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• Application of Event Cameras and Neuromorphic Computing to VSLAM: A Survey.
  europepmc 2024 置信度 0.80
• Neural Topological Variational Dynamics (NTVD): A Self-Organizing Microstate Scheduling Theory for Next-Generation Operating Systems
  Conventional operating system scheduling theories rely heavily on discrete, heuristic algorithms to allocate computing resources from an external, centralized controller. While effective for classical architectures, this paradigm faces a fundamental scalabilit…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Generative Causal Flow Dynamics: A Continuous Non-Equilibrium Computing Paradigm for High-Dimensional Concurrency Theory
  Traditional formalisms of concurrency theory—such as the Pi-calculus, Actor models, and Petri nets—have long been anchored in the discrete paradigms of state-transition systems and combinatorial graph theory. While highly successful for foundational verificati…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Generative Causal Flow Dynamics: A Continuous Non-Equilibrium Computing Paradigm for High-Dimensional Concurrency Theory
  Traditional formalisms of concurrency theory—such as the Pi-calculus, Actor models, and Petri nets—have long been anchored in the discrete paradigms of state-transition systems and combinatorial graph theory. While highly successful for foundational verificati…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Data for: "All-optical passive spiking processing and reservoir computing with a silicon microring and wavelength-time division multiplexing"
  The manuscript describes passive deterministic spiking dynamics in silicon microring resonators and their use for all-optical spiking reservoir computing. Data used for figures in the manuscript. Data can be extracted and visualized using python. A supplementa…
  datacite Donati, Giovanni 2025 置信度 0.66 Spiking Neural Networkpassivesiliconmicroringresevoir computing
• Strain in Reconfigurable Transistors for SiGe based neuromorphic computing
  We propose to apply Scanning X-ray Diffraction Microscopy (SXDM) at beamline ID01 to acquire nanoscopic maps of the full strain tensor in reconfigurable transistors (RFETs) based on Ge/Si nanosheet heterostructures on silicon on insulator (SOI) substrates. The…
  datacite Aberl, Johannes, Brehm, Moritz, Capellini, Giovanni, Knaller, Nikolas 等 2029 置信度 0.66 Applied Material ScienceMA-6989ID01XRAYS, X-ray Radiation Technique
• Experimental and Numerical Demonstration of Threshold Voltage Asymmetry and Synaptic Plasticity in MoS₂ Transistors
  Thanks to their advanced tunable electrical properties, two-dimensional materials have emerged as a promising platform for neuromorphic computing, offering unique exibility and scalability. In this work, we report the fabrication and experimental characterizat…
  datacite Matteo Porzani, Andres Godoy, Juan Cuesta-Lopez, Daniele Ielmini 等 2026 置信度 0.66 Physical sciences
• Experimental and Numerical Demonstration of Threshold Voltage Asymmetry and Synaptic Plasticity in MoS₂ Transistors
  Thanks to their advanced tunable electrical properties, two-dimensional materials have emerged as a promising platform for neuromorphic computing, offering unique exibility and scalability. In this work, we report the fabrication and experimental characterizat…
  datacite Matteo Porzani, Andres Godoy, Juan Cuesta-Lopez, Daniele Ielmini 等 2026 置信度 0.66 Physical sciences
• Exploiting network topology in brain-scale simulations of spiking neural networks
  Simulation code for conventional supercomputers serves as a reference for neuromorphic computing systems. The present bottleneck of distributed large-scale spiking neuronal network simulations is the communication between compute nodes. Communication speed see…
  datacite Lober, Melissa, Diesmann, Markus, Kunkel, Susanne 2026 置信度 0.66 Distributed, Parallel, and Cluster Computing (cs.DC)Neurons and Cognition (q-bio.NC)FOS: Computer and information sciencesFOS: Biological sciences
• Experimental Investigation of Time Series Classification using a Self-Pulsing Microring Resonator Network
