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• Object Segmentation: From Neuromorphic Sensing to Neuromorphic Machine Learning
  Autonomous robotic systems are increasingly deployed in a variety of applications, ranging from industrial automation to search and rescue missions. A fundamental challenge for these systems lies in effective perception and navigation, especially in environmen…
  datacite Kachole, Sanket 2024 置信度 0.66 Event-based CameraDynamic Vision SensorChallenging Industrial ConditionsObject SegmentationDeep Learning
• Predicting Price Movements in High-Frequency Financial Data with Spiking Neural Networks
  Modern high-frequency trading (HFT) environments are characterized by sudden price spikes that present both risk and opportunity, but conventional financial models often fail to capture the required fine temporal structure. Spiking Neural Networks (SNNs) offer…
  datacite Ezinwoke, Brian, Rhodes, Oliver 2025 置信度 0.66 Machine Learning (cs.LG)Computational Finance (q-fin.CP)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Economics and business
• Unleashing Temporal Capacity of Spiking Neural Networks through Spatiotemporal Separation
  Spiking Neural Networks (SNNs) are considered naturally suited for temporal processing, with membrane potential propagation widely regarded as the core temporal modeling mechanism. However, existing research lack analysis of its actual contributions in complex…
  datacite Dong, Yiting, Yu, Zhaofei, Ding, Jianhao, Xu, Zijie 等 2025 置信度 0.66 Neural and Evolutionary Computing (cs.NE)FOS: Computer and information sciencesFOS: Computer and information sciences
• NeuromorphicRx: From Neural to Spiking Receiver
  In this work, we propose a novel energy-efficient spiking neural network (SNN)-based receiver for 5G-NR OFDM system, called neuromorphic receiver (NeuromorphicRx), replacing the channel estimation, equalization and symbol demapping blocks. We leverage domain k…
  datacite Gupta, Ankit, Dizdar, Onur, Chen, Yun, Kadan, Fehmi Emre 等 2025 置信度 0.66 Neural and Evolutionary Computing (cs.NE)Information Theory (cs.IT)FOS: Computer and information sciencesFOS: Computer and information sciences
• JordiTi/NeuromorphicPongControl: Neuromuscular control of Pong
  This is the pre-release of code with which you can train a spiking neural network to play the game of Pong using ballistic control.
  datacite JordiTi 2025 置信度 0.66
• Random Feature Spiking Neural Networks
  Spiking Neural Networks (SNNs) as Machine Learning (ML) models have recently received a lot of attention as a potentially more energy-efficient alternative to conventional Artificial Neural Networks. The non-differentiability and sparsity of the spiking mechan…
  datacite Gollwitzer, Maximilian, Dietrich, Felix 2025 置信度 0.66 Machine Learning (cs.LG)Neural and Evolutionary Computing (cs.NE)FOS: Computer and information sciencesFOS: Computer and information sciencesG.1; G.3
• Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail
  Spiking Neural Networks (SNNs) have attracted growing interest in both computational neuroscience and artificial intelligence, primarily due to their inherent energy efficiency and compact memory footprint. However, achieving adversarial robustness in SNNs, (p…
  datacite Nhan, Luu Trong, Duong, Luu Trung, Nam, Pham Ngoc, Thang, Truong Cong 2025 置信度 0.66 Neural and Evolutionary Computing (cs.NE)Artificial Intelligence (cs.AI)Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• How neuronal morphology impacts the synchronisation state of neuronal networks
  The biophysical properties of neurons not only affect how information is processed within cells, they can also impact the dynamical states of the network. Specifically, the cellular dynamics of action-potential generation have shown relevance for setting the (…
  datacite Gowers, Robert P., Schreiber, Susanne 2024 置信度 0.66 Neuronal morphologySpike onset dynamicsNetwork synchronisationDendritic arborisation612 Humanphysiologie
• Επιτάχυνση προσομοίωσης δικτύου νευρώνων με χρήση αναδιατασσόμενης λογικής
  Τα τελευταία χρόνια η ανάπτυξη βιολογικών νευρωνικών μοντέλων έχει κεντρίσει το ενδιαφέρον των ερευνητών. Στόχος είναι η κατανόηση σε μεγαλύτερο βαθμό της συμπεριφοράς του εγκεφάλου. Έτσι, δημιουργήθηκαν ποικίλα βιολογικά νευρωνικά μοντέλα τα οποία προσομοιώνο…
  datacite Kousanakis Emmanouil, Κουσανακης Εμμανουηλ 2015 置信度 0.66 ConveyField programmable logic arraysFPGAsfield programmable gate arraysfield programmable logic arrays
• Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training
  Spiking neural networks (SNNs) have emerged as a promising direction in both computational neuroscience and artificial intelligence, offering advantages such as strong biological plausibility and low energy consumption on neuromorphic hardware. Despite these b…
