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• Building a self-learning memristor-based spiking neural network on handwritten digit recognition and orientation extraction
  crossref Mingli He, Honelei Gao, Quansheng Ren, Jianye Zhao 2014-10-07T05:59:21Z 置信度 0.70
• Intelligent Compound Control Based on Spiking Neural Network for Hex-Rotor Unmanned Aerial Vehicle
  crossref Cheng Peng, Guanyu Qiao, Bing Ge 2025-03-19T18:05:37Z 置信度 0.70
• End to End Learning of Spiking Neural Network Based on R-STDP for a Lane Keeping Vehicle
  crossref Zhenshan Bing, Claus Meschede, Kai Huang, Guang Chen 等 2018-09-21T22:28:03Z 置信度 0.70
• The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning
  crossref Manh V. Nguyen, Liang Zhao, Bobin Deng, William Severa 等 2025-01-27T18:37:48Z 置信度 0.70
• Correction to: Deep convolutional spiking neural network fostered automatic detection and classification of breast cancer from mammography images
  crossref T. Senthil Prakash, G. Kannan, Salini Prabhakaran, Bhagirath Parshuram Prajapati 2023-11-30T08:02:28Z 置信度 0.70
• The effects of dynamical synapses on firing rate activity: a spiking neural network model
  Abstract Accumulating evidence relates the fine‐tuning of synaptic maturation and regulation of neural network activity to several key factors, including GABA A signaling and a lateral spread length between neighboring neurons (i.e., local connectivity). Furth…
  crossref Radwa Khalil, Marie Z. Moftah, Ahmed A. Moustafa 2017-09-18T14:30:22Z 置信度 0.70
• Developing Charcot–Marie–Tooth Disease Recognition System Using Bacterial Foraging Optimization Algorithm Based Spiking Neural Network
  crossref Abdulaziz Abdullah Al-Kheraif, Mohamed Hashem, Mohammed Sayed S. Al Esawy 2018-09-10T04:59:33Z 置信度 0.70
• Wind speed forecasting at wind farm locations with an unique hybrid PSO-ALO based modified spiking neural network
  crossref Vinoth kumar Thangaraj, Deepa Subramaniam Nachimuthu, Vijay Amirtha Raj Francis 2023-08-07T15:01:47Z 置信度 0.70
• DGRDet: Dynamic Gaussian Receptive Field Encoding-Based Spiking Neural Networks for Remote Sensing Object Detection
  crossref Li Chen, Fan Zhang, Guangwei Xie, Yanzhao Gao 等 2026-05-09T08:30:38Z 置信度 0.70
• Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks
  Information encoding in the nervous system is supported through the precise spike timings of neurons; however, an understanding of the underlying processes by which such representations are formed in the first place remains an open question. Here we examine ho…
  crossref Brian Gardner, Ioana Sporea, André Grüning 2015-11-24T16:36:29Z 置信度 0.70
• Comparison of learning methods for spiking neural networks
  crossref K. Kukin, A. Sboev 2015-07-06T03:48:07Z 置信度 0.70
• GPU facilitated unsupervised visual feature acquisition in spiking neural networks
  crossref Blake Lemoine, Anthony S. Maida 2014-01-10T15:08:44Z 置信度 0.70
• A Novel Robotic Controller Using Neural Engineering Framework-Based Spiking Neural Networks
  This paper investigates spiking neural networks (SNN) for novel robotic controllers with the aim of improving accuracy in trajectory tracking. By emulating the operation of the human brain through the incorporation of temporal coding mechanisms, SNN offer grea…
  crossref Dailin Marrero, John Kern, Claudio Urrea 2024-01-12T11:43:53Z 置信度 0.70
• Scalable Temporal Graph Neural Network Training on Dynamic Graphs
  crossref Shihong Gao, Yiming Li 2026-05-26T12:43:28Z 置信度 0.70