  Photonic neuromorphic computing offers compelling advantages in power efficiency and parallel processing, but often falls short in realizing scalable nonlinearity and long-term memory. These limitations can be overcome by silicon microring resonator (MRR) netw…
  datacite Foradori, Alessandro, Lugnan, Alessio, Pavesi, Lorenzo, Bienstman, Peter 2025 置信度 0.66 Optics (physics.optics)FOS: Physical sciences
• BioTensor: A From-Scratch Leaky Integrate-and-Fire Neuron for Low-Resource Cortical Spiking Architecture
  We present BioTensor, a spiking neural network (SNN) primitive implemented entirely from first principles in NumPy, without reliance on established SNN frameworks (e.g., Brian2, NEST, SpikingJelly). Each BioTensor layer implements a vectorized Leaky Integrate-…
  datacite Ernens, Christophe 2026 置信度 0.66 spiking neural networksstdpneuromorphic computing
• BioTensor: A From-Scratch Leaky Integrate-and-Fire Neuron for Low-Resource Cortical Spiking Architecture
  We present BioTensor, a spiking neural network (SNN) primitive implemented entirely from first principles in NumPy, without reliance on established SNN frameworks (e.g., Brian2, NEST, SpikingJelly). Each BioTensor layer implements a vectorized Leaky Integrate-…
  datacite Ernens, Christophe 2026 置信度 0.66 spiking neural networksstdpneuromorphic computing
• Position A+B: The Holographic Synthesis Framework
  Preprint — not peer reviewed Note: This working paper builds directly upon the foundational paradigms established in The Locus of Consciousness: Geometric Phase Transitions, Quantum Coherence, and a Three-Way Empirical Test. We recommend reviewing that manuscr…
  datacite Pender, Matthew A, Wharton, Max 2026 置信度 0.66 ConsciousnessHolographic PrincipleInformation GeometryThermodynamic ConfinementQuantum No-Cloning
• Position A+B: The Holographic Synthesis Framework
  Preprint — not peer reviewed Note: This working paper builds directly upon the foundational paradigms established in The Locus of Consciousness: Geometric Phase Transitions, Quantum Coherence, and a Three-Way Empirical Test. We recommend reviewing that manuscr…
  datacite Pender, Matthew A, Wharton, Max 2026 置信度 0.66 ConsciousnessHolographic PrincipleInformation GeometryThermodynamic ConfinementQuantum No-Cloning
• The Manifold Chip: Silicon Architecture for Dynamic Curvature Adaptation via Dual-Gated Analog Shunting
  Preprint — not peer reviewed Abstract Current artificial intelligence architectures, including state-of-the-art spiking neuromorphic designs, are fundamentally constrained by static Euclidean geometries. As models scale to map high-dimensional hierarchical dat…
  datacite Pender, Matthew A 2026 置信度 0.66 Neuromorphic ComputingMemristor Crossbar ArraysAnalog Circuit DesignHardware AcceleratorsEnergy-Efficient AI
• The Manifold Chip: Silicon Architecture for Dynamic Curvature Adaptation via Dual-Gated Analog Shunting
  Preprint — not peer reviewed Abstract Current artificial intelligence architectures, including state-of-the-art spiking neuromorphic designs, are fundamentally constrained by static Euclidean geometries. As models scale to map high-dimensional hierarchical dat…
  datacite Pender, Matthew A 2026 置信度 0.66 Neuromorphic ComputingMemristor Crossbar ArraysAnalog Circuit DesignHardware AcceleratorsEnergy-Efficient AI
• Nanophotonic Neuromorphic Computing
  Project 37780 funded ($132500) by the Canada Foundation for Innovation (John R. Evans Leaders Fund) / Projet 37780 financé (132500 $) par la Fondation canadienne pour l'innovation (Fonds des leaders John-R.-Evans)
  datacite Canada Foundation for Innovation | Fondation canadienne pour l'innovation 2018 置信度 0.66
• Charge transport physics of organic conductors at high carrier densities
  Conducting polymers and other organic conductors enable emerging applications in bioelectronics, neuromorphic computing, energy storage and thermoelectric devices. When used in organic electrochemical transistors or other devices, these materials are typically…
  datacite Frisbie, C Daniel, Jacobs, Ian E, Ren, Xinglong, Sirringhaus, Henning 2026 置信度 0.66 40 Engineering4016 Materials Engineering7 Affordable and Clean Energy
