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• A New Model of the Neuron for Biological Spiking Neural Network Suitable for Parallel Data Processing Realized in Hardware
  The paper presents a modification of the structure of a biological neural network (BNN) based on spiking neuron models. The proposed modification allows to influence the level of the stimulus response of particular neurons in the BNN. We consider an extended, …
  crossref Aleksandra Świetlicka, Karol Gugała, Marta Kolasa, Jolanta Pauk 等 2013-03-25T14:43:16Z 置信度 0.70
• Physical Unclonable Function in Spiking Neural Network Based on in-Te Ovonic Threshold Switching Devices
  crossref Huan Wang, Qihang Zhu, Hengyi Hu, Yi Li 等 2025-06-30T17:36:02Z 置信度 0.70
• Knowledge Distill for Spiking Neural Networks
  crossref Xiubo Liang, Ge Chao, Mengjian Li, Yijun Zhao 2024-09-09T17:35:05Z 置信度 0.70
• A Spiking Neural Network for Visual Color Feature Classification for Pictures with RGB-HSV Model
  crossref Hui Liang, Jianxing Wu, Ran Wang, Feng Liang 等 2020-04-24T01:28:20Z 置信度 0.70
• Efficient Spiking Neural Networks for Accurate and Real-Time ECG Classification
  crossref Liwei Meng, Ning Ning, Ruichen Ma, Guanchao Qiao 等 2026-05-15T02:40:33Z 置信度 0.70
• GGT-SNN: Graph learning and Gaussian prior integrated spiking graph neural network for event-driven tactile object recognition
  crossref Jing Yang, Zukun Yu, Shaobo Li, Yang Cao 等 2024-06-09T13:52:29Z 置信度 0.70
• Time-Multiplexed Spiking Convolutional Neural Network Based on VCSELs for Unsupervised Image Classification
  In this work, we present numerical results concerning a multilayer “deep” photonic spiking convolutional neural network, arranged so as to tackle a 2D image classification task. The spiking neurons used are typical two-section quantum-well vertical-cavity surf…
  crossref Menelaos Skontranis, George Sarantoglou, Stavros Deligiannidis, Adonis Bogris 等 2021-02-03T11:54:31Z 置信度 0.70
• A Minimal Spiking Neural Network to Rapidly Train and Classify Handwritten Digits in Binary and 10-Digit Tasks
  crossref Amirhossein Tavanaei, Anthony S. 2015-08-10T13:22:24Z 置信度 0.70
• GSASN: a graph self-learning attention scores network for spatial modeling of network traffic matrix prediction
  crossref Juan Wu, Chensheng Tong, Jinsong Hu, Hong Tang 2026-02-20T00:18:11Z 置信度 0.70
• Skyrmionic implementation of Spike Time Dependent Plasticity (STDP) enabled Spiking Neural Network (SNN) under supervised learning scheme
  crossref Upasana Sahu, Kushaagra Goyal, Utkarsh Saxena, Tanmay Chavan 等 2020-01-03T00:49:11Z 置信度 0.70
• Human gesture recognition for robot partners by spiking neural network and classification learning
  crossref Janos Botzheim, Takenori Obo, Naoyuki Kubota 2013-04-26T23:28:32Z 置信度 0.70
• Spiking Neural Network Equalizer With Fast and Low Power Decoding for IM/DD Optical Communication
  crossref Shuangxu Li, Georg Böcherer, Stefano Calabrò, Maximilian Schädler 2024-07-08T17:51:52Z 置信度 0.70
• Accurate and Efficient Event-Based Semantic Segmentation Using Adaptive Spiking Encoder–Decoder Network
  crossref Rui Zhang, Luziwei Leng, Kaiwei Che, Hu Zhang 等 2024-08-23T13:56:00Z 置信度 0.70
• A Reconfigurable Silicon Transistor for Noise-Resilient Stochastic Spiking Neural Networks
  crossref 2025-11-07T11:00:53Z 置信度 0.70
• Energy-Efficient and Dequantization-Free Quantization of LLMs: A Spiking Neural Network Approach to Salient Value Mitigation
  crossref Chenyu Wang, Zhanglu Yan, Zhi Zhou, Xu Chen 等 2026-04-09T21:54:39Z 置信度 0.70
• Evolving Connectivity for Recurrent Spiking Neural Networks
  crossref Guan Wang, Yuhao Sun, Sijie Cheng, Sen Song 2026-03-02T13:18:04Z 置信度 0.70
• Reinforcement learning in a spiking neural network with memristive plasticity
  crossref Danila Vlasov, Roman Rybka, Alexander Sboev, Alexey Serenko 等 2022-11-03T22:16:08Z 置信度 0.70
• A Spiking Neural Network Emulating the Structure of the Oculomotor System Requires No Learning to Control a Biomimetic Robotic Head
