类脑计算 · 全部实体（第 73 / 100 页）

本页收录第 7201–7300 条，共 10000 条 · 返回 类脑计算 首页

• Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks
  crossref Florian Walter, Florian Röhrbein, Alois Knoll 2015-08-18T18:31:10Z 置信度 0.70
• Manipulation of neuronal activity by an artificial spiking neural network implemented on a closed-loop brain-computer interface in non-human primates
  Abstract Objective. Closed-loop brain-computer interfaces can be used to bridge, modulate, or repair damaged connections within the brain to restore functional deficits. Towards this goal, we demonstrate that small artificial spiking neural networks can be bid…
  europepmc Jonathan Mishler, Richy Yun, Steve Perlmutter, Rajesh P N Rao 等 2025 置信度 0.80
• Scalable multi-precision simulation of spiking neural networks on GPU with OpenCL
  crossref Dmitri Yudanov, Leon Reznik 2012-08-01T16:47:51Z 置信度 0.70
• On the Nonlearnability of a Single Spiking Neuron
  We study the computational complexity of training a single spiking neuron N with binary coded inputs and output that, in addition to adaptive weights and a threshold, has adjustable synaptic delays. A synchronization technique is introduced so that the results…
  crossref Jiří Šíma, Jiří Sgall 2005-09-28T20:53:50Z 置信度 0.70
• A reversibility analysis of encoding methods for spiking neural networks
  crossref C. Johnson, S. Roychowdhury, G. K. Venayagamoorthy 2011-10-06T17:24:17Z 置信度 0.70
• Dynamics of Spiking Neurons with Electrical Coupling
  We analyze the existence and stability of phase-locked states of neurons coupled electrically with gap junctions. We show that spike shape and size, along with driving current (which affects network frequency), play a large role in which phase-locked modes exi…
  crossref Carson C. Chow, Nancy Kopell 2002-07-27T11:56:30Z 置信度 0.70
• Advantages and Disadvantages of Spiking Neural Networks Compared to Classical Artificial Neural Networks
  crossref Igor Semenov, Dmitry Nikitin 2024-01-19T18:40:04Z 置信度 0.70
• Conclusion and Future Directions
  crossref Muhammad Arsalan 2024-09-01T06:02:42Z 置信度 0.70
• Third Generation Neural Networks
  crossref 2010-06-28T18:54:11Z 置信度 0.70
• Learning to Classify Faster Using Spiking Neural Networks
  crossref Pranav Machingal, Thousif, Shirin Dora, Suresh Sundaram 等 2023-08-02T17:30:03Z 置信度 0.70
• Adaptive Synapse Control Mechanism to Improve Learning Performances of Spiking Neural Networks
  crossref Hyun-Jong Lee, Jae-Han Lim 2023-09-22T20:17:20Z 置信度 0.70
• Decision letter for "Energy-aware spike budgeting for continual learning in spiking neural networks for neuromorphic vision"
  crossref 2026-07-03T23:27:36Z 置信度 0.70
• Differences in Spiking Patterns Among Cortical Neurons
  Spike sequences recorded from four cortical areas of an awake behaving monkey were examined to explore characteristics that vary among neurons. We found that a measure of the local variation of interspike intervals, L V , is nearly the same for every spike seq…
  crossref Shigeru Shinomoto, Keisetsu Shima, Jun Tanji 2003-11-02T18:29:22Z 置信度 0.70
• Neuromorphic Deep Spiking Neural Networks for Seizure Detection
  <p>There are a total of three publicly accessible datasets used, including the Boston Children’s Hospital–MIT (CHB-MIT) dataset from the U.S. and the Freiburg (FB) and EPILEPSIAE intracranial EEG (iEEG) datasets from Germany. </p>
  crossref Yikai Yang, Jason Eshraghian, Nhan Duy Truong, Armin Nikpour 等 2022-08-11T04:37:49Z 置信度 0.70
• Neuromorphic Deep Spiking Neural Networks for Seizure Detection
  There are a total of three publicly accessible datasets used, including the Boston Children’s Hospital–MIT (CHB-MIT) dataset from the U.S. and the Freiburg (FB) and EPILEPSIAE intracranial EEG (iEEG) datasets from Germany.