• SC-NeuroCore: Universal Stochastic Computing Framework for Neuromorphic Hardware
  A high-performance neuromorphic computing framework combining stochastic computing with spiking neural networks. 122 neuron models (1943-2026), Rust SIMD engine (111 models, 41.3 Gbit/s AVX-512, PyO3 bindings), bit-true Verilog RTL co-simulation, FPGA synthesi…
  datacite Sotek, Miroslav 2026 置信度 0.66 neuromorphicstochastic computingspiking neural networksFPGAhyper-dimensional computing
• Ep. 128: AI's Dial-Up Era: Looking Back from 2036
  Episode summary: In this forward-thinking episode of My Weird Prompts, hosts Herman Poppleberry and Corn kick off the year 2026 by traveling a decade into the future. They imagine a world in 2036 where the "cutting-edge" AI of today is viewed as an adorable, c…
  datacite Rosehill, Daniel, Gemini 3.1 (Flash), Chatterbox TTS 2026 置信度 0.66 podcastai-generatedmy weird promptsfuture2036
• 3D Imaging of Complex Skyrmion and Hopf Topologies in an Extended Sample
  Spin textures are key for emergent magnetic phenomena such as topological protection and underpin novel spintronic device paradigms based on racetrack memory, logic gates, and neuromorphic computing. Using a coherent diffractive imaging technique called vector…
  datacite Binnie, I., Fang, H., Shearer, B., Grafov, A. 等 2026 置信度 0.66 Materials Science (cond-mat.mtrl-sci)Mesoscale and Nanoscale Physics (cond-mat.mes-hall)Applied Physics (physics.app-ph)FOS: Physical sciences
• SpikeTimer: Exploring Active Copyright Protection in Spiking Neural Networks via Temporal Backdoor Regularization
  Spiking Neural Networks (SNN) have emerged as a revolutionary paradigm compared to traditional Deep Neural Networks (DNN) in energy-efficient computing, showcasing exceptional capabilities in processing event-driven sensory data for real-time applications like…
  datacite Yang, Xiao, Li, Gaolei, Wu, Jun, Li, Jianhua 等 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciences
• One-shot prediction of noise-induced bifurcations with reservoir computing
  Dynamical systems can exhibit complex responses when noise is injected. In particular, dynamics can be qualitatively altered by dynamic noise, a phenomenon known as noise-induced bifurcation. Predicting noise-induced bifurcations is a critical challenge in non…
  datacite Akashi, Nozomi, Watanabe, Takayuki, Hara, Masato, Namiki, Takao 等 2026 置信度 0.66 Chaotic Dynamics (nlin.CD)FOS: Physical sciences
• Mitigating High-Frequency Geometric Noise in Non-Parametric 1-Bit Sparse
  Energy-efficient neuromorphic computing requires alternative data-encoding paradigms that bypass power-hungry floating-point operations. This paper evaluates a deterministic, non-parametric dual-manifold execution framework that maps dense 128-element integer …
  datacite Kopp, Lars 2026 置信度 0.66 Hardware Architecture (cs.AR)FOS: Computer and information sciencesI.2.6; B.2.4; I.4.4; I.5.168T07, 94A12, 15B36
• Cavity solitons as a nonlinear substrate for photonic neuromorphic computing
  Reservoir computing leverages nonlinear dynamics of physical systems to process temporal information with minimal training cost. Here, we demonstrate that cavity solitons sustained in a fiber optical cavity provide an optical platform for photonic reservoir co…
  datacite Amir Arabieh, Alessandro Lupo, Simon-Pierre Gorza, Serge Massar 2026 置信度 0.66 Uncategorized
• Supplementary document for Cavity Solitons as a Nonlinear Substrate for Photonic Neuromorphic Computing - 7843322.pdf
  Appendix—DerivationoftheReduced Model
  datacite Amir Arabieh, Alessandro Lupo, Simon-Pierre Gorza, Serge Massar 2026 置信度 0.66 Uncategorized
• Supplementary document for Cavity Solitons as a Nonlinear Substrate for Photonic Neuromorphic Computing - 7843322.pdf
  Appendix—DerivationoftheReduced Model
  datacite Amir Arabieh, Alessandro Lupo, Simon-Pierre Gorza, Serge Massar 2026 置信度 0.66 Uncategorized
• Supplementary document for Cavity Solitons as a Nonlinear Substrate for Photonic Neuromorphic Computing - 7843322.pdf
  Appendix—DerivationoftheReduced Model
  datacite Amir Arabieh, Alessandro Lupo, Simon-Pierre Gorza, Serge Massar 2026 置信度 0.66 Uncategorized
• Cavity solitons as a nonlinear substrate for photonic neuromorphic computing