  crossref Praveenram Balachandar, Konstantinos P. Michmizos 2020-10-15T16:05:32Z 置信度 0.70
• Cerebellum involvement in dystonia: insights from a spiking neural network model during associative learning
  crossref Alice Geminiani, Aurimas Mockevicius, Egidio D'Angelo, Claudia Casellato 2022-09-08T16:02:05Z 置信度 0.70
• A Preprocessing Layer in Spiking Neural Networks – Structure, Parameters, Performance Criteria
  crossref Mikhail Kiselev, Andrey Lavrentyev 2019-10-01T03:44:32Z 置信度 0.70
• A Deep Convolutional Spiking Neural Network for embedded applications
  Abstract Deep neural networks (DNNs) have received a great deal of interest in solving everyday tasks in recent years. However, their computational and energy costs limit their use on mobile and edge devices. The neuromorphic computing approach called spiking …
  crossref Amirhossein Javanshir, Thanh Thi Nguyen, M. A. Parvez Mahmud, Abbas Z. Kouzani 2024-03-13T18:43:26Z 置信度 0.70
• Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition
  crossref Man Yao, Hengyu Zhang, Guangshe Zhao, Xiyu Zhang 等 2023-07-19T22:19:58Z 置信度 0.70
• Reducing Data Transfer for Scalable Graph Neural Network Training
  crossref Xin Zhang 2026-05-26T12:43:59Z 置信度 0.70
• Spatial spiking neural network for classification of EEG signals for concealed information test
  crossref Damoder Reddy Edla, Annushree Bablani, Saugat Bhattacharyya, Ramesh Dharavath 等 2024-03-04T09:02:43Z 置信度 0.70
• Prediction of tinnitus masking benefit within a case series using a spiking neural network model
  crossref 2020-10-01T01:49:12Z 置信度 0.70
• High-Accuracy and Energy-Efficient Action Recognition with Deep Spiking Neural Network
  crossref Jingren Zhang, Jingjing Wang, Xie Di, Shiliang Pu 2023-04-12T04:03:04Z 置信度 0.70
• Symmetrized and Perturbed Hyperbolic Tangent Neural Network Multivariate Approximation over Infinite Domains
  crossref George A. Anastassiou 2026-02-14T08:42:11Z 置信度 0.70
• Are probabilistic spiking neural networks suitable for reservoir computing?
  crossref Stefan Schliebs, Ammar Mohemmed, Nikola Kasabov 2011-10-06T13:24:17Z 置信度 0.70
• Spiking perceptrons
  crossref P. Rowcliffe, Jianfeng Feng, H. Buxton 2006-05-12T15:09:56Z 置信度 0.70
• Silicon-Based Integrated Diffractive Optical Neural Network Model
  crossref Tingzhao Fu 2026-01-01T23:28:12Z 置信度 0.70
• GeoScatt-GNN: A geometric scattering transform-based graph neural network model for Ames mutagenicity prediction
  crossref Abdeljalil Zoubir, Badr Missaoui 2025-10-17T09:50:11Z 置信度 0.70
• Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning
  Abstract In this work, we target the efficient implementation of spiking neural networks (SNNs) for low-power and low-latency applications. In particular, we propose a methodology for tuning SNN spiking activity with the objective of reducing computation cycle…
  crossref Francesco Barchi, Emanuele Parisi, Luca Zanatta, Andrea Bartolini 等 2024-08-01T17:02:33Z 置信度 0.70
• A new hybrid learning control system for robots based on spiking neural networks
  crossref Vahid Azimirad, S. Yaser Khodkam, Amir Bolouri 2024-08-23T12:39:45Z 置信度 0.70
• Spiking Neural P Systems for Time Series Analysis
  crossref Jun Wang, Hong Peng 2025-11-28T07:11:02Z 置信度 0.70
• Sampling-driven training of deep belief networks using a coherent Ising machine with spiking neural network
  crossref Xing-Yu Wu, Chen-Rui Fan, Yusen Wu, Chuan Wang 2026-02-24T23:48:53Z 置信度 0.70
• Spiking Neural P Systems with Weights and Delays on Synapses
  Spiking neural P systems with weights (WSN P systems, in short) are neural computing devices with a bio-inspired design, which imitate communications between two neighbors and changes of potentials on cells. In this work, a novel kind of spiking neural-like P …
  crossref Yanyan Li, bosheng song, Xiangxiang Zeng 2022-04-28T23:54:10Z 置信度 0.70
• Efficient durian sugar content grading via hyperspectral imaging and fast continuous wavelet transform and spiking neural network framework