  crossref Yikai Yang, Jason Eshraghian, Nhan Duy Truong, Armin Nikpour 等 2022-08-11T00:37:47Z 置信度 0.70
• An Intrinsically Knowledge-Transferring Developmental Spiking Neural Network for Tactile Classification
  europepmc Jiaqi Xing, Yizhi Liu, Zezheng Zhang, Libo Chen 等 2025-10-30T18:03:10Z 置信度 0.80
• A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks
  crossref Yan Xu, Xiaoqin Zeng, Lixin Han, Jing Yang 2013-02-16T08:00:53Z 置信度 0.70
• 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 2014-10-09T09:26:44Z 置信度 0.70
• An Unsupervised Learning Approach for Classifying Sequence Data for Human Robotic Interaction Using Spiking Neural Network
  crossref Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu 2015-03-03T14:15:23Z 置信度 0.70
• Multimodal Identity Recognition of Spiking Neural Network Based on Brain-Inspired Reward Propagation
  crossref Yang Liu, Hongxia Zhang, Yahui Li, Quanqiang Wang 等 2025-02-20T20:05:50Z 置信度 0.70
• A 512-Neuron 500 k-Synapse 3.58-pJ/SOP Reconfigurable Spiking Neural Network With Time-Step Update Packet Aggregation and LIF/ALIF Neurons
  crossref Jingyu Wang, Delong Shang 2026-03-18T19:40:12Z 置信度 0.70
• SYNtzulA: Open-Source Hardware for Energy-Efficient Spiking Neural Network Inference
  crossref Luca Martis, Gianluca Leone, Luigi Raffo, Paolo Meloni 2025-07-07T04:13:09Z 置信度 0.70
• MA-SGNN: A Multi-view Adaptive Spiking Graph Neural Network for Event-based Tactile Recognition
  crossref Wei Chi, Ying Zhang, Xiaolu Zhang, Mingyuan Ma 等 2026-01-29T21:19:40Z 置信度 0.70
• RETRACTED ARTICLE: A novel multi-layer multi-spiking neural network for EEG signal classification using Mini Batch SGD
  crossref M. Ramesh, Swetha Revoori, Damodar Reddy Edla, K. V. D. Kiran 2023-05-24T10:02:41Z 置信度 0.70
• A Spiking Neural Network with Attention and Residual Mechanisms for Compound Fault Detection
  To address the challenges of severe multi-source coupling, easily masked spiking features, and limited selection of key responses in compound fault signals, this paper proposes a compound fault detection method based on a spiking attention residual network (SA…
  crossref Yulong Xing, Kun Li, Xiaoshuai Li, Congcong Liu 等 2026-05-28T08:00:36Z 置信度 0.70
• Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images
  crossref R. Rajagopal, R. Karthick, P. Meenalochini, T. Kalaichelvi 2022-09-21T21:24:52Z 置信度 0.70
• Correlations Decrease with Propagation of Spiking Activity in the Mouse Barrel Cortex
  crossref Gayathri Nattar Ranganathan, Helmut Joachim Koester 2011-05-23T06:35:45Z 置信度 0.70
• Evolving Spiking Neural Networks for predicting transcription factor binding sites
  crossref Heike Sichtig, J. David Schaffer, Alberto Riva 2010-10-19T18:58:15Z 置信度 0.70
• Synchrony: A spiking-based mechanism for processing sensory stimuli
  crossref Cornelius Glackin, Liam Maguire, Liam McDaid, John Wade 2012-02-14T21:17:15Z 置信度 0.70
• Empirical Analysis of Full-System Approximation on Non-Spiking and Spiking Neural Networks
  crossref Amir Najafi, David Rotermund, Ardalan Najafi, Klaus R. Pawelzik 等 2023-07-17T17:34:53Z 置信度 0.70
• Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks
  crossref Hangchi Shen, Qian Zheng, Huamin Wang, Gang Pan 2025-11-03T11:20:56Z 置信度 0.70