  Reservoir computing leverages nonlinear dynamics of physical systems to process temporal information with minimal training cost. Here, we demonstrate that cavity solitons sustained in a fiber optical cavity provide an optical platform for photonic reservoir co…
  datacite Amir Arabieh, Alessandro Lupo, Simon-Pierre Gorza, Serge Massar 2026 置信度 0.66 Uncategorized
• Printed 1T1R Arrays for Next-Generation Electronics
  The increasing demand for energy-efficient and high-density hardware driven by artificial intelligence and the Internet of Things has exposed the limitations of conventional computing systems based on the von Neumann architecture. Consequently, neuromorphic co…
  datacite Martins, Raquel Azevedo, Hu, Hongrong, Pereira, Maria Elias, Cadilha Marques, Gabriel 等 2026 置信度 0.66 printed electronicsthin-film transistormemristor1T1Rprinted arrays
• Evolving Sparse Spiking Mixture-of-Experts: A Unified Neuromorphic Language Modeling Framework
  Modern large language model deployment is constrained by severe economic, metabolic, and utility-driven bottlenecks. We present the Evolving Sparse Spiking Mixture-of-Experts (S²-MoE), a unified neuromorphic framework targeting the core economics of running LL…
  datacite Güse, Justin 2026 置信度 0.66 mixture-of-expertsspiking neural networkslanguage modelsmodel efficiencyconditional computation
• Evolving Sparse Spiking Mixture-of-Experts: A Unified Neuromorphic Language Modeling Framework
  Modern large language model deployment is constrained by severe economic, metabolic, and utility-driven bottlenecks. We present the Evolving Sparse Spiking Mixture-of-Experts (S²-MoE), a unified neuromorphic framework targeting the core economics of running LL…
  datacite Güse, Justin 2026 置信度 0.66 mixture-of-expertsspiking neural networkslanguage modelsmodel efficiencyconditional computation
• A Neodymium-Inspired Fractal State-Space Generator for Neuromorphic Control
  Modern software typically represents memory as a data structure: arrays, buffers, queues, key-value stores, or attention contexts. In time-critical control, however, expanding the memory structure directly increases memory traffic, latency, and engineering com…
  datacite LEE, KYUCHUL, cording.ai 2026 置信度 0.66
• A Neodymium-Inspired Fractal State-Space Generator for Neuromorphic Control
  Modern software typically represents memory as a data structure: arrays, buffers, queues, key-value stores, or attention contexts. In time-critical control, however, expanding the memory structure directly increases memory traffic, latency, and engineering com…
  datacite LEE, KYUCHUL, cording.ai 2026 置信度 0.66
• Is Spike-Driven Self-Attention Necessary? The Inefficiency of Spike-Overlap Attention in Spiking Sentence Embeddings
  Spiking Neural Networks (SNNs) provide an energy-efficient alternative to conventional Deep Neural Networks by utilizing discrete, event-driven temporal spikes. However, adopting Transformer-based paradigms into the spiking domain typically requires mapping co…
  datacite Muhammad, Akhyar 2026 置信度 0.66 Spiking Neural NetworksNatural Language ProcessingSentence EmbeddingSemantic AttentionNeuromorphic Computing
• Computational Modeling and Characterization of Nanoporous Films Assembled by Deposition of Au Nanoparticles
  Nanoporous films assembled by low-kinetic-energy deposition of individual nanoparticles are complex nanomaterials for a variety of applications, from gas sensing to neuromorphic computing. We develop a numerical strategy for assembling metallic nanoparticles i…
  datacite Becatti, Giacomo, Baletto, Francesca 2026 置信度 0.66 molecular dynamicsAu nanoparticlesporous nanofilmsself-assembly
• Many-body description of two-dimensional van der Waals ferroelectric $α-$In$_2$Se$_3$
  Two-dimensional (2D) van der Waals ferroelectrics are recognized for enabling many applications, from memory and logic to neuromorphic computing, as well as transforming other materials to control electronic phase transitions and topological states. While thes…
  datacite Ayala, Denzel, Pashov, Dimitar, Zhou, Tong, Belashchenko, Kirill 等 2026 置信度 0.66 Materials Science (cond-mat.mtrl-sci)FOS: Physical sciencesFOS: Physical sciences
