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• Self-organizing neuromorphic nanowire networks are stochastic dynamical systems
  Abstract Neuromorphic computing aims to develop software and hardware platforms emulating the information processing effectiveness of our brain. In this context, self-organizing neuromorphic nanonetworks have been demonstrated as suitable physical substrates f…
  preprints Gianluca Milano, Fabio Michieletti, Carlo Ricciardi, Enrique Miranda 2024 置信度 0.74
• A Survey on Neuromorphic Architectures for Running Artificial Intelligence Algorithms
  Neuromorphic computing, a brain inspired non-Von Neumann computing system, addresses the challenges posed by the Moore’s law memory wall phenomenon. It has the capability to increasingly enhance performance while maintaining power efficiency. Neuromorphic chip…
  preprints Seham Al Abdul Wahid, Arghavan Asad, Farah Mohammadi 2024 置信度 0.74
• Enhancing non-volatile memory and neuromorphic computing: integration of PRAM and OTS for scalable, energy-efficient architectures
  Abstract This paper investigates the integration of phase-change random access memory (PRAM) and ovonic threshold switch (OTS) devices, emphasizing their ability to advance non-volatile memory technologies, neuromorphic computing architectures, and energy-effi…
  crossref Seoyoung Park, Minsuk Koo, Sungjun Kim 2025-12-18T22:47:49Z 置信度 0.70
• Introduction
  crossref Ziad El-Khatib, Sherif Moussa 2025-01-15T07:22:56Z 置信度 0.70
• Materials, Physics, and Chemistry of Neuromorphic Computing Systems
  europepmc Juan Bisquert 2025 置信度 0.80
• Low-Cost, High-Efficiency Aluminum Zinc Oxide Synaptic Transistors: Blue LED Stimulation for Enhanced Neuromorphic Computing Applications
  Neuromorphic devices are electronic devices that mimic the information processing methods of neurons and synapses, enabling them to perform multiple tasks simultaneously with low power consumption and exhibit learning ability. However, their large-scale produc…
  crossref Namgyu Lee, Pavan Pujar, Seongin Hong 2024-09-11T02:34:49Z 置信度 0.70
• Resistive switching in benzylammonium-based Ruddlesden–Popper layered hybrid perovskites for non-volatile memory and neuromorphic computing
  Resistive switching with synaptic behaviour in layered benzylammonium-based Ruddlesden–Popper perovskites is demonstrated, with a transformation from digital to analog upon change of the halide anion, of potential interest to neuromorphic computing.
  crossref Mubashir M. Ganaie, Gianluca Bravetti, Satyajit Sahu, Mahesh Kumar 等 2024-01-03T17:05:46Z 置信度 0.70
• Neuromorphic Photonic Devices and Applications
  crossref 2024-01-02T16:14:21Z 置信度 0.70
• Synaptic devices based on silicon carbide for neuromorphic computing
  Abstract To address the increasing demand for massive data storage and processing, brain-inspired neuromorphic computing systems based on artificial synaptic devices have been actively developed in recent years. Among the various materials investigated for the…
  crossref Boyu Ye, Xiao Liu, Chao Wu, Wensheng Yan 等 2025-02-25T13:25:49Z 置信度 0.70
• Natural Biomaterials for Sustainable Flexible Neuromorphic Devices
  crossref Yanfei Zhao, Seungbeom Lee, Tingyu Long, Hea-Lim Park 等 2024-06-27T03:09:41Z 置信度 0.70
• Implementation of linear differential equations using pulse-coupled oscillators with an ultra-low power neuromorphic realization
  crossref Jafar Shamsi, Wilten Nicola 2024-04-16T23:18:53Z 置信度 0.70
• Machine Learning for Soft Robotics
  Soft Robotics refers to the design, fabrication, and control of robots made from highly deformable materials that mimic biological organisms. They can perform tasks that require flexibility and soft dexterity. With the application of Machine Learning (ML)， sof…