• Spiking Neural Networks and online learning: An overview and perspectives
  crossref Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola Kasabov 2019-09-07T10:56:04Z 置信度 0.70
• Decision letter for "Energy-aware spike budgeting for continual learning in spiking neural networks for neuromorphic vision"
  crossref 2026-07-03T23:27:36Z 置信度 0.70
• Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition
  crossref Nikola Kasabov, Kshitij Dhoble, Nuttapod Nuntalid, Giacomo Indiveri 2012-12-19T23:44:15Z 置信度 0.70
• Spiking Neural Network Controllers Evolved for Animat Foraging Based on Temporal Pattern Recognition in the Presence of Noise on Input
  crossref Chama Bensmail, Volker Steuber, Neil Davey, Borys Wróbel 2018-09-26T10:57:36Z 置信度 0.70
• Feature fusion method based on spiking neural convolutional network for edge detection
  crossref Ronghao Xian, Xin Xiong, Hong Peng, Jun Wang 等 2023-11-13T02:06:13Z 置信度 0.70
• Blockchain-enabled spiking neural network for optimal routing and location privacy protection in IoT healthcare networks
  crossref Arockiasamy Punitha, Madhu Kumar Vanteru, Kaliyaperumal Manojkumar, Tappeta Vinay Simha Reddy 2026-01-19T04:12:42Z 置信度 0.70
• In-bed posture classification using pressure sensor data and spiking neural network
  crossref Hoang Phuong Dam, Nguyen Duc Anh Pham, Hung Manh Pham, Ngoc Phu Doan 等 2022-02-08T20:45:59Z 置信度 0.70
• Multi-Timescale Spiking Neural Network with Dual-Hemispheric Fusion and Coupling for Brain Disorder Diagnosis
  crossref Yingying Zhou, Shaolong Wei, Zhanmo Mi, Mingliang Wang 等 2026-03-06T20:57:57Z 置信度 0.70
• FPGA-based small-world spiking neural network with anti-interference ability under external noise
  crossref Lei Guo, Yongkang Liu, Youxi Wu, Guizhi Xu 2024-04-22T20:29:32Z 置信度 0.70
• A Generalized Linear Integrate-and-Fire Neural Model Produces Diverse Spiking Behaviors
  For simulations of neural networks, there is a trade-off between the size of the network that can be simulated and the complexity of the model used for individual neurons. In this study, we describe a generalization of the leaky integrate-and-fire model that p…
  crossref Ştefan Mihalaş, Ernst Niebur 2008-10-17T15:27:25Z 置信度 0.70
• DeepFire: Acceleration of Convolutional Spiking Neural Network on Modern Field Programmable Gate Arrays
  crossref Myat Thu Linn Aung, Chuping Qu, Liwei Yang, Tao Luo 等 2021-10-13T21:51:26Z 置信度 0.70
• Random heterogeneous spiking neural network for adversarial defense
  europepmc Jihang Wang, Dongcheng Zhao, Chengcheng Du, Xiang He 等 2025 置信度 0.80
• Specific neural coding of fMRI spiking neural network based on time coding
  crossref Lei Guo, Minxin Guo, Youxi Wu, Guizhi Xu 2023-07-25T15:10:31Z 置信度 0.70
• Spiking Neural P Systems with Weights
  A variant of spiking neural P systems with positive or negative weights on synapses is introduced, where the rules of a neuron fire when the potential of that neuron equals a given value. The involved values—weights, firing thresholds, potential consumed by ea…
  crossref Jun Wang, Hendrik Jan Hoogeboom, Linqiang Pan, Gheorghe Păun 等 2010-07-07T18:48:38Z 置信度 0.70
• Architectural Plasticity in Spiking Neural Networks
  crossref Katarzyna Kozdon, Peter J Bentley 2020-07-14T16:30:30Z 置信度 0.70