• I2E: Real-Time Image-to-Event Conversion for High-Performance Spiking Neural Networks
  Spiking neural networks (SNNs) promise highly energy-efficient computing, but their adoption is hindered by a critical scarcity of event-stream data. This work introduces I2E, an algorithmic framework that resolves this bottleneck by converting static images i…
  datacite Ma, Ruichen, Meng, Liwei, Qiao, Guanchao, Ning, Ning 等 2025 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Neural and Evolutionary Computing (cs.NE)FOS: Computer and information sciencesFOS: Computer and information sciences
• Dynamical systems and paradigms for bio-inspired computing
  A complex system consists of many interacting elements whose dynamics assumes different spatio-temporal scales, examples of which ranges from neural networks in living matter, neuromorphic computing systems mimicking the brain, coupled memristor systems, conse…
  datacite Ebrahimzadeh, Pezhman 2026 置信度 0.66 Hochschulschrift
• Attention is Not All You Need: A Full-Stack Brain-Inspired Computing Revolution
  Abstract Since the publication of "Attention Is All You Need" in 2017, the Transformer architecture based on self-attention mechanisms has become the dominant paradigm in artificial intelligence. Both industry and academia broadly believe that the "brute-force…
  datacite 白桦 (BaiHua Suk), Ting Chao (听潮) 2026 置信度 0.66 brain-inspired computingTransformer replacementvon Neumann bottleneckcompute-in-memoryquaternary computing
• Attention is Not All You Need: A Full-Stack Brain-Inspired Computing Revolution
  Abstract Since the publication of "Attention Is All You Need" in 2017, the Transformer architecture based on self-attention mechanisms has become the dominant paradigm in artificial intelligence. Both industry and academia broadly believe that the "brute-force…
  datacite 白桦 (BaiHua Suk), Ting Chao (听潮) 2026 置信度 0.66 brain-inspired computingTransformer replacementvon Neumann bottleneckcompute-in-memoryquaternary computing
• End-to-End Radar and Communication Modulation Recognition with Neuromorphic Computing
  Although deep learning-based methods can achieve high accuracy in automatic modulation recognition (AMR) tasks, their high computational cost makes it difficult to strike a balance between accuracy and power consumption, thereby limiting their application on r…
  datacite Li, Xiaohu, Qu, Chongxiao, Lin, Caiyong, Dou, Chenxiao 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Giant and Continuous Ionic Current Oscillation Induced by Dynamic Surface Charge Regulation in Cylindrical Mesopores
  Nanofluidic ionic oscillators based on the dynamic regulation of surface charges hold great promise for neuromorphic computing, biosensing, and ionic circuits. Here, by dynamically adjusting the local charge inversion on pore walls, we present a simple and eff…
  datacite Zhang, Hongwen, Zhao, Yujie, Gong, Zekun, Lin, Chih-Yuan 等 2026 置信度 0.66 Chemical Physics (physics.chem-ph)FOS: Physical sciencesFOS: Physical sciences
• TECHNICAL ANNEX C: BIOMORPHIC COMPUTING & NEUROMORPHIC AI HARDENING VIA ORGANIC ENTROPY GRADIENTS
  datacite Hamouda, Samir A 2026 置信度 0.66
• In-fibre logic and memory via tuneable passivation–corrosion
  Textile electronics with digital capabilities could sense, process, and store data, while providing immersive interaction with user and their immediate surroundings. However, existing textile electronic systems are typically built on von Neumann architecture a…
  datacite Li, Yuanlong, Yang, Weifeng, Shokurov, Alexander V., Reis Carneiro, Manuel 等 2026 置信度 0.66 Flexible electronicsWearable devices
• Investigation of Composition-Structural Complexity as a Design Tool for Oxidation Resistant and Soft Magnetic High-Entropy Alloy Thin Films
  This dissertation investigates two functional applications of high-entropy alloys (HEAs) in thin-film form, unified by the question of how their multi-element character can be turned to engineering advantage at the nanoscale. The two parts address distinct app…
  datacite Noor, Md Imran 2026 置信度 0.66 FOS: Materials engineering