  crossref Baiyu Zhang, Jingjing Qiu 2025-03-21T18:53:11Z 置信度 0.70
• Brain‐Inspired Organic Electronics: Merging Neuromorphic Computing and Bioelectronics Using Conductive Polymers
  Abstract Neuromorphic computing offers the opportunity to curtail the huge energy demands of modern artificial intelligence (AI) applications by implementing computations into new, brain‐inspired computing architectures. However, the lack of fabrication proces…
  crossref Imke Krauhausen, Charles‐Théophile Coen, Simone Spolaor, Paschalis Gkoupidenis 等 2023-10-23T00:12:11Z 置信度 0.70
• The Impact of Neuromorphic Computing on Brain-Inspired Robotics: A Novel Architectural Paradigm
  crossref Sumanshu Jindal, Gitanjali Gupta, Rajani Misra 2025-07-14T17:40:02Z 置信度 0.70
• Advancements and Challenges in Neuromorphic Computing: Bridging Neuroscience and Artificial Intelligence
  Neuromorphic computing represents a paradigm shift in computational design, aiming to emulate the neural structures and functionalities of the human brain. This approach seeks to enhance efficiency and adaptability in artificial intelligence (AI) systems. This…
  crossref Melad Mohamed Salim Elfighi 2025-01-10T07:56:02Z 置信度 0.70
• A Burst-Dependent Algorithm for Neuromorphic On-Chip Learning of Spiking Neural Networks
  Abstract The field of neuromorphic engineering addresses the high energy demands of neural networks through brain-inspired hardware for efficient neural network computing. For on-chip learning with spiking neural networks, neuromorphic hardware requires a loca…
  preprints Michael Stuck, Xingyun Wang, Richard Naud 2024 置信度 0.74
• Compact Convolutional SNN Architecture for the Neuromorphic Speech Denoising
  crossref Anuar Dorzhigulov, Vishal Saxena 2024-09-16T17:34:29Z 置信度 0.70
• Integrated Neuromorphic Information Processing with Electrically-injected Microring Spiking Neuron
  We experimentally demonstrate, for the first time, a CMOS-compatible electrically injected microring spiking neuron, capable of reproducibly emulating the typical neural dynamics including excitability threshold, temporal integration, refractory period, and sp…
  crossref Jinlong Xiang, Yaotian Zhao, Xuhan Guo, Yikai Su 2024-05-14T11:28:28Z 置信度 0.70
• A Comprehensive Review of Phase Change Memory for Neuromorphic Computing: Advancements, Challenges, and Future Directions
  ABSTRACT The human brain functions as a highly efficient control center, inspiring the field of neuromorphic computing, which seeks to replicate its structure and behavior through hardware systems. Neuromorphic computing integrates processing and memory functi…
  crossref Vikas Bhatnagar, Adesh Kumar 2025-09-24T02:59:59Z 置信度 0.70
• Neuromorphic compliant control facilitates human-prosthetic performance for hand grasp functions
  Abstract Current bionic hands lack the ability of fine force manipulation for grasping fragile objects due to missing human neuromuscular compliance in control. This incompatibility between prosthetic devices and the sensorimotor system has resulted in a high …
  crossref Anran Xie, Zhuozhi Zhang, Jie Zhang, Weidong Chen 等 2025-01-13T22:54:27Z 置信度 0.70
• Review of Neuromorphic Processing for Vision Sensors
  crossref Mst Shamim Ara Shawkat, Shante Hicks, Nahin Irfan 2024-06-10T12:29:41Z 置信度 0.70
• Photonic Neuromorphic Data Processing
  crossref Frank Brückerhoff-Plückelmann, Jelle Dijkstra, Ivonne Bente, Daniel Wendland 等 2024-07-01T10:00:16Z 置信度 0.70
• Per Layer Specialization for Memory-Efficient Spiking Neural Networks
  crossref Muath Abu Lebdeh, Kasim Sinan Yildirim, Davide Brunelli 2024-12-02T18:37:03Z 置信度 0.70
• FEATURES OF NEURO- AND NEUROMORPHIC PROCESSOR ARCHITECTURES
  The paper considers hardware architectures for the implementation of formal and spike neural networks.