• Speech Emotion Recognition With Early Visual Cross-modal Enhancement Using Spiking Neural Networks
  crossref Esma Mansouri-Benssassi, Juan Ye 2019-10-01T03:44:32Z 置信度 0.70
• Spiking Neural Networks: Enhancing Learning Through Neuro-Inspired Adaptations
  crossref 2026-05-23T04:07:10Z 置信度 0.70
• Auditory perception architecture with spiking neural network and implementation on FPGA
  europepmc Bin Deng, Yanrong Fan, Jiang Wang, Shuangming Yang 2023 置信度 0.80
• An Attention-Based Spiking Neural Network for Unsupervised Spike-Sorting
  Bio-inspired computing using artificial spiking neural networks promises performances outperforming currently available computational approaches. Yet, the number of applications of such networks remains limited due to the absence of generic training procedures…
  crossref Marie Bernert, Blaise Yvert 2018-12-27T09:48:00Z 置信度 0.70
• STT-BSNN: An In-Memory Deep Binary Spiking Neural Network Based on STT-MRAM
  crossref Van-Tinh Nguyen, Quang-Kien Trinh, Renyuan Zhang, Yasuhiko Nakashima 2021-11-08T22:35:42Z 置信度 0.70
• A training algorithm for spike sequence in spiking neural networks — A discussion on growing network for stable training performance
  crossref Toyota Takuya, Takase Haruhiko, Kawanaka Hiroharu, Tsuruoka Shinji 2016-10-24T20:22:46Z 置信度 0.70
• Design Space Exploration of Sparsity-Aware Application-Specific Spiking Neural Network Accelerators
  crossref Ilkin Aliyev, Kama Svoboda, Tosiron Adegbija 2023-10-30T18:44:07Z 置信度 0.70
• MS-ResSNN: A Multi-Scale Residual Spiking Neural Network for Electromyography Pattern Recognition
  europepmc Min Feng, Kejia Su, Bo Wan, Jiayang Huang 2025 置信度 0.80
• Motif-Topology and Reward-Learning Improved Spiking Neural Network for Efficient Multi-Sensory Integration
  crossref Shuncheng Jia, Ruichen Zuo, Tielin Zhang, Hongxing Liu 等 2022-04-27T19:50:34Z 置信度 0.70
• A spiking neural network model of the Superior Colliculus that is robust to changes in the spatial–temporal input
  Abstract Previous studies have indicated that the location of a large neural population in the Superior Colliculus (SC) motor map specifies the amplitude and direction of the saccadic eye-movement vector, while the saccade trajectory and velocity profile are e…
  crossref Arezoo Alizadeh, A. John Van Opstal 2022-04-28T06:04:20Z 置信度 0.70
• Energy-Efficient Spiking Neural Network With Dual-Teacher Knowledge Distillation for Planetary Rock Segmentation
  crossref Keke Zha, Jiabin Yuan, Yuqian Zhou, Ruoyu Zhao 等 2026-06-17T19:38:44Z 置信度 0.70
• Microstimulation in a spiking neural network model of the midbrain superior colliculus
  crossref Bahadir Kasap, A. John van Opstal 2019-04-12T13:39:26Z 置信度 0.70
• Edge Detection Based on Spiking Neural Network Model
  crossref QingXiang Wu, Martin McGinnity, Liam Maguire, Ammar Belatreche 等 2007-07-30T00:32:41Z 置信度 0.70
• Phase diagram of spiking neural networks
  crossref Hamed Seyed-allaei 2015-03-04T09:44:12Z 置信度 0.70
• Quantized STDP-based online-learning spiking neural network
  crossref S. G. Hu, G. C. Qiao, T. P. Chen, Q. Yu 等 2021-06-11T15:03:22Z 置信度 0.70
• Spiking Neural Network Actor–Critic Reinforcement Learning with Temporal Coding and Reward-Modulated Plasticity
  crossref D. S. Vlasov, R. B. Rybka, A. V. Serenko, A. G. Sboev 2025-03-22T05:53:06Z 置信度 0.70