  datacite Nhan, Luu Trong, Duong, Luu Trung, Nam, Pham Ngoc, Thang, Truong Cong 2025 置信度 0.66 Neural and Evolutionary Computing (cs.NE)FOS: Computer and information sciencesFOS: Computer and information sciences
• Cholinergic Modulation of Network Activity and Applications in Sleep, Memory and Anesthesia
  In the nervous system, neurons work in tandem with a full range of complex signaling chemicals known as neuromodulators which tune neuron function to fit different behavioral tasks by varying temporal firing of the neurons. The aim of this dissertation is to u…
  datacite Eniwaye, Bolaji 2023 置信度 0.66 The Effects of Network Activity and Applications in Sleep, Memory and AnesthesiaPhysicsPhysiologyFOS: Biological sciencesScience (General)
• RRAM-Based In-Memory Computing Architecture Designs
  New computing applications, e.g., deep neural network (DNN) training and inference, have been a driving force that changed the semiconductor industry landscape. The data-intensive nature of DNN applications usually leads to high computation costs and complexit…
  datacite Wang, Xinxin 2023 置信度 0.66 In-Memory Computing ArchitectureDeep Neural Network AcceleratorNeuromorphic ComputingNon-Volatile MemorySpiking Neural Network
• Neural networks for singular perturbations
  We prove deep neural network (DNN for short) expressivity rate bounds for solution sets of a model class of singularly perturbed, elliptic two-point boundary value problems, in Sobolev norms, on the bounded interval (-1,1). We assume that the given source term…
  datacite Opschoor, Joost A.A., Schwab, Christopn, Xenophontos, Christos 2025 置信度 0.66
• Improvement of Spiking Neural Network with Bit Planes and Color Models
  Spiking neural network (SNN) has emerged as a promising paradigm in computational neuroscience and artificial intelligence, offering advantages such as low energy consumption and small memory footprint. However, their practical adoption is constrained by sever…
  datacite Luu, Nhan T., Luu, Duong T., Pham, Nam N., Truong, Thang C. 2024 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Neural and Evolutionary Computing (cs.NE)Image and Video Processing (eess.IV)FOS: Computer and information sciencesFOS: Computer and information sciences
• Hardware-Software Collaborative Computing of Photonic Spiking Reinforcement Learning for Robotic Continuous Control
  Robotic continuous control tasks impose stringent demands on the energy efficiency and latency of computing architectures due to their high-dimensional state spaces and real-time interaction requirements. Conventional electronic computing platforms face comput…
  datacite Yu, Mengting, Xiang, Shuiying, Xie, Changjian, Chen, Yonghang 等 2025 置信度 0.66 Robotics (cs.RO)Optics (physics.optics)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Physical sciences
• Hardware-aware Lightweight Photonic Spiking Neural Network for Pattern Classification
  There exists a significant scale gap between photonic neural network integrated chips and neural networks, which hinders the deployment and application of photonic neural network. Here, we propose hardware-aware lightweight spiking neural networks (SNNs) archi…
  datacite Xiang, Shuiying, Zhang, Yahui, Shi, Shangxuan, Zhao, Haowen 等 2025 置信度 0.66 Optics (physics.optics)FOS: Physical sciencesFOS: Physical sciences
• An energy-efficient spiking neural network with continuous learning for self-adaptive brain-machine interface
  The number of simultaneously recorded neurons follows an exponentially increasing trend in implantable brain-machine interfaces (iBMIs). Integrating the neural decoder in the implant is an effective data compression method for future wireless iBMIs. However, t…
  datacite Biyan, Zhou, Basu, Arindam 2025 置信度 0.66 Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Physics-Informed Spiking Neural Networks via Conservative Flux Quantization
  Real-time, physically-consistent predictions on low-power edge devices is critical for the next generation embodied AI systems, yet it remains a major challenge. Physics-Informed Neural Networks (PINNs) combine data-driven learning with physics-based constrain…
  datacite Zhang, Chi, Wang, Lin 2025 置信度 0.66 Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Biophysical Modeling of Spiking Neural Network Neurons Based on System Dynamics: An RTL-Level Abstraction Approach
  datacite Farokhi, Farzin 2023 置信度 0.66
• Hybrid SIFT-SNN for Efficient Anomaly Detection of Traffic Flow-Control Infrastructure
  This paper presents the SIFT-SNN framework, a low-latency neuromorphic signal-processing pipeline for real-time detection of structural anomalies in transport infrastructure. The proposed approach integrates Scale-Invariant Feature Transform (SIFT) for spatial…
  datacite Rathee, Munish, Bačić, Boris, Doborjeh, Maryam 2025 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences68T45, 68T07, 68U10
• Realizing Fully-Integrated, Low-Power, Event-Based Pupil Tracking with Neuromorphic Hardware