  crossref Oleg Telminov 2024-10-23T18:07:46Z 置信度 0.70
• Harnessing Noise for Materials Differentiation in Computational Neuromorphic Imaging
  crossref Shuo Zhu, Chutian Wang, Pei Zhang, Edmund Y. Lam 2024-11-06T13:37:06Z 置信度 0.70
• TiN/TiOx/WOx/Pt heterojunction memristor for sensory and neuromorphic computing
  crossref Dongyeol Ju, Jungwoo Lee, Hyojin So, Sungjun Kim 2024-08-05T15:19:41Z 置信度 0.70
• Neuromorphic Intelligence
  crossref Shuangming Yang, Badong Chen 2024-05-14T09:01:50Z 置信度 0.70
• Spectrum synthesis with computational neuromorphic imaging
  We propose a method for spectrum synthesis via computational neuromorphic imaging (CNI), employing stochastic variational inference to extract spectral profiles from dynamic light-sample interactions. It provides new insights into biological analysis and CNI a…
  crossref Rongzhou Chen, Shuo Zhu, Chutian Wang, Edmund Y. Lam 2024-09-09T15:51:02Z 置信度 0.70
• Neuromorphic Computing-Enabled Context-Aware Adaptive Mobile Learning Framework for Real-Time Cognitive Load Management
  The growing use of mobile learning in wireless and ubiquitous computing environments has posed various difficulties in managing the cognitive load of learners in a dynamic environment. Traditional adaptive learning approaches may not be equipped with the capac…
  crossref Gulbahor Sidikova, Nurbol Karakulov, Mustafo Tursunov, Atabek Kochkarov 等 2026-07-06T06:17:03Z 置信度 0.70
• Solving Combinatorial Optimization Problems with Nanoelectronic Neuromorphic Circuits
  crossref Dmitri Strukov 2023-02-01T09:31:42Z 置信度 0.70
• Memristive Anodic Oxides: Production, Properties and Applications in Neuromorphic Computing
  crossref Andrea Brenna, Fernando Corinto, Seyedreza Noori, Marco Ormellese 等 2018-10-04T13:50:01Z 置信度 0.70
• Boron nitride memristors: from mechanism and device optimization to integrated applications.
  europepmc 2025 置信度 0.80
• Two-Terminal Ferroelectric Artificial Synaptic Devices with Asymmetric Structure.
  europepmc 2025 置信度 0.80
• Detection and rehabilitation of age-related motor skills impairment: Neurophysiological biomarkers and perspectives.
  europepmc 2026 置信度 0.80
• 2D Material-Based Bioinspired Devices for Neuromorphic Computing.
  europepmc 2025 置信度 0.80
• Higher-order neuromorphic Ising machines-autoencoders and Fowler-Nordheim annealers are all you need for scalability.