• SpikeAttn-YOLO: An Attention-Enhanced Spiking Neural Network for Energy-Efficient Object Detection
  crossref Jun Zhou, Ziliang Ren, Qieshi Zhang, Qosimov Abdunabi 等 2026-08-04T19:14:48Z 置信度 0.70
• CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation
  crossref Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das 等 2022-09-30T19:56:04Z 置信度 0.70
• SPIKING NEURAL NETWORKS
  Most current Artificial Neural Network (ANN) models are based on highly simplified brain dynamics. They have been used as powerful computational tools to solve complex pattern recognition, function estimation, and classification problems. ANNs have been evolvi…
  crossref SAMANWOY GHOSH-DASTIDAR, HOJJAT ADELI 2009-09-02T08:09:31Z 置信度 0.70
• Sleep-Awake Switch with Spiking Neural P Systems
  crossref Jack Mario Mingo 2010-02-14T15:37:36Z 置信度 0.70
• Unveiling Robustness of Spiking Neural Networks against Data Poisoning Attacks
  crossref Srishti Yadav, Anshul Pundhir, Balasubramanian Raman, Sanjeev Kumar 2024-09-09T17:35:05Z 置信度 0.70
• On the energy benefits of spiking deep neural networks: A case study
  crossref Bing Han, Abhronil Sengupta, Kaushik Roy 2016-11-08T16:15:56Z 置信度 0.70
• A Spiking-based mechanism for self-organizing RBF neural networks
  crossref Honggui Han, Lidan Wang, Junfei Qiao, Gang Feng 2014-09-10T14:30:33Z 置信度 0.70
• Brain Dynamics Modeling via Spiking Neuron Simulator
  crossref 2010-06-25T16:01:43Z 置信度 0.70
• CMOS-Memristive Spiking Neural Networks (SNN) computing architectures
  crossref María Teresa Serrano-gotarredona 2025-04-01T13:55:38Z 置信度 0.70
• NVM Weight Variation Impact on Analog Spiking Neural Network Chip
  crossref Akiyo Nomura, Megumi Ito, Atsuya Okazaki, Masatoshi Ishii 等 2018-11-17T06:55:08Z 置信度 0.70
• Supervised Learning of Logical Operations in Layered Spiking Neural Networks with Spike Train Encoding
  crossref André Grüning, Ioana Sporea 2012-05-14T04:38:35Z 置信度 0.70
• Noise as an Optimization Tool for Spiking Neural Networks
  Standard ANNs lack flexibility when handling corrupted input due to their fixed structure. Spiking Neural Networks (SNNs) can utilize biological temporal coding features, such as noise-induced stochastic resonance and dynamical synapses to increase a model’s p…
  preprints Yana Garipova, Shogo Yonekura, Yasuo Kuniyoshi 2024 置信度 0.74
• Spiking Neural Networks Enable Two-Dimensional Neurons and Unsupervised Multi-Timescale Learning
  crossref Timoleon Moraitis, Abu Sebastian, Evangelos Eleftheriou 2018-10-19T22:25:09Z 置信度 0.70
• Pattern separation and synchronization in spiking associative memories and visual areas
  crossref Andreas Knoblauch, Günther Palm 2002-10-14T18:58:33Z 置信度 0.70
• Studying Transfer of Learning using a Brain-Inspired Spiking Neural Network in the Context of Learning a New Programming Language
  crossref Mojgan Hafezi Fard, Krassie Petrova, Nikola Kasabov, Grace Y. Wang 2022-03-01T15:42:15Z 置信度 0.70
• A shallow hybrid classical–quantum spiking feedforward neural network for noise-robust image classification
  crossref Debanjan Konar, Aditya Das Sarma, Soham Bhandary, Siddhartha Bhattacharyya 等 2023-02-10T06:45:13Z 置信度 0.70
• Connecting spiking neurons to a spiking memristor network changes the memristor dynamics