  Eye tracking is fundamental to numerous applications, yet achieving robust, high-frequency tracking with ultra-low power consumption remains challenging for wearable platforms. While event-based vision sensors offer microsecond resolution and sparse data strea…
  datacite Paredes-Valles, Federico, Miyatani, Yoshitaka, Scheper, Kirk Y. W. 2025 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• The role of network theta and alpha oscillations in sustained and selective attention in humans
  Attention is the ability to preferentially orient limited perceptual processing resources towards a specific information stream when automatic processes are insufficient (Shiffrin & Schneider, 1977). Attention has been investigated broadly within two task …
  datacite Riddle, Justin, McFerren, Amber, Walker, Christopher, Frohlich, Flavio 2020 置信度 0.66 Psychiatry and PsychologyMedicine and Health SciencesLife SciencesNeuroscience and NeurobiologySocial and Behavioral Sciences
• Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis
  Homeostatic mechanisms play a crucial role in maintaining optimal functionality within the neural circuits of the brain. By regulating physiological and biochemical processes, these mechanisms ensure the stability of an organism's internal environment, enablin…
  datacite Zhou, Yunduo, Dong, Bo, Li, Chang, Wang, Yuanchen 等 2025 置信度 0.66 Neural and Evolutionary Computing (cs.NE)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Automated Synaptic Pruning and Resource Allocation in Spiking Neural Networks for Edge-Based Neuromorphic Vision Processing
  **Abstract:** This paper introduces a novel framework for dynamically optimizing Spiking Neural Networks (SNNs) deployed on edge devices for real-time visual data analysis. Existing neuromorphic architectures face significant challenges in resource constraint …
  datacite Freederia AI Researcher 2025 置信度 0.66
• Enhanced Spiking Neural Network Inference via Dynamic Reservoir Reconfiguration and Adaptive Threshold Modulation for Time-Series Forecasting
  **Abstract:** This paper introduces a novel approach to Spiking Neural Network (SNN) inference for time-series forecasting, significantly improving prediction accuracy and efficiency. Our methodology leverages dynamic reservoir reconfiguration, adapting the re…
  datacite Freederia AI Researcher 2025 置信度 0.66
• 🤖 THE GUARDIAN HUMANOID — DEEP DIVE Executive Summary: The Embodiment of the CollectiveOS
  🤖 THE GUARDIAN HUMANOID — DEEP DIVE (Strategic + Safe) Executive Summary: The Embodiment of the CollectiveOS The transition of the CollectiveOS from a purely digital governance architecture into the physical domain represents a watershed moment in the traject…
  datacite Brewer, Mark Anthony 2025 置信度 0.66
• 🤖 THE GUARDIAN HUMANOID — DEEP DIVE Executive Summary: The Embodiment of the CollectiveOS
  🤖 THE GUARDIAN HUMANOID — DEEP DIVE (Strategic + Safe) Executive Summary: The Embodiment of the CollectiveOS The transition of the CollectiveOS from a purely digital governance architecture into the physical domain represents a watershed moment in the traject…
  datacite Brewer, Mark Anthony 2025 置信度 0.66
• Quantum-Enhanced Spiking Neural Network on FPGA for Real-Time Industrial Anomaly Detection
  This paper introduces QESNN, a complete neuromorphic hardware–software pipeline that combines a novel quantum-inspired Spike-Timing-Dependent Plasticity (Q-STDP) learning rule with a synthesizable FPGA implementation to deliver practical, low-cost edge anomaly…
  datacite Deenathayalan A, Tanushree RG, Keertana P 2025 置信度 0.66 neuromorphic computing
• RespiroDynamics Unveiled: A Groundbreaking Multi-Modal Deep Learning and Spiking Neural Network Framework for Revolutionizing Non-Invasive Lung Health Assessment
  This thesis investigates non-invasive lung health assessment using deep learning and Spiking Neural Networks (SNNs) to analyze thermal and RGB video data. Traditional respiratory diagnostics often require direct physical interaction, which can cause patient di…
  datacite Sharshar, Ahmed 2024 置信度 0.66 Computer Vision
• Self-Ensemble as Defense for Event-Based Adversarial Attack against Spiking Neural Networks
  "The brain is a world consisting of a number of unexplored continents and great stretches of unknown territory.” Santiago Ram´on y Cajal (1852–1934). In the rapidly evolving landscape of artificial intelligence, Spiking Neural Networks (SNNs) have emerged as a…
  datacite Li, Xinyu 2025 置信度 0.66 Machine Learning
• Neuromorphic Split Computing via Optical Inter-Satellite Links
  We present a neuromorphic split-computing framework for energy-efficient low-latency inference over optical inter-satellite links. The system partitions a spiking neural network (SNN) between edge and core nodes. To transmit sparse spiking features efficiently…