  europepmc 2026 置信度 0.80
• Polymorphic Butterfly Attractors in a Bi-Magnetized Tabu Learning Neural Network and Its Analog Circuit Implementation
  europepmc 2025 置信度 0.80
• From Qubits to Quantum Algorithms: The Evolution of Modern Computing
  preprints 2025 置信度 0.74
• Optical Singularity Protractor for Rotating Metrology with Neuromorphic Sensing
  preprints 2025 置信度 0.74
• On-Skin Artificial Intelligence via Supramolecular Polymer Memtransistors
  Abstract On-skin artificial intelligence (AI) demands hardware that couples skin-like mechanics with efficient, real-time computation on noisy, spatiotemporal biosignals. We introduce a supramolecular polymer memtransistor that unifies intrinsic stretchability…
  preprints 2025 置信度 0.74
• A Superconducting Flux-Quanta Memory Device for Cryogenic Neuromorphic and Probabilistic Computing
  Abstract As quantum computing progresses toward large-scale implementation, there is a growing demand for cryo-compatible artificial intelligence hardware and computing paradigms that accelerate the quantum control and error correction. Here, we present a supe…
  preprints Lei Chen, Yue Wang, Xu Liu, Zengxu Zheng 等 2025 置信度 0.74
• Neuromodulation enhances the capability and efficiency of spiking neural networks
  Abstract Spiking neurons underlie the brain’s extreme energy efficiency, and therefore have great potential in neuromorphic computing, although realising this efficiency in practice has proven challenging. We use neuromodulation, a biological mechanism that le…
  preprints AbdelQader AlKilany, Dan F. M. Goodman 2025 置信度 0.74
• Sustainable Memristors from Shiitake Mycelium for High-Frequency Bioelectronics
  preprints 2025 置信度 0.74
• Toward Trustworthy Neuromorphic AI: A Bayesian Framework for Uncertainty-Aware Spiking Neural Networks
  Spiking Neural Networks (SNNs) offer a biologically plausible and energy-efficient paradigm for processing temporal data, particularly suited for neuromorphic computing platforms. However, their deterministic nature limits their deployment in safety-critical a…
  europepmc Solomon Mamo Banteywalu, Paul Leroux 2025 置信度 0.80
• AI-Native & Quantum-Ready Data Centers: Modernizing Infrastructure for the Next Digital Frontier
  preprints 2025 置信度 0.74
• Quantum-Inspired Neural Radiative Transfer (QINRT): A Multi-Scale Computational Framework for Next-Generation Climate Intelligence
  The escalating demands for high-resolution, real-time radiative transfer (RT) modeling in climate science and remote sensing necessitate a paradigm shift beyond classical solvers, such as DISORT and RRTMG, which struggle with spectral complexity, non-LTE physi…
  europepmc 2025 置信度 0.80
• Memristive Crossbar Array-based Hardware Framework for Compressed Sensing and Event-Driven Neuromorphic Processing
  preprints 2025 置信度 0.74
• Reconfigurable large-scale optoelectronic reservoir computing on programmable silicon photonic processor
  preprints 2025 置信度 0.74
• Fully Integrated Memristive Spiking Neural Network with Analog Neurons for High-Speed Event-Based Data Processing
  europepmc 2025 置信度 0.80
• Neuromorphic Modeling of Molecular Signatures in the Human Spine
  Background: Spinal disorders frequently involve dynamic molecular cascades that unfold over multiple timescales, posing challenges for early diagnosis and intervention. Traditional sensing technologies often fail to resolve fast biochemical changes or integrat…
  preprints 2025 置信度 0.74
• A Comprehensive Survey of Federated Learning for Edge AI: Recent Trends and Future Directions
  preprints 2025 置信度 0.74
• An organic spiking artificial neuron with excitatory and inhibitory synapses: towards soft and flexible organic neuromorphic processing
  Abstract Artificial neurons are key components of neuromorphic computing systems, which aim to emulate the structure and functions of biological neural networks for efficient, brain-like computation. However, most artificial neurons rely on rigid, silicon-base…
  preprints 2025 置信度 0.74
• Conjugated Backbone-Directed Side Chain-Electrolyte Coupling toward Nonvolatile Artificial Synapse
  preprints 2025 置信度 0.74
• Neuromorphic Computing Using Memristor Synapses and CMOS Neurons
