI). The architectural trade…
  crossref Vivek Mohan, Wee Peng Tay, Arindam Basu 2025-01-22T22:52:23Z 置信度 0.70