  datacite Song, Zihang, Popovski, Petar 2025 置信度 0.66 Image and Video Processing (eess.IV)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Mapping and Scheduling Spiking Neural Networks On Segmented Ladder Bus Architectures
  Large-scale neuromorphic architectures consist of computing tiles that communicate spikes using a shared interconnect. The communication patterns in such systems are inherently sparse, asynchronous, and localized due to the spiking nature of neural events, cha…
  datacite Huynh, Phu Khanh, Catthoor, Francky, Das, Anup 2025 置信度 0.66 Neural and Evolutionary Computing (cs.NE)FOS: Computer and information sciencesFOS: Computer and information sciences
• Neuromorphic Astronomy: An End-to-End SNN Pipeline for RFI Detection Hardware
  Imminent radio telescope observatories provide massive data rates making deep learning based processing appealing while simultaneously demanding real-time performance at low-energy; prohibiting the use of many artificial neural network based approaches. We beg…
  datacite Pritchard, Nicholas J., Wicenec, Andreas, Dodson, Richard, Bennamoun, Mohammed 等 2025 置信度 0.66 Neural and Evolutionary Computing (cs.NE)Instrumentation and Methods for Astrophysics (astro-ph.IM)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Physical sciences
• <strong>Biased field free skyrmion based neural network and reconfigurable logic operations</strong>
  Spin-texture based devices have recently gained significant attention for their potential in designing and developing logic circuits and neural networks, leading us to explore beyond conventional computing paradigms. Among various spin textures, magnetic skyrm…
  datacite Verma, Shubhi, ojha, Animesh, Medwal, Rohit, Gupta, Surbhi 等 2025 置信度 0.66 Physical sciencesFOS: Physical sciences
• MK-SGN: A Spiking Graph Convolutional Network with Multimodal Fusion and Knowledge Distillation for Skeleton-based Action Recognition
  In recent years, multimodal Graph Convolutional Networks (GCNs) have achieved remarkable performance in skeleton-based action recognition. The reliance on high-energy-consuming continuous floating-point operations inherent in GCN-based methods poses significan…
  datacite Zheng, Naichuan, Xia, Hailun, Liang, Zeyu, Du, Yuchen 2024 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• Detection of spiking motifs of arbitrary length in neural activity using bounded synaptic delays
  In the context of spiking neural networks, temporal coding of signals is increasingly preferred over the rate coding hypothesis due to its advantages in processing speed and energy efficiency. In temporal coding, synaptic delays are crucial for processing sign…
  datacite Kronland-Martinet, Thomas, Viollet, Stéphane, Perrinet, Laurent U 2025 置信度 0.66 Neurons and Cognition (q-bio.NC)FOS: Biological sciencesFOS: Biological sciences
• MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization
  The surrogate gradient (SG) method has shown significant promise in enhancing the performance of deep spiking neural networks (SNNs), but it also introduces vulnerabilities to adversarial attacks. Although spike coding strategies and neural dynamics parameters…
  datacite Jiang, Runhao, Jiang, Chengzhi, Yan, Rui, Tang, Huajin 2025 置信度 0.66 Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Supervised learning and inference of spiking neural networks with temporal coding
  The way biological brains carry out advanced yet extremely energy efficient signal processing remains both fascinating and unintelligible. It is known however that at least some areas of the brain perform fast and low-cost processing relying only on a small nu…
  datacite Stanojevic, Ana 2023 置信度 0.66 spiking neural networktemporal encodingsparse communicationefficient data classificationmultiplication-free inference
• Memristor-Based Digital Twin of Mycelium for Unconventional Computing
  Fungal mycelium is widespread in nature and stands out among Engineered Living Materials (ELMs). When stimulated, it shows intricate electrical signaling activity that with the help of digital twins can be used for sustainable computing. For its further study,…
  datacite Chatzipaschalis, Ioannis, Tompris, Ioannis, Kleitsiotis, Georgios, Chatzinikolaou, Theodoros Panagiotis 等 2025 置信度 0.66
• Memristor-Based Digital Twin of Mycelium for Unconventional Computing
  Fungal mycelium is widespread in nature and stands out among Engineered Living Materials (ELMs). When stimulated, it shows intricate electrical signaling activity that with the help of digital twins can be used for sustainable computing. For its further study,…
  datacite Chatzipaschalis, Ioannis, Tompris, Ioannis, Kleitsiotis, Georgios, Chatzinikolaou, Theodoros Panagiotis 等 2025 置信度 0.66
• Bioinspired spiking architecture enables energy constrained touch encoding
  This capsule enables the reproduction of the main results presented in the paper: "Bioinspired Spiking Architecture Enables Energy-Constrained Touch Encoding".