• Nonconvergence in Logistic and Poisson Models for Neural Spiking
  Generalized linear models are an increasingly common approach for spike train data analysis. For the logistic and Poisson models, one possible difficulty is that iterative algorithms for computing parameter estimates may not converge because of certain data co…
  crossref Mengyuan Zhao, Satish Iyengar 2010-01-25T18:21:01Z 置信度 0.70
• Live Demonstration: Circular Object Recognition with Binary-weight Spiking Neural Networks
  crossref Ryoichi Yuki, Oliver Velasco-Cardenas, Ayane Matsuzaki, Yoshinari Wada 等 2026-06-18T20:06:41Z 置信度 0.70
• Towards Verification of Spiking Neural Networks for Next-Generation AI Systems
  crossref Sruti Goswami, Ansuman Banerjee, Swarup K. Mohalik 2025-12-31T10:35:20Z 置信度 0.70
• Context-aware spiking neural networks for real-time anomaly detection in IOT-enabled smart energy systems
  crossref Fathe Jeribi 2026-02-27T20:38:45Z 置信度 0.70
• Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks
  Nonlinear interactions in the dendritic tree play a key role in neural computation. Nevertheless, modeling frameworks aimed at the construction of large-scale, functional spiking neural networks, such as the Neural Engineering Framework, tend to assume a linea…
  crossref Andreas Stöckel, Chris Eliasmith 2020-10-20T21:25:44Z 置信度 0.70
• Supervised spiking neural network for SAR image recognition: analysis of encoding methods and performance under strong noise influence
  crossref Wang junyu, Sun hao, Tang tao, Lei lin 等 2024-03-07T23:26:36Z 置信度 0.70
• A Spiking Neural Network with Resistively Coupled Synapses Using Time-to-First-Spike Coding Towards Efficient Charge-Domain Computing
  crossref Yusuke Sakemi, Kai Morino, Takashi Morie, Takeo Hosomi 等 2022-11-11T20:38:08Z 置信度 0.70
• CrypTest: Evaluation of CKKS-based Homomorphic Cryptosystems using Deep Spiking Neural Network Diagnostics via Aphid Ant Optimization
  crossref S. Dhanush Prasanna, A.Nadeemullah Khan, S.Poovarasan, N.Mathivanan 2024-10-23T17:40:23Z 置信度 0.70
• Guidelines for Achieving Optimal Classification Accuracy through Unsupervised Learning in Spiking Neural Network Using FeFETs-based Synapses
  crossref Chung-Li Chang, Hao-Kai Peng, Shun-Chi Wu, Yung-Hsien Wu 2024-10-16T00:21:36Z 置信度 0.70
• RCNNshift: Moving Object Tracking with Kernel and Training-Free Spiking Neural Network
  Moving object tracking is essential in computer vision applications such as autonomous navigation and surveillance. Traditional kernel-based methods like Meanshift and Camshift are computationally efficient but often falter with complex motions and occlusions.…
  crossref Haoran Liu, Peng Li, Mingzhe Liu, Yiran Chen 等 2025-10-28T16:12:19Z 置信度 0.70
• Unsupervised Learning for Non-intrusive Load Monitoring in Smart Grid Based on Spiking Deep Neural Network
  crossref Zejian Zhou, Yingmeng Xiang, Hao Xu, Yishen Wang 等 2022-05-17T01:55:15Z 置信度 0.70
• Fluctuation-driven initialization for spiking neural network training
  Abstract Spiking neural networks (SNNs) underlie low-power, fault-tolerant information processing in the brain and could constitute a power-efficient alternative to conventional deep neural networks when implemented on suitable neuromorphic hardware accelerato…
  crossref Julian Rossbroich, Julia Gygax, Friedemann Zenke 2022-10-05T18:17:48Z 置信度 0.70
• Design Of Efficient AI Accelerator Using Spiking Neural Network