  crossref Xing Qin, Xiaoheng Zhang, Chenxiao Lai, Hanliang Liang 等 2026-02-25T09:35:42Z 置信度 0.70
• Underwater acoustic communication signal recognition based on dual-branch spiking neural networks
  crossref Yi Fang, Minyan Huang, Yan Gong, Li Ma 等 2026-04-14T06:04:20Z 置信度 0.70
• Rapid Neural Synchronization: From Spiking Cells to Synfire Webs
  crossref Andreas V. M. Herz 2011-12-02T17:56:49Z 置信度 0.70
• Spiking Neural Network Based on Bidirectional Variational Anomaly Detection for Knowledge Tracing
  crossref Jinru Hu, Mingkun Chen, Yige Zhu, Jianrui Chen 2025-10-18T18:28:18Z 置信度 0.70
• Stock Price Manipulation Detection using Spiking Neural Networks
  crossref Ammar Belatreche, Obiye Ada-Ibrama, Baqar Rizvi 2024-09-09T17:35:05Z 置信度 0.70
• Toward Unified Hybrid Simulation Techniques for Spiking Neural Networks
  In the field of neural network simulation techniques, the common conception is that spiking neural network simulators can be divided in two categories: time-step-based and event-driven methods. In this letter, we look at state-of-the art simulation techniques …
  crossref Michiel D'Haene, Michiel Hermans, Benjamin Schrauwen 2014-03-31T22:39:14Z 置信度 0.70
• Clustering with spiking neurons
  crossref I. Opher 2005-11-14T15:27:57Z 置信度 0.70
• Inspired by nature: timescale-free and grid-free event-based computing with spiking neural networks
  crossref Ting Ting Gibson 2018-10-07T23:03:32Z 置信度 0.70
• Spiking neural oscillators
  crossref Y. Kuroe, T. Mori 2003-06-26T15:35:00Z 置信度 0.70
• CrossModal-associated-SNN: multi-channel spiking neural networks with clustering and associative learning
  europepmc Lingfei Mo, Xin Liu, Mengting Tang 2026 置信度 0.80
• Half-precision Floating Point on Spiking Neural Networks Simulations in FPGA
  crossref Carolina Zambelli, Joao Ranhel 2018-10-19T22:25:09Z 置信度 0.70
• A Multiscale Resonant Spiking Neural Network for Music Classification
  crossref Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang 等 2024-09-16T13:02:55Z 置信度 0.70
• Analyzing The Efficiency of Spiking Neural Networks in Real -Time Edge Computing Applications
  This study investigates the efficiency of Spiking Neural Networks (SNNs) compared to traditional neural network architectures—Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Fully Connected Neural Networks (FCNNs)—in real-time edge …
  crossref Sowmya Ragipani, Muneeb Bushra, Shravani Yerraginnela 2026-05-06T05:46:22Z 置信度 0.70
• Spiking Attention Network: A Hybrid Neuromorphic Approach to Underwater Acoustic Localization and Zero-Shot Adaptation
  crossref Quoc Thinh Vo, David K. Han 2026-04-21T21:24:02Z 置信度 0.70
• Relational and Analogical Reasoning with Spiking Neural Networks
  Raven's Progressive Matrices (RPMs) have been widely used for measuring abstract reasoning and intelligence in humans. However for artificial learning systems, abstract reasoning remains a challenging problem. This paper investigates the potential of biologica…
  crossref Rollin Omari, R I Mckay, Tom Gedeon, Kerry Taylor 2024-06-12T16:25:30Z 置信度 0.70
• Asynchronous Spiking Neural P Systems with Anti-Spikes
  crossref Tao Song, Xiangrong Liu, Xiangxiang Zeng 2014-08-18T11:16:38Z 置信度 0.70
• End-to-End Spiking Neural Network for Speech Recognition Using Resonating Input Neurons
  crossref Daniel Auge, Julian Hille, Felix Kreutz, Etienne Mueller 等 2021-09-10T08:02:49Z 置信度 0.70
• Improved bounding box segmentation technique for crowd anomaly detection with optimal trained convolutional neural network
  crossref Rohini P.S, Sowmy I 2025-03-12T03:37:57Z 置信度 0.70
• Astrocytes Enhance Image Representation Encoded in Spiking Neural Network
  crossref Sergey Stasenko, Victor Kazantsev 2022-10-18T14:04:21Z 置信度 0.70
• Federated Forecasting of Urban Traffic Congestion with Graph Neural Network and Attention-Based Recurrent Neural Network
  crossref Javier Rodrigues, Sukhjit Singh Sehra 2026-07-29T19:12:32Z 置信度 0.70