  Abstract To address the increasing demands of artificial intelligence applications and the limitations of traditional computing, such as high power consumption, limited scalability, and inadequate parallelism, neuromorphic computing systems have been developed…
  europepmc Jia Wen Choo, Shibajee Nath, T. Nandha Kumar 2025 置信度 0.80
• Artificial Synapse with Tunable Dynamic Range for Neuromorphic Computing with Ion Intercalated Bilayer Graphene
  Abstract In neuromorphic computing, a tunable dynamic range in artificial synapses is crucial, as it allows devices to emulate the human brain's efficiency in processing complex information with analog programmable states. Here, we introduce an electrochemical…
  europepmc Yuzhi He, Purun (Simon) Cao, Shahin Hashemkhani, Yihan Liu 等 2025 置信度 0.80
• From Error Correction to Engineered Noise: A Bio-Inspired Path to Scalable Quantum Computing
  preprints 2025 置信度 0.74
• Critical Phenomena on a 3D Fractal with Intermediate Dimensionality: Tensor-network study
  preprints 2025 置信度 0.74
• Neuromorphic Photonic Computing with an Electro-Optic Analog Memory
  preprints 2025 置信度 0.74
• 2D Spintronics for Neuromorphic Computing with Scalability and Energy Efficiency
  The demand for computing power has been growing exponentially with the rise of artificial intelligence (AI), machine learning, and the Internet of Things (IoT). This growth requires unconventional computing primitives that prioritize energy efficiency, while a…
  europepmc 2025 置信度 0.80
• Recent Advances in Efficient Spiking Neural Networks: Architectures, Learning Rules, and Hardware Realizations
  Spiking Neural Networks (SNNs) have emerged as a promising paradigm for energy-efficient and event-driven computing, drawing inspiration from biological neurons. Recent research has introduced novel methods to enhance the performance, robustness, and hardware …
  preprints 2025 置信度 0.74
• Morphologically Tunable Mycelium Chips for Physical Reservoir Computing
  preprints 2025 置信度 0.74
• Edge-of-chaos operation and persistent dynamics for neuromorphic meminductor computing
  preprints 2025 置信度 0.74
• Scalable and Robust Multi-Bit Spintronic Synapses for Analog In-Memory Computing
  preprints 2025 置信度 0.74
• Recent Developments in Photonic Integration: Reservoir Computing in Photonics using Silicon Microring Nonlinearities
  preprints 2025 置信度 0.74
• Atomic-scale strain-confined ferroelectricity in fluorite hafnium dioxide
  preprints 2025 置信度 0.74
• Actor-Critic Networks with Analogue Memristors Mimicking Reward-Based Learning
  preprints 2025 置信度 0.74
• Neuromorphic hierarchical modular reservoirs
  preprints 2025 置信度 0.74
• Modified Spike Backpropagation Design towards Highly Parallelable Hardware Implementation
  preprints 2025 置信度 0.74
• Neuromorphic Computing with Large Scale Spiking Neural Networks
  europepmc 2025 置信度 0.80
• Amorphous, fully-stoichiometric molybdenum oxide for high performance nonvolatile resistive switching memory: The role of stoichiometry on synaptic plasticity
  Abstract Transition metal oxides (TMOs) are a promising class of materials for neuromorphic computing and processing systems demonstrating a variety of resistive switching (RS) mechanisms. However, little is known about the correlation between its stoichiometr…
  preprints 2025 置信度 0.74
• The Spike Processing Unit (SPU): An IIR Filter Approach to Hardware-Efficient Spiking Neurons
  preprints 2025 置信度 0.74
• A canonical cortical electronic circuit for neuromorphic intelligence
  Cortical microcircuits play a fundamental role in natural intelligence. While they inspired a wide range neural computation models and artificial intelligence algorithms, few attempts have been made to directly emulate them with an electronic computational sub…
  preprints 2025 置信度 0.74
• All-Optical Temporal Integration Mediated by Subwavelength Heat Antennas
  preprints 2025 置信度 0.74
• Angular-Controlled GST Phase-Change Double Micro-Ring Resonator for High-Speed Activation Functions in Neuromorphic Computing
  preprints 2025 置信度 0.74
• Online supervised learning of temporal patterns in biological neural networks under feedback control
  ABSTRACT In vitro biological neural networks (BNNs) provide a well-defined model system to constructively investigate how living cells interact with their environment to shape high-dimensional dynamics that could be used to generate a coherent temporal output,…
  preprints 2025 置信度 0.74