  crossref A. Rosi, N. Suresh, B Venkata Sasi Kumar, M. Ramesh 等 2025-06-27T17:43:50Z 置信度 0.70
• Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons
  crossref Joonghyun Song, Jiwon Shirn, Hanseok Kim, Woo-Seok Choi 2022-09-05T20:21:42Z 置信度 0.70
• Multiplierless Spiking Neural Network for Motor Signal Decoding in the Peripheral Nervous System
  crossref Qiaosong Deng, Junyu Ma, Hanfeng Cai, Hao You 等 2024-12-23T19:10:53Z 置信度 0.70
• ES-Parkour: Advanced Robot Parkour with Bio-inspired Event Camera and Spiking Neural Network
  crossref Qiang Zhang, Jiahang Cao, Jingkai Sun, Yecheng Shao 等 2025-10-30T17:57:42Z 置信度 0.70
• Modulation of a decision-making process by spatiotemporal spike patterns decoding: evidence from spike-train metrics analysis and spiking neural network modeling
  crossref Laureline Logiaco, René Quilodran, Wulfram Gerstner, Emmanuel Procyk 等 2013-07-08T10:20:03Z 置信度 0.70
• Sparsity Through Spiking Convolutional Neural Network for Audio Classification at the Edge
  crossref Cong Sheng Leow, Wang Ling Goh, Yuan Gao 2023-07-21T17:19:44Z 置信度 0.70
• Disynaptic effect of hilar cells on pattern separation in a spiking neural network of hippocampal dentate gyrus
  crossref Sang-Yoon Kim, Woochang Lim 2022-03-23T23:08:53Z 置信度 0.70
• Full Integer Arithmetic Online Training for Spiking Neural Networks
  crossref Ismael Gomez, Guangzhi Tang 2025-09-11T11:16:47Z 置信度 0.70
• Eco-Efficient Deployment of Spiking Neural Networks on Low-Cost Edge Hardware
  crossref Fernando Sevilla Martínez, Jordi Casas-Roma, Laia Subirats, Raúl Parada 2025-09-18T17:48:27Z 置信度 0.70
• Corrigendum to "Neuromorphic architectures for edge-oriented spiking neural networks: A review" [Journal of Systems Architecture 177 (2026) 103869]
  crossref Kanishka Gunawardana, Sanka Peeris, Kavishka Rambukwella, Roshan Ragel 等 2026-07-22T20:27:19Z 置信度 0.70
• Research on Multifunctional Silicon-Based Integrated Diffractive Optical Neural Network
  crossref Tingzhao Fu 2026-01-01T23:30:36Z 置信度 0.70
• Energy-Constrained Neuromorphic Edge AI Using Spiking Graph Neural Networks for Autonomous IoT Anomaly Detection
  crossref Sajja Suneel, K.Nirmala Devi, R. Rajalakshmi, B Bharathidevi 等 2026-07-07T19:42:48Z 置信度 0.70
• HS-FP and SS-FP: Fine-Pruning-Based Backdoor Elimination for Spiking Neural Networks on Neuromorphic Event Data
  Spiking Neural Networks (SNNs) have attracted increasing attention due to their energy efficiency and suitability for neuromorphic data processing. Despite these advantages, the security of SNNs—particularly their robustness against backdoor attacks—remains un…
  crossref Ki-Ho Kim, Eun-Kyu Lee 2026-02-25T13:37:37Z 置信度 0.70
• Global inhibition in head-direction neural circuits: a systematic comparison between connectome-based spiking neural circuit models
  Abstract The recent discovery of the head-direction (HD) system in fruit flies has provided unprecedented insights into the neural mechanisms of spatial orientation. Despite the progress, the neural substance of global inhibition, an essential component of the…
  crossref Ning Chang, Hsuan-Pei Huang, Chung-Chuan Lo 2023-02-05T00:35:16Z 置信度 0.70
• Passive dendritic integration heavily affects spiking dynamics of recurrent networks
  crossref Giorgio A. Ascoli 2003-05-19T14:45:52Z 置信度 0.70
• On the Simulation of Nonlinear Bidimensional Spiking Neuron Models