• LENS-Net: Low-energy spiking neural network for remote sensing saliency
  crossref Longlong Zhai, Marcin Pietroń, Roberto Corizzo, Zhaoru Guo 等 2026-06-03T08:12:33Z 置信度 0.70
• Physics-Informed Neural Network Neural Network Modeling and Optimization of Fin-Embedded Heat Sink Using NVIDIA PhysicsNeMo
  crossref Edward Oliver Teng, Chung-Gang Li, Heng-Chuan Kan 2026-01-26T16:23:09Z 置信度 0.70
• Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
  crossref Taslim Murad, Prakash Chourasia, Sarwan Ali, Avais Jan 等 2025-10-31T12:17:34Z 置信度 0.70
• A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer’s Disease EEG Data
  crossref Elisa Capecci, Francesco Carlo Morabito, Maurizio Campolo, Nadia Mammone 等 2015-06-05T08:55:38Z 置信度 0.70
• Detection of spiking motifs of arbitrary length in neural activity using bounded synaptic delays.
  europepmc 2026 置信度 0.80
• The role of inhibition in modeling decision making with spiking neural networks.
  Decision making (DM) requires coordination of elementary information processes subserved by a distributed network of brain areas. Computational models help to understand these processes, but most of the existing models focus on simulating only one of the many …
  europepmc Bartłomiej Król-Józaga, Peter Duggins, Anna Broniec-Wójcik, Szymon Wichary 2026 置信度 0.80
• SAD-SNN: Spatial-Activation Distillation for High-Performance Spiking Neural Networks.
  europepmc 2026 置信度 0.80
• Twin Network Augmentation: A Novel Training Strategy for Improved Spiking Neural Networks and Weight Quantization.
  europepmc 2026 置信度 0.80
• A Fair Energy Comparison of Spiking and Artificial Neural Networks on a General-Purpose Microcontroller.
  europepmc 2026 置信度 0.80
• Combining sampling and attractor dynamics in spiking models of head direction systems.
  Neural populations can maintain stable representations of navigation-related variables while integrating uncertain sensory signals. Experimental evidence showed that the precision of head-direction (HD) representations in flies and mice depends on the reliabil…
  europepmc 2026 置信度 0.80
• Spiking neurons as predictive controllers of linear systems.
  europepmc 2026 置信度 0.80
• Sparse Coding and Temporal Pattern Learning Co-Mediated by Dual Spike-Timing-Dependent Plasticity in a Multilayer Excitatory-Inhibitory Spiking Network.
  europepmc 2026 置信度 0.80
• Entropy, Inhibition and Memory in Balanced Spiking Reservoirs.
  europepmc 2026 置信度 0.80
• MPLIF: Multi-parametric leaky integrate-and-fire neuron for spiking neural networks.
  Spiking Neural Networks (SNNs) have garnered significant attention due to their ability to process temporal information efficiently with low power consumption and high biological plausibility. In prevailing SNNs, spiking neuron models play a crucial role and h…
  europepmc 2026 置信度 0.80
• Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media.
  europepmc 2026 置信度 0.80
• General aspects of internal noise in spiking neural networks.
  This study examines the impact of additive and multiplicative noise on both a single leaky integrate-and-fire neuron and a trained spiking neural network (SNN). Noise was introduced at different stages of neural processing, including the input current, membran…
  europepmc I. D. Kolesnikov, D. A. Maksimov, V. M. Moskvitin, N. Semenova 2026 置信度 0.80
• Learning Dynamics in Biophysical Spiking Network Models Are Shaped by KCC2/NKCC1 Cotransporter Stoichiometry.
  europepmc 2026 置信度 0.80
• Quantitative analysis of Raman data of pesticide from real sample based on spiking neural networks.
  europepmc 2026 置信度 0.80
• Efficient High-Frequency Event-Based Optical Flow with Temporal Iterative Refinement and Spiking Neural Networks.
  europepmc 2026 置信度 0.80
• A genetic algorithm for self-supervised models of oscillatory neurodynamics.
  europepmc 2026 置信度 0.80
• Enhancing spiking transformers with temporal feedback coding and global-local dynamic neurons.