  datacite Ortone, Andrea, Filosa, Mariangela, Indiveri, Giacomo, Desoli, Giuseppe 等 2025 置信度 0.66 CapsuleEngineeringTactile PerceptionSpiking neural networkenergy efficient AI
• Privacy-Preserving Spiking Neural Networks: A Deep Dive into Encryption Parameter Optimisation
  Deep learning is widely applied to modern problems through neural networks, but the growing computational and energy demands of these models have driven interest in more efficient approaches. Spiking Neural Networks (SNNs), the third generation of neural netwo…
  datacite Pulivathi, Mahitha, Rodrigues, Ana Fontes, Ihianle, Isibor Kennedy, Oikonomou, Andreas 等 2025 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• A Closer Look at Knowledge Distillation in Spiking Neural Network Training
  Spiking Neural Networks (SNNs) become popular due to excellent energy efficiency, yet facing challenges for effective model training. Recent works improve this by introducing knowledge distillation (KD) techniques, with the pre-trained artificial neural networ…
  datacite Liu, Xu, Xia, Na, Zhou, Jinxing, Xu, Jingyuan 等 2025 置信度 0.66 Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• IzhiRISC-V -- a RISC-V-based Processor with Custom ISA Extension for Spiking Neuron Networks Processing with Izhikevich Neurons
  Spiking Neural Network processing promises to provide high energy efficiency due to the sparsity of the spiking events. However, when realized on general-purpose hardware -- such as a RISC-V processor -- this promise can be undermined and overshadowed by the i…
  datacite Szczerek, Wiktor J., Podobas, Artur 2025 置信度 0.66 Neural and Evolutionary Computing (cs.NE)Hardware Architecture (cs.AR)FOS: Computer and information sciencesFOS: Computer and information sciences
• A hybrid spiking neural network - quantum framework for spatio-temporal data classification: a case study on EEG data
  Abstract The study introduces a hybrid computational framework that combines neuro-inspired information processing using spiking neural networks (SNNs) and quantum information processing using quantum kernels to develop quantum-enhanced machine learning models…
  datacite Jha, Ravi Kumar, Kasabov, Nikola, Bhattacharyya, Saugat, Coyle, Damien 等 2025 置信度 0.66 StatisticsFOS: MathematicsArtificial Intelligence and Image ProcessingFOS: Computer and information sciences
• A hybrid spiking neural network - quantum framework for spatio-temporal data classification: a case study on EEG data
  Abstract The study introduces a hybrid computational framework that combines neuro-inspired information processing using spiking neural networks (SNNs) and quantum information processing using quantum kernels to develop quantum-enhanced machine learning models…
  datacite Jha, Ravi Kumar, Kasabov, Nikola, Bhattacharyya, Saugat, Coyle, Damien 等 2025 置信度 0.66 StatisticsFOS: MathematicsArtificial Intelligence and Image ProcessingFOS: Computer and information sciences
• Design of a Simply Sufficient Leaky Integrate-and-Fire Neuron in 22nm FDSOI
  In this thesis the design process of a simply sufficient leaky-integrate and fire (LIF) neuron is discussed to examine how much precision is needed in a hardware design. Therefore, variations of hardware parameters are analyzed and then the impact of the varia…
  datacite Kocyigit, Ali Onur, :unav 2025 置信度 0.66
• Neuromorphic Event–LiDAR–IMU Dataset for SLAM Applications
  This release provides the Neuromorphic Event–LiDAR–IMU dataset sequences: • lab_indoor.zip — Controlled indoor lab sequence (159 MB) • b5_indoor.zip — Indoor building 5 sequence (551 MB) • b5_outdoor.zip — Outdoor building 5 route (445 MB) • carpark_outdoor.zi…
  datacite Tenzin, Sangay 2025 置信度 0.66 event cameraspiking neural networkSLAMLiDARIMU
• Neuromorphic Event–LiDAR–IMU Dataset for SLAM Applications
  This release provides the Neuromorphic Event–LiDAR–IMU dataset sequences: • lab_indoor.zip — Controlled indoor lab sequence (159 MB) • b5_indoor.zip — Indoor building 5 sequence (551 MB) • b5_outdoor.zip — Outdoor building 5 route (445 MB) • carpark_outdoor.zi…
  datacite Tenzin, Sangay 2025 置信度 0.66 event cameraspiking neural networkSLAMLiDARIMU
• Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail
  datacite Luu, Nhan 2025 置信度 0.66
• Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail
  datacite Luu, Nhan 2025 置信度 0.66
• Learning sequence timing and controlling recall speed in networks of spiking neurons
  Processing sequential inputs is a fundamental aspect of brain function, underlying tasks such as sensory perception, reading, and mathematical reasoning. At the core of the cortical algorithm, sequence processing involves learning the order and timing of eleme…
  datacite Lober, Melissa, Bouhadjar, Younes, Diesmann, Markus, Tetzlaff, Tom 2025 置信度 0.66
• Spiking Neural Networks for Detecting Satellite-Based Internet-of-Things Signals