  Bidimensional spiking models are garnering a lot of attention for their simplicity and their ability to reproduce various spiking patterns of cortical neurons and are used particularly for large network simulations. These models describe the dynamics of the me…
  crossref Jonathan Touboul 2011-04-15T04:44:11Z 置信度 0.70
• Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks
  crossref Loic Cordone, Benoit Miramond, Sonia Ferrante 2021-09-20T21:27:41Z 置信度 0.70
• Introduction to Graph Neural Network Training on Large Graphs
  crossref Yanyan Shen, Lei Chen 2026-05-26T12:43:15Z 置信度 0.70
• A Spiking Neural Network with a Global Self-Controller for Unsupervised Learning Based on Spike-Timing-Dependent Plasticity Using Flash Memory Synaptic Devices
  crossref Won-Mook Kang, Chul-Heung Kim, Soochang Lee, Sung Yun Woo 等 2019-10-01T03:44:32Z 置信度 0.70
• Fast and Flexible Sequence Induction In Spiking Neural Networks Via Rapid Excitability Changes
  Abstract Cognitive flexibility, the adaptation of mental processing to changes in task demands, is thought to depend on biological neural networks’ ability to rapidly modulate the dynamics governing how they process information. While extensive work has elucid…
  crossref Rich Pang, Adrienne Fairhall 2018-12-13T19:54:15Z 置信度 0.70
• Efficient Learning Using Spiking Neural Networks Equipped with Affine Encoders and Decoders
  We study the learning problem associated with spiking neural networks. Specifically, we consider hypothesis sets of spiking neural networks with affine temporal encoders and decoders and simple spiking neurons having only positive synaptic weights. We demonstr…
  crossref Anh Martina Neuman, Philipp Petersen 2024-08-19T17:18:27Z 置信度 0.70
• Learning expectation in insects: A recurrent spiking neural model for spatio-temporal representation
  crossref Paolo Arena, Luca Patané, Pietro Savio Termini 2012-02-14T21:18:41Z 置信度 0.70
• Closed Loop Interactions between Spiking Neural Network and Robotic Simulators Based on MUSIC and ROS
  crossref Philipp Weidel, Mikael Djurfeldt, Renato C. Duarte, Abigail Morrison 2016-08-02T23:23:49Z 置信度 0.70
• Osteosarcoma Bone Cancer Detection; Using Binarized Spiking Neural Network Optimized with Osprey Optimization Algorithm
  crossref Rajesh Munirathnam, M. K. Pushpa, Mahesh Kumar A S, Hardik Patel 等 2025-09-02T17:29:01Z 置信度 0.70
• Spiking Neural Network Approach for Binary Classification of Hand Movements of Spinal Cord Injured Patients
  crossref Md. Shafiul Islam Joy, Mehdi Hasan Chowdhury, Kamrul Hasan, Sagar Mutsuddi 等 2025-05-29T17:07:16Z 置信度 0.70
• Spatiotemporal Backpropagation based on Channel Reward for Training High-Precision Spiking Neural Network
  crossref Li-Ye Niu, Ying Wei, Yue Liu, Jun-Yu Long 等 2023-05-08T09:02:57Z 置信度 0.70
• Which Model to Use for Cortical Spiking Neurons?
  crossref E.M. Izhikevich 2004-09-13T14:06:25Z 置信度 0.70
• Survey on Information Processing in Visual Cortex: Cortical Feedback and Spiking Neural Network
  crossref A. Diana Andrushia, R. Thangarajan 2012-11-26T13:00:27Z 置信度 0.70
• Impacts of environment, nervous system and movements of preterms on body map development: Fetus simulation with spiking neural network
  crossref Yasunori Yamada, Keiko Fujii, Yasuo Kuniyoshi 2013-11-11T14:56:15Z 置信度 0.70
• Neural network automates the identification of dirty solar panels
  An improved model identifies power-reducing dust accumulation on photovoltaic modules, helping engineers know when the modules need cleaning.