• Behavioral Time Scale Synaptic Plasticity (BTSP) endows Hyperdimensional Computing with brain-like information retrieval flexibility
  Abstract Hyperdimensional computing (HDC) addresses massively parallel implementations of symbolic computations that are both more transparent than ANNs and LLMs and more suitable for in-memory computing on highly energy-efficient analog hardware. It captures …
  preprints 2025 置信度 0.74
• Traditional and Machine Learning Approaches to Partial Differential Equations: A Critical Review of Methods, Trade-Offs, and Integration
  preprints 2025 置信度 0.74
• Programmable Soliton Dynamics in All-Josephson-Junction Logic Cells and Networks
  preprints 2025 置信度 0.74
• Tension shapes memory: Computational insights into neural plasticity
  preprints 2025 置信度 0.74
• Study of Vander Waals Heterostructure-Based Antiferromagnetic SpinValves for Next-Generation Memory Technology
  preprints 2025 置信度 0.74
• Time Delay Reservoir Computing in a Single Physical Node Enabled by Transient Photon Magnon Coupling 
  preprints 2025 置信度 0.74
• Neural sampling from cognitive maps enables goal-directed imagination and planning
  preprints 2025 置信度 0.74
• Plücker Conoid-Inspired Geometry for Wave-Based Computing Systems
  preprints 2025 置信度 0.74
• Post-Human Biotechnologies: Toward Recursive Intelligence and Bio-Digital Identity
  preprints 2025 置信度 0.74
• Strongly nonlinear nanocavity exciton-polaritons in gate-tunable monolayer semiconductors
  preprints 2025 置信度 0.74
• Coherent control of (non-)Hermitian mode coupling: tunable chirality and exceptional point dynamics in photonic microresonators
  preprints 2025 置信度 0.74
• Memristor Based Neuromorphic System for Unsupervised Online Learning and Network Anomaly Detection on Edge Devices
  europepmc 2025 置信度 0.80
• High-Dimension Ionic Memory in Oscillating Ion Current Signals
  preprints 2025 置信度 0.74
• Efficient learning and intrinsic noise filtering in recurrent spiking neural networks trained with e-prop
  Objective Biologically plausible learning rules for neural networks, such as e-prop (eligibility propagation), are essential both for advancing neuromorphic computing and for understanding fundamental mechanisms of learning in animal brains. However, their beh…
  preprints 2025 置信度 0.74
• NEOSTI: A Neuromorphic Electronic-Opto Spatial-Temporal Hybrid Image Sensor
  Abstract Image sensors in machine vision systems face significant challenges related to energy efficiency and processing capability when storing, transferring, and processing massive amounts of data. In humans, over 80% of information processed by the brain is…
  preprints Milin Zhang, Tianyi Liu, Zheng Huang, Xuecheng Wang 等 2025 置信度 0.74
• Hardware-Adaptive and Superlinear-Capacity Memristor-based Associative Memory
  preprints 2025 置信度 0.74
• Dynamic Pass Bias Control for Temperature-Resilient Neural Networks Using Vertical NAND Flash Memory
  preprints 2025 置信度 0.74
• Memristance and transmemristance in multiterminal memristive systems
  preprints 2025 置信度 0.74
• Laser-Guided Ion Dynamics in a Dual-Mode Memristor for Bioinspired Neuronal and Synaptic Integration
  Abstract Neuromorphic computing aims to replicate the parallel, adaptive nature of biological intelligence in electronic systems. Despite considerable advances in memristor technology, material-encoded neurosynaptic bifunctionality has not been demonstrated. W…
  preprints 2025 置信度 0.74
• Energy-efficient artificial pyramidal neuron dendrites for visual information inference
  Abstract In the human brain, a specialized type of pyramidal neuron dendrite exhibits nonlinear spike integration and sparse parallel processing capabilities. This unique structure enables efficient execution of visual tasks by activating only a small subset o…
  preprints 2025 置信度 0.74
• Photonic embedding learning with high energy efficiency exceeding 100 GOPS/W/mm2
  preprints 2025 置信度 0.74
• 3D Print Electronics with AI
  preprints 2025 置信度 0.74
• An integrated microwave neural network for broadband computation and communication
  preprints 2025 置信度 0.74
• Resonant laser excitation for nanoscale photocatalytic gold growth on patterned templates
  preprints 2025 置信度 0.74
• Human cortical networks trade communication efficiency for computational reliability.
  preprints 2025 置信度 0.74