  With the rapid growth of IoT networks, ubiquitous coverage is becoming increasingly necessary. Low Earth Orbit (LEO) satellite constellations for IoT have been proposed to provide coverage to regions where terrestrial systems cannot. However, LEO constellation…
  datacite Dakic, Kosta, Homssi, Bassel Al, Walia, Sumeet, Al-Hourani, Akram 2023 置信度 0.66 Information Theory (cs.IT)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks
  Inspired by the brain's spike-based computation, spiking neural networks (SNNs) inherently possess temporal activation sparsity. However, when it comes to the sparse training of SNNs in the structural connection domain, existing methods fail to achieve ultra-s…
  datacite Hua, Yuan, Zhang, Jilin, Zhang, Yingtao, Gu, Wenqi 等 2025 置信度 0.66 Neural and Evolutionary Computing (cs.NE)FOS: Computer and information sciencesFOS: Computer and information sciences
• SPAD Image Sensors with Embedded Intelligence
  Single-photon avalanche diodes (SPADs) are solid-state photodetectors that can detect individual photons with picosecond timing precision, enabling powerful time-resolved imaging across scientific, industrial, and biomedical applications. Despite their unique …
  datacite Lin, Yang 2025 置信度 0.66 single-photon avalanche diode (SPAD)image sensorartificial intelligence (AI)embedded AIdeep learning
• Quantum-Bio-Hybrid Paradigm III: Cross-Domain Implementation and Neuromorphic Realization
  This paper establishes the hardware realization of the Quantum–Bio–Hybrid (QB-H) paradigm, extending the previously defined retrocausal learning rule (ΔR) to a neuromorphic platform. The proposed system integrates human intention (MBCI) as a positive reinforce…
  datacite Konishi, Hiroko, Gemini AI 2025 置信度 0.66 Quantum-Bio-Hybrid AGI, Retrocausal Learning, Neuromorphic Hardware, FPGA, BCI, Ethical Control, Moral State Interrupter (MSI), Synthesis Intelligence
• Travelling waves modulated by subthreshold oscillations in networks of integrate-and-fire neurons
  Travelling waves of neural firing activity are observed in brain tissue as a part of various sensory, motor and cognitive processes. They represent an object of major interest in the study of excitable networks, with analysis conducted in both neural field mod…
  datacite Kerr, Henry D. J., Ashwin, Peter, Wedgwood, Kyle C. A. 2025 置信度 0.66 Neurons and Cognition (q-bio.NC)FOS: Biological sciencesFOS: Biological sciences92B20 (Primary) 92C42, 65D15, 65P30 (Secondary)
• A High-Throughput Spiking Neural Network Processor Enabling Synaptic Delay Emulation
  Synaptic delay has attracted significant attention in neural network dynamics for integrating and processing complex spatiotemporal information. This paper introduces a high-throughput Spiking Neural Network (SNN) processor that supports synaptic delay-based e…
  datacite Chen, Faquan, Tian, Qingyang, Wu, Ziren, Ying, Rendong 等 2025 置信度 0.66 Neural and Evolutionary Computing (cs.NE)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Event-Driven Implementation of a Physical Reservoir Computing Framework for superficial EMG-based Gesture Recognition
  Wearable health devices have a strong demand in real-time biomedical signal processing. However traditional methods often require data transmission to centralized processing unit with substantial computational resources after collecting it from edge devices. N…
  datacite Ding, Yuqi, Donati, Elisa, Li, Haobo, Heidari, Hadi 2025 置信度 0.66 Signal Processing (eess.SP)Artificial Intelligence (cs.AI)Neural and Evolutionary Computing (cs.NE)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Structured PREreview of "A Practical Tutorial on Spiking Neural Networks: Comprehensive Review, Models, Experiments, Software Tools, and Implementation Guidelines"
  This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/17547571. Does the introduction explain the objective of the research presented in the preprint? Yes The intro…
  datacite Ronke Lawal 2025 置信度 0.66 Requested PREreviewStructured PREreview
• Structured PREreview of "A Practical Tutorial on Spiking Neural Networks: Comprehensive Review, Models, Experiments, Software Tools, and Implementation Guidelines"
  This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/17547571. Does the introduction explain the objective of the research presented in the preprint? Yes The intro…
  datacite Ronke Lawal 2025 置信度 0.66 Requested PREreviewStructured PREreview
• Future Outlooks and Directions
  crossref Elliot Kisiel 2026-02-19T17:21:55Z 置信度 0.70
• Neuromorphic Radar Sensing with the Spiking Locally Competitive Algorithm
  crossref Mehdi Heshmati, Zoran Utkovski, Alfonso Yamamoto, Patrick Agostini 等 2026-07-14T19:38:09Z 置信度 0.70
• Event-Driven Neuromorphic Near-Field Radar Imaging
  crossref Ayush Jha, Abijith Jagannath Kamath, Chandra Sekhar Seelamantula, Ch. V. Narasimha Rao 等 2026-04-21T21:23:31Z 置信度 0.70
• Sequential analysis and its applications to neuromorphic engineering