  crossref Mara Johnson-Groh 2026-03-25T10:53:04Z 置信度 0.70
• Biologically plausible learning in a deep recurrent spiking network
  Abstract Artificial deep convolutional networks (DCNs) meanwhile beat even human performance in challenging tasks. Recently DCNs were shown to also predict real neuronal responses. Their relevance for understanding the neuronal networks in the brain, however, …
  crossref David Rotermund, Klaus R. Pawelzik 2019-04-19T01:35:10Z 置信度 0.70
• Feed forward neural network for non-intrusive load monitoring
  crossref Muhammad Asad, Manar Amayri, Nizar Bouguila 2026-02-19T11:22:29Z 置信度 0.70
• A semi-analytical fractional order neural network framework for two-dimensional time fractional reaction-diffusion problems
  crossref Arihant Patawari, Pratibhamoy Das, Subrata Rana 2026-08-31T15:32:00Z 置信度 0.70
• Parameter estimation in spiking neural networks: a reverse-engineering approach
  This paper presents a reverse engineering approach for parameter estimation in spiking neural networks (SNNs). We consider the deterministic evolution of a time-discretized network with spiking neurons, where synaptic transmission has delays, modeled as a neur…
  crossref H Rostro-Gonzalez, B Cessac, T Vieville 2012-03-15T09:13:52Z 置信度 0.70
• Unsupervised Multi-layer Spiking Convolutional Neural Network Using Layer-Wise Sparse Coding
  crossref Regina Esi Turkson, Hong Qu, Yuchen Wang, Moses J. Eghan 2020-11-18T09:12:07Z 置信度 0.70
• AR-LIF: Adaptive Reset Leaky Integrate-And-Fire Neuron for Spiking Neural Networks
  crossref Zeyu Huang, Wei Meng, Quan Liu, Kun Chen 等 2026-04-21T21:23:31Z 置信度 0.70
• Design and Implementation of Deep Spiking Neural Network Learning Algorithm Based on Feedback Mechanism
  crossref Xueliang Tang, Xu Yang 2024-02-05T12:06:23Z 置信度 0.70
• Waste Classification using Edge based Multilayer White Shark Dense Net-Spiking Neural Network from Urban Areas
  crossref Chitra Kiran. N, Ruchira Rawat, T. Madhavi, SKM. Pothinathan 等 2025-01-17T18:33:03Z 置信度 0.70
• Light weight convolutional models with spiking neural network based human action recognition
  Though deep learning networks have proven ability to perform video analytics in complex environments, there is an increased attention towards the development of compact networks which would facilitate edge processing and the result of which have yielded high p…
  crossref S. Jeba Berlin, Mala John 2020-06-23T11:01:15Z 置信度 0.70
• ASIC Implementation Of Biologically Inspired Spiking Neural Network
  crossref Gunjan Rajput, Gopal Raut, Sajid Khan, Neha Gupta 等 2020-05-15T03:39:00Z 置信度 0.70
• Multi-objective K-means evolving spiking neural network model based on differential evolution
  crossref Haza Nuzly Abdull Hamed, Abdulrazak Yahya Saleh, Siti Mariyam Shamsuddin, Ashraf Osman Ibrahim 2016-01-14T23:51:06Z 置信度 0.70
• Efficient Identification of Cable Partial Discharge: A Spiking Neural Network Approach
  crossref Shengwei Li, Xiaomin He, Zhaoquan Ye, Chen Dong 等 2025-09-10T17:41:10Z 置信度 0.70
• A Heterogeneous Spiking Neural Network for Computationally Efficient Face Recognition
  crossref Xichuan Zhou, Zhenghua Zhou, Zhengqing Zhong, Jianyi Yu 等 2021-04-27T21:33:36Z 置信度 0.70
• An efficient hardware implementation of a novel unary Spiking Neural Network multiplier with variable dendritic delays
  crossref Carlos Diaz, Giovanny Sanchez, Gonzalo Duchen, Mariko Nakano 等 2016-01-11T05:46:34Z 置信度 0.70
• Moment neural network and an efficient numerical method for modeling irregular spiking activity
  Continuous rate-based neural networks have been widely applied to modeling the dynamics of cortical circuits. However, cortical neurons in the brain exhibit irregular spiking activity with complex correlation structures that cannot be captured by mean firing r…