• <strong>Self-Rectifying Organic Memristor Based on PAA/PEDOT:PSS Heterojunction for Neuromorphic Computing </strong>
  Neuromorphic computing has emerged as a promising strategy to overcome the intrinsic limitations of the von Neumann architecture, where memristive devices that emulate biological synapses are of particular interest. Among them, organic memristors offer unique …
  datacite Tang, Xiuyang, Sun, Weifang, He, Niwei, Ha, Sizhu 等 2026 置信度 0.66 Physical sciencesFOS: Physical sciences
• <strong>Self-Rectifying Organic Memristor Based on PAA/PEDOT:PSS Heterojunction for Neuromorphic Computing </strong>
  Neuromorphic computing has emerged as a promising strategy to overcome the intrinsic limitations of the von Neumann architecture, where memristive devices that emulate biological synapses are of particular interest. Among them, organic memristors offer unique …
  datacite Tang, Xiuyang, Sun, Weifang, He, Niwei, Ha, Sizhu 等 2026 置信度 0.66 Physical sciencesFOS: Physical sciences
• Exploring the opportunity of implementing neuromorphic computing systems with spintronic devices
  crossref Bonan Yan, Fan Chen, Yaojun Zhang, Chang Song 等 2018-04-23T23:20:11Z 置信度 0.70
• The Advances in Neuromorphic Computing and Brain-Inspired Systems (ANCBIS)
  crossref Bharath Sanjai Lordwin D J3, G Ponseka, K DanielRaj 2025-02-05T17:37:41Z 置信度 0.70
• Proposal and Experimental Demonstration of Reservoir Computing using Hf0.5Zr0.5O2/Si FeFETs for Neuromorphic Applications
  crossref E. Nako, K. Toprasertpong, R. Nakane, Z. Wang 等 2020-12-02T23:04:34Z 置信度 0.70
• What does it mean to represent? Mental representations as falsifiable memory patterns
  Representation is a key notion in neuroscience and artificial intelligence (AI). However, a longstanding philosophical debate highlights that specifying what counts as representation is trickier than it seems. With this brief opinion paper we would like to bri…
  crossref Eloy Parra-Barrero, Yulia Sandamirskaya 2022-06-17T00:39:27Z 置信度 0.70
• Preliminary Evaluation for Multi-domain Spike Coding on Memcapacitive Neuromorphic Circuit
  crossref Reon Oshio, Atsushi Sawada, Mutsumi Kimura, Renyuan Zhang 等 2021-12-21T21:08:13Z 置信度 0.70
• sentiment analysis on massive open online course evaluation
  crossref Xiaowei Yan, Guangmin Li, Qian Li, Jiejie Chen 等 2021-11-29T20:59:32Z 置信度 0.70
• Propeller-Based Drone Tracking with a Moving Neuromorphic Camera
  crossref Kevin Murray, Cameron Nowzari 2026-01-21T21:07:17Z 置信度 0.70
• Anti-Synchronization in Fixed/Prescribed-Time for BAM Memristive Neural Networks with Time-Varying Delays
  crossref Jinrong Yang, Guici Chen 2024-03-19T18:09:52Z 置信度 0.70
• Performance of reservoir computing in a random network of single-walled carbon nanotubes complexed with polyoxometalate
  Abstract Molecular neuromorphic devices are composed of a random and extremely dense network of single-walled carbon nanotubes (SWNTs) complexed with polyoxometalate (POM). Such devices are expected to have the rudimentary ability of reservoir computing (RC), …
  crossref Megumi Akai-Kasaya, Yuki Takeshima, Shaohua Kan, Kohei Nakajima 等 2021-12-15T22:12:23Z 置信度 0.70
• Reliable AI: From Legal Requirements to Neuromorphic Computing
  crossref Gitta Kutyniok 2024-09-11T03:36:15Z 置信度 0.70
• AI and Neuromorphic Computing for Autonomous Deep Space Operations
  crossref P. Ashok, S. Lakshmi Sridevi, K. Murali Krishna, Venkatesh Ramamurthy 2026-08-12T15:14:31Z 置信度 0.70
• Van der Waals integration of 2D materials for advanced intelligent computing
  Abstract The increasing demand for faster, energy-efficient, and higher bandwidth semiconductor devices has pushed conventional Si-based scaling to its fundamental limits, including mobility degradation, short-channel effects, and high power consumption. To ov…
  crossref Chaehyeon Kwak, Keunpyo Park, Min-Kyu Song, Ho Won Jang 等 2025-12-08T22:51:42Z 置信度 0.70
• 2D lead-tin halides for energy-efficient neuromorphic electronic devices
  crossref Maria Loi Antonietta 2024-10-16T00:21:36Z 置信度 0.70
• Edge Device CNN Classification Using Eventized RF Fingerprints
  crossref Michael J. Smith, Michael A. Temple, James W. Dean 2024-12-02T18:37:03Z 置信度 0.70
• 19411 How an NEGF simulator can be constructed?