  Introduction: Neuromorphic circuits operate by comparing fluctuating signals to thresholds. This operation underpins sensing and computation in both neuromorphic architectures and biological nervous systems. Rigorous analysis of such systems is rarely attempte…
  crossref Shivaram Mani, Saeed Afshar, Travis Monk 2026-01-09T06:38:01Z 置信度 0.70
• Development of neuromorphic event-based imaging spectroscopy for hypersonic flight observation
  crossref Tamara Sopek, Fabian Zander, Byrenn Birch, David Buttsworth 2025-11-08T02:06:45Z 置信度 0.70
• Integration of neuromorphic chips at the system level
  crossref Shaibal Mukherjee 2026-01-06T11:25:25Z 置信度 0.70
• Neuromorphic Directional Motion Detector
  crossref Ianislav Trendafilov 2026-08-09T22:45:52Z 置信度 0.70
• A Bidirectional Neural Interface With Direct On-Device Neuromorphic Decoding for Closed-Loop Optogenetics
  Abstract Bidirectional interfaces combined with neural de-coding algorithms are essential for closed-loop (CL) neuromodulation, enabling simultaneous neural monitoring and responsive optogenetic stimulation. However, implementing these capabilities in compact …
  crossref G. Bilodeau, A. Miao, G. Gagnon-Turcotte, C. Ethier 等 2026-03-28T10:15:16Z 置信度 0.70
• Redox-Controlled Charge Localization and Hopping Transport in BBL for Neuromorphic Electronics
  Neuromorphic electronic materials seek to emulate synaptic functionality by exhibiting conductivity that depends on redox history, ionic environment, and charge localization, rather than solely on band-like transport. Such behavior is naturally realized in ele…
  crossref Maryam Ghotbi, Alejandro Aviles Sanchez, Perla B. Balbuena 2026-07-16T07:37:35Z 置信度 0.70
• From commercial to emerging memory: Device and circuit perspectives for neuromorphic computing
  crossref Ryun-Han Koo, Sung-Ho Park, Jonghyun Ko, Jiseong Im 等 2025-10-15T19:45:36Z 置信度 0.70
• Neuromorphic sensing and computing in a versatile thermally grown Fe–W–O–S nanocomposite memristor
  crossref Muhammad Ismail, Junhyuk Park, Maria Rasheed, Chandreswar Mahata 等 2026-03-16T06:23:29Z 置信度 0.70
• NeurOptimiser: A General Framework for Neuromorphic Optimisation
  crossref Jorge M. Cruz-Duarte, El-Ghazali Talbi 2026-01-30T10:47:54Z 置信度 0.70
• Flexible electrolyte-gated oxide transistors for synaptic memory and neuromorphic computing
  Flexible neuromorphic hardware integrating learning, memory, and reliable information processing is crucial for next-generation wearable electronics and artificial intelligent systems. Here, we developed flexible electrolyte-gated oxide transistors (EGOTs) for…
  crossref Ayesha Touqeer, Muhammad Irfan Sadiq, Zhenhao Chen, Muhammad Zahid 等 2026-07-23T08:00:47Z 置信度 0.70
• Decision letter for "Multi-objective Bayesian Optimization with Human-in-the-Loop for Flexible Neuromorphic Electronics Fabrication"
  crossref 2026-01-07T21:09:36Z 置信度 0.70
• NeuroSnitch: Exploiting Inter-Spike Interval Statistics for Timing Side-Channel Attacks on Noisy Neuromorphic Systems
  crossref Mahreen Khan, Maria Mushtaq, Ludovic Apvrille 2026-05-14T11:06:32Z 置信度 0.70
• Exploring bioplausible neuromorphic hardware with silicon microresonators
  crossref Stefano Biasi, Lorenzo Pavesi 2026-05-27T18:24:57Z 置信度 0.70
• Resistive switching and synaptic functionality in vanadium-doped gallium oxide-based memristors for neuromorphic and multi-bit reservoir computing
  crossref Ashish Kumar, Shahid Iqbal, Junmo Kim, Hyumin Dang 等 2026-05-18T08:01:15Z 置信度 0.70
• Robust Diffractive Optical Neuromorphic System Created via Sharpness-Aware and Immune Training
  Diffractive deep neural networks (D2NNs) have garnered significant attention for their ultra-low energy consumption and parallel optical computing capabilities. However, their practical deployment is hindered by the “model–reality” gap caused by fabrication in…
  crossref Fansanqiu Li, Kaicheng Yang 2026-02-02T09:00:33Z 置信度 0.70
• NeuroSleep: neuromorphic event-driven single-channel EEG sleep staging for edge-efficient sensing
  Abstract Objective . Reliable, continuous neural sensing on wearable edge platforms is fundamental to long-term health monitoring; however, for electroencephalography (EEG)-based sleep monitoring, dense high-frequency processing is often computationally prohib…
  crossref Boyu Li, Xingchun Zhu, Yonghui Wu 2026-03-24T22:56:26Z 置信度 0.70
• Hafnia‐based Materials for Neuromorphic Devices
  crossref Hai Zhong, Kui‐juan Jin, Chen Ge 2026-04-29T10:49:46Z 置信度 0.70
• Cross-Platform Federated Learning: Unifying Neuromorphic and Traditional Hardware for Efficient Edge AI
  crossref Muhammad Waleed Khan, Alois Ferscha 2026-08-12T19:20:01Z 置信度 0.70
• MemNeuron: Locally Active Memristor-Based Compute-in-Memory Architecture with Spike-Timing-Dependent Plasticity for Neuromorphic Intelligence
  crossref Guoshu Cheng 2026-05-01T19:51:20Z 置信度 0.70
• Wavelength-decoupled photonic memristor for neuromorphic systems
  Abstract Photonic memristors based on phase-change materials can provide non-volatile optical weights for neuromorphic hardware, but practical devices often suffer from read-disturbance, inefficient optical heating, and iterative empirical optimization. Here, …