  crossref Yang Qi 2024-08-20T10:13:12Z 置信度 0.70
• Generating initial values using artificial neural network
  crossref 2026-07-08T04:58:49Z 置信度 0.70
• DLC‐NddMode: A Spiking Neural Network Tactile Object Recognition Model With Adaptive Optimisation and Regularisation
  ABSTRACT Empowering robots with tactile perception is crucial for the future development of intelligent robots. Tactile perception can expand the application scenarios of robots to perform more complex tasks. Unfortunately, existing approaches are flawed in th…
  crossref Lin Liu, Shaobo Li, Xiaoyang Ji, Jing Yang 等 2025-09-06T18:54:09Z 置信度 0.70
• Spiking Neural Network-based Approximate Dynamic Programming for Vehicle Tracking Control
  crossref Chengwei Pan, Jiale Geng, Wenyu Li, Feng Duan 等 2025-01-22T18:45:23Z 置信度 0.70
• Carbon-based Spiking Neural Network Implemented with Single-Electron Transistor and Memristor for Visual Perception
  crossref Zhiwei Wang, Chenxi Liu, Yabin Deng, Zenan Huang 等 2020-12-01T23:07:43Z 置信度 0.70
• Production of adaptive movement patterns via an insect inspired spiking neural network central pattern generator
  Navigation in ever-changing environments requires effective motor behaviors. Many insects have developed adaptive movement patterns which increase their success in achieving navigational goals. A conserved brain area in the insect brain, the Lateral Accessory …
  crossref Fabian Steinbeck, Thomas Nowotny, Andy Philippides, Paul Graham 2022-11-18T06:30:43Z 置信度 0.70
• On the Applicability of Spiking Neural Network Models to Solve the Task of Recognizing Gender Hidden in Texts
  crossref Alexander Sboev, Tatiana Litvinova, Danila Vlasov, Alexey Serenko 等 2016-12-03T00:03:00Z 置信度 0.70
• Development of a Neuromorphic-Friendly Spiking Neural Network for RF Event-based Classification
  crossref Michael Smith, Michael Temple, James Dean 2025-02-07T03:59:05Z 置信度 0.70
• Biomimetic Spiking Neural Network (SNN) Systems for ‘In Vitro’ Cells Stimulation
  crossref Farad Khoyratee, Stephany Mai Nishikawa, Luo Zhongyue, Soo Hyeon Kim 等 2019-05-01T17:02:28Z 置信度 0.70
• Crack Defect Detection and Evaluation Method Based on Spiking Neural Network
  crossref Yanxiao Wang, Zihao Lei, Zhizhen Ren, Guangrui Wen 等 2026-03-16T20:10:33Z 置信度 0.70
• SpiCS-Net: Circuit Switched Network on Chip for Area-Efficient Spiking Recurrent Neural Networks
  crossref Manu Rathore, Garrett S. Rose 2024-04-02T18:38:37Z 置信度 0.70
• SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training
  Spiking Neural Networks (SNNs) are a pathway that could potentially empower low-power event-driven neuromorphic hardware due to their spatio-temporal information processing capability and high biological plausibility. Although SNNs are currently more efficient…
  crossref Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang 等 2021-11-04T03:38:11Z 置信度 0.70
• A High-speed and Low-power FPGA Implementation of Spiking Convolutional Neural Network Using Logarithmic Quantization
  crossref Jiadong Wu, Yinan Wang, Lun Lu, Changlin Chen 等 2023-10-18T13:43:48Z 置信度 0.70
• Physics‐Based Spiking Neural Network as a Surrogate Model for Viscoplastic Material Law in Impulsively Loaded Beams
  ABSTRACT In the present study, the nonlinear material law of an in‐house FEM solver is substituted by physics‐informed neural networks (PINNs) and by physics‐based spiking neural networks (SNNs) for predicting the dynamic response of beams under impact loading…
  crossref Vasileios Polydoras, Saurabh Tandale, Marcus Stoffel 2024-12-11T08:16:39Z 置信度 0.70
• Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks
  Abstract While artificial machine learning systems achieve superhuman performance in specific tasks such as language processing, image and video recognition, they do so use extremely large datasets and huge amounts of power. On the other hand, the brain remain…