  Spiking Neural Networks (SNNs) have emerged as energy-efficient, biologically more plausible alternatives to Artificial Neural Networks (ANNs), and their recent integration with Transformer architectures has demonstrated impressive performance on vision tasks.…
  europepmc 2026 置信度 0.80
• FE-SpikeFormer: A Camera-Based Facial Expression Recognition Method for Hospital Health Monitoring.
  europepmc 2026 置信度 0.80
• Active dendrites enable robust spiking computations despite timing jitter.
  europepmc 2026 置信度 0.80
• Biologically inspired spiking diffusion model with adaptive lateral selection mechanism.
  europepmc 2026 置信度 0.80
• Brain-VQA: Human brain visual pathway inspired visual question answering for enhanced multi-modal cognition and reasoning.
  Visual Question Answering (VQA) aims to assess a model's ability to reason over visual content in response to natural language questions. Despite rapid progress driven by large-scale pretrained vision-language models, it remains unclear whether existing VQA sy…
  europepmc 2026 置信度 0.80
• Programmable optoelectronic memristors for energy-efficient adaptive binarized spiking neural networks.
  europepmc 2026 置信度 0.80
• It's not just the phase: Frequency-dependent tuning of neuronal firing.
  europepmc 2026 置信度 0.80
• Lightweight spiking transformer towards neurodynamic integration framework.
  europepmc 2026 置信度 0.80
• Performance evaluation of AkidaNet converted to spiking domain for the classification of weeds in cotton fields.
  europepmc 2026 置信度 0.80
• CogniSNN: Enabling neuron-expandability, pathway-reusability, and dynamic-configurability in spiking neural networks.
  europepmc 2026 置信度 0.80
• Community-aware sparse topology design for efficient spiking neural networks.
  europepmc 2026 置信度 0.80
• Graphon Signal Processing for Spiking and Biological Neural Networks.
  Abstract Graph signal processing (GSP) extends classical signal processing to signals defined on graphs, enabling filtering, spectral analysis, and sampling of data generated by networks of various kinds. Graphon signal processing (GnSP) develops this framewor…
  europepmc Takuma Sumi, Georgi S. Medvedev 2026 置信度 0.80
• DSN : Energy-efficient EMG signal classification method enabling real-time monitoring for edge healthcare.
  europepmc 2026 置信度 0.80
• Exploring the spiking neural autoencoder: from hyperexcitability to noise-driven compensation.
  europepmc 2026 置信度 0.80
• Membrane-potential-dependent plasticity learning for theta-neuron network.
  europepmc 2026 置信度 0.80
• Self-Rectifying Integrate-and-Fire Neuron and Collaborative Trim Training Framework for SNN-Based EEG Motor Imagery Classification.
  europepmc 2026 置信度 0.80
• Randomized forward mode gradient for spiking neural networks in scientific machine learning.
  europepmc 2026 置信度 0.80
• DBHN-Net: Dual-Branch Hybrid Neural Network for Low-Complexity Monaural Speech Enhancement.
  europepmc 2026 置信度 0.80
• Local-Contextual Feature Fusion Network Based on Nonlinear Spiking Neural Model for Semantic Segmentation of Remote Sensing Images.
  europepmc 2026 置信度 0.80
• A computational framework for fitting biophysical basal-ganglia network models, applied to Parkinsonian beta oscillations.
  europepmc 2026 置信度 0.80
• Spike-EIFNet: Lightweight Spike-Driven Event-Image Fusion Network for Accurate and Efficient Semantic Segmentation.
  europepmc 2026 置信度 0.80
• SD<sup>2</sup>-SNN: Self-distillation and structural decomposition framework for SNNs in continual learning.
  europepmc 2026 置信度 0.80
• Forecasting Nasdaq stock exchange time series using an improved recurrent spiking Pi-Sigma artificial neural network.
  europepmc 2026 置信度 0.80
• Physiologically inspired modeling of cortical dynamics through spiking neural networks.
  europepmc 2026 置信度 0.80