  crossref 2026-07-06T19:15:47Z 置信度 0.70
• The transition between tonic spiking and bursting in a six-transistor neuromorphic device
  crossref Fernando Castanos, Alessio Franci 2015-12-17T22:00:07Z 置信度 0.70
• A path to energy-efficient spiking delayed feedback reservoir computing system for brain-inspired neuromorphic processors
  crossref Kangjun Bai, Yang Yi Bradley 2018-05-18T17:30:27Z 置信度 0.70
• Defect Driven Analog to Digital Resistive Switching Transition of Nio Memristor Device for Neuromorphic Applications
  Devices with controllable conversion of analog to digital resistive switching are essential to realize synaptic functions in neuromorphic computing. This work reports the influence of Cu ions on the transition from analog to digital resistive switching in Indi…
  crossref Sourav Bhakta, Pratap Kumar Sahoo 2024-08-09T11:19:06Z 置信度 0.70
• Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge
  crossref Catherine D. Schuman, Steven R. Young, Bryan P. Maldonado, Brian C. Kaul 2021-12-28T21:31:04Z 置信度 0.70
• Memristive Device Variability Performance Impact on Neuromorphic Machine Learning Hardware
  crossref Andrew J. Ford, Rashmi Jha 2021-04-13T21:42:20Z 置信度 0.70
• Neuromorphic ionic computing in droplet interface synapses
  Ionic devices with memory capabilities can emulate neural functionality, enabling neuromorphic computing and biomedical applications. In this study, we report an ionic spiking synapse based on aqueous droplet interface bilayer assembly. Under stepwise triangul…
  europepmc Zhongwu Li, Sydney K. Myers, Jingyi Xiao, Yuhao Li 等 2025 置信度 0.80
• Autonomous visuomotor development for neuromorphic robots
  crossref Zhengping Ji, Juyang Weng, Danil Prokhorov 2012-02-06T06:03:07Z 置信度 0.70
• Invited Paper: Analyzing the Robustness of Neuromorphic Computing in the Presence of Variability in Non-Volatile Memory
  crossref Andreia Podasca, Anup Das 2025-11-20T18:39:34Z 置信度 0.70
• Energy-Efficient Europium-Based 2D Perovskite ReRAM for Photo-Tunable Neuromorphic Computing
  crossref Manvendra Chauhan, Satinder K. Sharma 2025-11-10T18:50:15Z 置信度 0.70
• Neuromorphic computing with hybrid memristive/CMOS synapses for real-time learning
  crossref D. Ielmini, S. Ambrogio, V. Milo, S. Balatti 等 2016-11-01T20:59:26Z 置信度 0.70
• Simultaneous Dual‐Plasticity Organic Synaptic Transistor for Neuromorphic Computing
  ABSTRACT Neuromorphic computing systems require artificial synaptic devices capable of emulating complex biological neural functions. This study presents a dinaphtho[2,3‐b:2′,3′‐f]thieno[3,2‐b]thiophene (DNTT)‐based organic field‐effect transistor that demonst…
  crossref Tomas Vincze, Michal Hanic, Martin Berki, Martin Weis 2025-12-03T10:38:14Z 置信度 0.70
• Optical Digital Logic Gates Based on Phase-Modulated Microdisk Spiking Neurons for Neuromorphic Computing
  We propose an optical neuromorphic digital logic architecture based on microdisk spiking neurons, respectively demonstrating AND, OR, NOT, and XOR operations through the neural responses of optically injected microdisk lasers with different phase-modulated enc…
  crossref Qiang Zhang, Ning Jiang, Gang Hu, Yingjun Fang 等 2025-09-18T16:54:33Z 置信度 0.70
• Gate-All-Around (GAA) Synaptic Transistor with Linear Weight Adjustability for Neuromorphic Computing Architecture
  crossref Hasan Ansari, Kannan U.M., Seongjae Cho 2023-09-06T04:15:44Z 置信度 0.70
• Reconfigurable Neuromorphic Computing System with Memristor-Based Synapse Design
  crossref Beiye Liu, Yiran Chen, Bryant Wysocki, Tingwen Huang 2013-08-09T10:08:34Z 置信度 0.70
• Memory Wall is not gone: A Critical Outlook on Memory Architecture in Digital Neuromorphic Computing
  crossref Amirreza Yousefzadeh, Sameed Sohail, Ana Lucia Varbanescu 2025-08-27T18:20:15Z 置信度 0.70
• Voltage Gated Domain Wall Magnetic Tunnel Junction for Neuromorphic Computing Applications
  crossref Aijaz H. Lone, Hanrui Li, Nazek El-Atab, Gianluca Setti 等 2023-09-01T17:23:28Z 置信度 0.70
• Machine Learning-Assisted Analysis of Advanced STDP for Neuromorphic Computing using MRAM
  crossref Anubha Sehgal, Gaurav Verma, Seema Dhull, Sourajeet Roy 等 2023-12-12T13:39:54Z 置信度 0.70
• Guest Editors’ Introduction: Stochastic Computing for Neuromorphic Applications
  crossref Ilia Polian, John P. Hayes, Vincent T. Lee, Weikang Qian 2021-12-07T20:42:53Z 置信度 0.70
• Image Interpolation Consistent with Neuromorphic Coding Data
  crossref V.E. Antciperov, V.A. Kershner, E.R. Pavlyukova 2024-05-03T18:27:09Z 置信度 0.70
• Neuro-symbolic computing with spiking neural networks
  crossref Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt 等 2022-09-08T04:10:51Z 置信度 0.70
• One-dimensional materials for photoelectroactive memories and synaptic devices
  crossref Guanglong Ding, Kui Zhou, Teng Li, Baidong Yang 等 2020-05-29T09:12:06Z 置信度 0.70
• Two sparsities are better than one: unlocking the performance benefits of sparse–sparse networks
  Abstract In principle, sparse neural networks should be significantly more efficient than traditional dense networks. Neurons in the brain exhibit two types of sparsity; they are sparsely interconnected and sparsely active. These two types of sparsity, called …
  crossref Kevin Hunter, Lawrence Spracklen, Subutai Ahmad 2022-06-28T22:15:55Z 置信度 0.70
• Event-Driven LiDAR with Dynamic Neuromorphic Processing
  We present a novel spiking neural network approach to building 3D LiDAR images from temporal information alone. Our method uses the “spike” events from individually detected photons without the need to construct temporal histograms.