  crossref Nikos Malakasis, Spyridon Chavlis, Panayiota Poirazi 2023-05-24T16:00:12Z 置信度 0.70
• A Gate-Tunable Thermal Persistent Photocurrent Device for In-Sensor Spiking Neural Networks
  crossref 2026-04-06T13:40:26Z 置信度 0.70
• Models and algorithms for implementing energy-efficient spiking neural networks on neuromorphic hardware at the edge
  Modèles et algorithmes pour l'implémentation de réseaux de neurones impulsionnels à faible consommation énergétique sur du matériel neuromorphique L'apprentissage profond dans les réseaux de neurones artificiels (ANNs), une branche de l'intelligence artificiel…
  crossref Manon Dampfhoffer 2026-04-08T07:13:49Z 置信度 0.70
• Design and implementation of Network Intrusion Detection System (NIDS) based on neural network model
  crossref Baoxing Xie 2026-07-15T06:51:41Z 置信度 0.70
• SCMFFN: A spiking combined few-shot network with multi-feature fusion for automatic modulation classification
  crossref Mayue Wang, Jiakai Liang, Chao Wang, Weibin Lu 等 2026-07-16T05:28:06Z 置信度 0.70
• Author Response: Hippocampome.org v2.0: a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits
  crossref Diek W. Wheeler, Jeffrey D. Kopsick, Nate Sutton, Carolina Tecuatl 等 2023-09-27T11:31:09Z 置信度 0.70
• Robustness of the Scale-free Spiking Neural Network with Small-world Property
  crossref Dongzhao Liu, Lei Guo, Youxi Wu, Guizhi Xu 2021-01-05T23:12:38Z 置信度 0.70
• Deep Spiking Binary Neural Network for Digital Neuromorphic Hardware
  crossref Zilin Wang, Kefei Liu, Xiaoxin Cui, Yuan Wang 2020-12-22T01:01:05Z 置信度 0.70
• Supervised learning in Spiking Neural Networks with limited precision: SNN/LP
  crossref Evangelos Stromatias, John S. Marsland 2015-10-01T21:48:02Z 置信度 0.70
• Dynamics of Strongly Coupled Spiking Neurons
  We present a dynamical theory of integrate-and-fire neurons with strong synaptic coupling. We show how phase-locked states that are stable in the weak coupling regime can destabilize as the coupling is increased, leading to states characterized by spatiotempor…
  crossref Paul C. Bressloff, S. Coombes 2002-07-27T11:57:56Z 置信度 0.70
• The effect of biologically-inspired mechanisms in spiking neural networks for neuromorphic implementation
  crossref Catherine D. Schuman 2017-07-10T17:41:30Z 置信度 0.70
• Simulation of the visual cortex with laterally connected spiking neural networks
  crossref Jianguo Xin, M. Embrechts 2004-03-22T14:34:28Z 置信度 0.70
• Robustness of spike deconvolution for calcium imaging of neural spiking
  Abstract Calcium imaging is a powerful method to record the activity of neural populations, but inferring spike times from calcium signals is a challenging problem. We compared multiple approaches using multiple datasets with ground truth electrophysiology, an…
  crossref Marius Pachitariu, Carsen Stringer, Kenneth D. Harris 2017-06-28T01:10:13Z 置信度 0.70
• An integrated harmony search algorithm-based multi-objective differential evolution of evolving spiking neural network
  crossref Abdulrazak Yahya Saleh, Siti Mariyam Shamsuddin, Haza Nuzly Abdull Hamed 2016-08-16T11:30:14Z 置信度 0.70
• Dimension Reduction and Dynamics of a Spiking Neural Network Model for Decision Making under Neuromodulation
  Previous models of neuromodulation in cortical circuits have used either physiologically based networks of spiking neurons or simplified gain adjustments in low-dimensional connectionist models. Here we reduce a high-dimensional spiking neuronal network model,…
  crossref Philip Eckhoff, KongFatt Wong-Lin, Philip Holmes 2011-02-22T18:09:26Z 置信度 0.70
• Fixed latency on-chip interconnect for hardware spiking neural network architectures
  crossref Sandeep Pande, Fearghal Morgan, Gerard Smit, Tom Bruintjes 等 2013-04-26T02:40:15Z 置信度 0.70