  crossref Kameyab Raza Abidi, Gour Mohan Das 2026-05-15T22:49:04Z 置信度 0.70
• Beyond Sight: Neuromorphic Synapses Triggered by Invisible Light
  ABSTRACT Neuromorphic devices that emulate biological synaptic behavior are emerging as key enablers for in‐sensor intelligence. While visible‐light‐responsive systems have dominated the field, recent efforts have expanded toward invisible spectral regions: ul…
  crossref Jisoo Park, Kyounghoon Kim, Eun Kwang Lee, Young‐Joon Kim 等 2026-01-08T11:08:21Z 置信度 0.70
• Neuromorphic Opto-Electronics for Next-Generation Compute: Opportunities &amp; Challenges
  Every computational task, from basic arithmetic to the training of sophisticated language models, relies on translating high-level software instructions into sequences of charge manipulations in silicon. This translation becomes increasingly inefficient when a…
  crossref Nikolaos Farmakidis 2026-05-12T14:23:14Z 置信度 0.70
• A Survey on Neuromorphic Navigation: Implementation Resources, Challenges and Perspectives
  Although traditional navigation technologies have seen continued progress, they remain constrained by persistent issues such as high power consumption, significant latency, and limited dynamic adaptability, especially in challenging environments like urban can…
  crossref Youdong Zhang, Xu He, Xiaolin Meng, Xiangdong AN 等 2026-02-06T19:26:23Z 置信度 0.70
• Quantifying the Impact of Spike-Level Explainable AI on Human Trust and Performance in Neuromorphic Systems
  crossref Sylvester Kaczmarek 2026-08-12T19:09:22Z 置信度 0.70
• A Hybrid Data-Driven Framework for Post-Silicon Validation of Neuromorphic Integrated Circuits
  crossref Kalyana Sundaram Chandran, Senthilkumar Dhamodharan, Sindhu Mathy S 2026-08-18T19:13:44Z 置信度 0.70
• A neuromorphic hybrid spiking-CNN model for emotion recognition in low-resource Kannada speech
  Abstract Accurately recognizing human emotions from speech is becoming increasingly important for advancing intelligent and adaptive technologies. Yet, many existing Speech Emotion Recognition (SER) models continue to struggle with suboptimal accuracy, limitin…
  crossref Audre Arlene Anthony, Chandrashekar M Patil 2026-02-06T22:52:31Z 置信度 0.70
• Toward Neuromorphic Diagnostics: Memristors in Noncommunicable Disease Detection and Sensory Emulation
  Emerging materials‐based devices are revolutionizing healthcare by advancing diagnostics, monitoring, and therapeutic strategies. Among them, memristor devices capable of storing and processing information are attracting and receiving significant attention for…
  crossref Debashis Panda, Arpan Acharya, Subhrakali Swain, Cheng‐Yao Lo 2026-02-14T16:09:02Z 置信度 0.70
• Hardware-Aware Attractor Dynamics in Neuromorphic Systems: Compensating for Device Mismatch through Network Design
  crossref Leonardo Martinelli, Chiara De Luca, Giacomo Indiveri 2026-06-18T20:06:41Z 置信度 0.70
• FPGA-Based Implementation of a Full LIF Spiking Neural Network for Neuromorphic Computation
  crossref Surekha Musali, Amar Babu Yandrapati, K Babul 2026-05-12T19:46:54Z 置信度 0.70
• VO ₂ Nanoparticle‐Densely Packed Microwires for Flexible and Energy‐Efficient Photonic Synapses in Neuromorphic Computing
  ABSTRACT The growing demand for brain‐inspired computing in wearable electronics necessitates systems with high mechanical stability, biocompatibility, and low‐power processing. However, most existing neuromorphic technologies suffer from limited flexibility, …
  crossref Yang Wang, Guang Zu, Xin Chen, Shun‐Xin Li 等 2026-05-08T12:16:09Z 置信度 0.70
• Recent progress in infrared quantum dots for photodetectors and neuromorphic applications
  crossref Haoyuan Li, Kuilin Li, Qi Nie, Xiao Luo 等 2026-06-17T01:59:07Z 置信度 0.70
• Neuromorphic Hyperdimensional Computing for Efficiently Processing Event-Based Data
  crossref Tianyang Yu, Bi Wu, Ke Chen, Chenggang Yan 等 2026-06-11T20:04:27Z 置信度 0.70
• Artificial Synaptic Devices Based on P-type and N-type Organic Materials for Advanced Neuromorphic Computing
  crossref Beomjun Kim, Geun Yeol Bae, Eunho Lee 2025-11-13T02:17:47Z 置信度 0.70
• Spiking Neural Networks for Neuromorphic Brain Age Modeling Using Structural MRI
  crossref Jangam Subbarayudu, G. Michael, V. Sheeja Kumari 2026-07-07T19:42:05Z 置信度 0.70
• Advances in flexible perovskite memristors for neuromorphic electronics
  Abstract The rapid growth toward digitization and artificial intelligence for high-performance storage technologies has spurred the development of brain-inspired neuromorphic electronics. In the post-Moore era, the conventional von Neumann computing architectu…
  crossref Shuanglong Wang, Aqiang Liu, Hao Wu, Jiangnan Xia 等 2025-10-29T22:48:40Z 置信度 0.70
• Trustworthy Neuromorphic and Quantum Machine Learning: Challenges and Emerging Directions
  crossref Alberto Marchisio, Muhammad Shafique 2026-08-04T19:13:24Z 置信度 0.70