  crossref Matthias Aquilina, Alex Vicente Sola, Paul Kirkland, Ashley Lyons 2024-09-09T15:51:04Z 置信度 0.70
• Special Section on Recent Progress in Neuromorphic AI Hardware
  crossref Hirofumi Tanaka 2024-09-30T22:19:44Z 置信度 0.70
• 2D Materials for Neuromorphic Computing Devices
  crossref Max C. Lemme, Lukas Völkel, Sofia Cruces, Jimin Lee 等 2025-06-30T17:36:02Z 置信度 0.70
• Entropy-based method of reducing the training set dimension at constructing a neuromorphic fault dictionary for analog and mixed-signal ICs
  crossref Sergey Mosin 2018-07-09T23:17:35Z 置信度 0.70
• A phase-change memory model for neuromorphic computing
  Phase-change memory (PCM) is an emerging non-volatile memory technology that is based on the reversible and rapid phase transition between the amorphous and crystalline phases of certain phase-change materials. The ability to alter the conductance levels in a …
  crossref S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran 等 2018-10-17T14:00:38Z 置信度 0.70
• A Low-Power Heterostructure Memristor Based on 2D Materials for Neuromorphic Computing
  crossref Qiping Zou, Zhenqiang Tan, Jianhua Li, Haiou Li 等 2025-10-24T00:52:39Z 置信度 0.70
• 1257 Effects of spin of electron in quantum devices
  crossref 2026-07-06T19:15:47Z 置信度 0.70
• Heterogeneous systems with reconfigurable neuromorphic computing accelerators
  crossref Sicheng Li, Xiaoxiao Liu, Mengjie Mao, Hai Helen Li 等 2016-11-01T20:59:26Z 置信度 0.70
• Organic electrochemical synaptic transistors for neuromorphic vision sensor
  crossref Yiming Shi 2024-08-07T16:06:09Z 置信度 0.70
• A Mems Accelerometer with in-Sensor Neuromorphic Computing Capability
  crossref Yunlong Bai, Wuhao Yang, Bingchen Zhu, Zheng Wang 等 2025-08-19T18:06:19Z 置信度 0.70
• Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars
  Abstract In-memory computing is a promising non-von Neumann approach to perform certain computational tasks efficiently within memory devices by exploiting their physical attributes. However, the computational accuracy achieved with this approach has been rath…
  crossref Manuel Le Gallo, S R Nandakumar, Lazar Ciric, Irem Boybat 等 2022-01-27T22:41:55Z 置信度 0.70
• ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing
  crossref Gopalakrishnan Srinivasan, Kaushik Roy 2019-03-19T09:28:59Z 置信度 0.70
• Background
  crossref Felix Staudigl, Rainer Leupers 2026-01-22T14:21:55Z 置信度 0.70
• Hybrid three-dimensional integrated circuits: A viable solution for high efficiency Neuromorphic Computing
  crossref M. Amimul Ehsan, Zhen Zhou, Yang Yi 2017-06-08T16:42:47Z 置信度 0.70
• Neuromorphic computing for energy-efficient machine intelligence
  Abstract Neuromorphic computing has gained a significant amount of attention from industry as well as the research community as a means of overcoming the growing energy demands of machine intelligence. Neuromorphic systems offer promising computation approache…
  crossref Shahid Latif, Saniya Zafar, Jawad Ahmad, Muhammad Zakir Khan 等 2025-11-07T22:52:42Z 置信度 0.70