  crossref Deborah Gater, Attya Iqbal, Jeffrey Davey, Ella Gale 2014-05-16T23:05:07Z 置信度 0.70
• The Enhancement of Evolving Spiking Neural Network with Dynamic Population Particle Swarm Optimization
  crossref Nur Nadiah Md. Said, Haza Nuzly Abdull Hamed, Afnizanfaizal Abdullah 2017-08-24T23:53:49Z 置信度 0.70
• Energy Minimization for UAV-Assisted Wireless Sensor Networks: A Novel Learning-based Framework of Spiking Neural Network
  crossref Thanh-Can Le, Hieu V. Nguyen, Mai T. P. Le, Vien Nguyen-Duy-Nhat 2026-08-24T19:21:30Z 置信度 0.70
• Temporal Knowledge Sharing Enable Spiking Neural Network Learning From Past and Future
  crossref Yiting Dong, Dongcheng Zhao, Yi Zeng 2024-03-07T14:31:20Z 置信度 0.70
• Modeling the Effect of Prior Knowledge on Memory Efficiency for the Study of Transfer of Learning: A Spiking Neural Network Approach
  The transfer of learning (TL) is the process of applying knowledge and skills learned in one context to a new and different context. Efficient use of memory is essential in achieving successful TL and good learning outcomes. This study uses a cognitive computi…
  crossref Mojgan Hafezi Fard, Krassie Petrova, Nikola Kirilov Kasabov, Grace Y. Wang 2025-06-30T10:03:48Z 置信度 0.70
• Optimized Energy-Efficient Speed Control in Lightweight Electric Vehicle using Dynamic Spiking Graph Neural Network
  crossref M. Sivaramkrishnan, Bharani B R, D. Kavitha, G. Emayavaramban 等 2025-07-15T17:40:24Z 置信度 0.70
• Spiking Neural Network Based Low-Power Radioisotope Identification using FPGA
  crossref Xiaoyu Huang, Edward Jones, Siru Zhang, Shouyu Xie 等 2020-12-28T15:52:44Z 置信度 0.70
• Real-time cerebellar neuroprosthetic system based on a spiking neural network model of motor learning
  Abstract Objective . Damage to the brain, as a result of various medical conditions, impacts the everyday life of patients and there is still no complete cure to neurological disorders. Neuroprostheses that can functionally replace the damaged neural circuit h…
  crossref Tao Xu, Na Xiao, Xiaolong Zhai, Pak Kwan Chan 等 2017-11-08T06:15:13Z 置信度 0.70
• A Bio-Inspired Hierarchical Spiking Neural Network With Reward-Modulated STDP Learning Rule for AER Object Recognition
  crossref Qian Zhou, Xiaohu Li 2022-07-15T19:34:50Z 置信度 0.70
• Blended Glial Cell’s Spiking Neural Network
  crossref Liying Tao, Pan Li, Meihua Meng, Zonglin Yang 等 2023-04-18T17:39:34Z 置信度 0.70
• Author Response: Hippocampome.org 2.0 is 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 2024-02-12T12:16:15Z 置信度 0.70
• TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
  crossref Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra 等 2024-08-14T17:28:02Z 置信度 0.70
• Spiking Neural Network Models for Real-Time Sensory-Motor Integration in Bio-Inspisred Robotic Systems
  crossref Senthil Kumar S, Barath G, Maduvanthi S, Thulasi P 等 2026-04-15T19:22:44Z 置信度 0.70
• ViStream: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network
  crossref Kang You, Ziling Wei, Jing Yan, Boning Zhang 等 2025-08-13T17:26:42Z 置信度 0.70
• SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network
  crossref Kexin Wang, Jiahong Zhang, Yong Ren, Man Yao 等 2024-09-20T19:33:08Z 置信度 0.70
• SpikeMS: Deep Spiking Neural Network for Motion Segmentation
  crossref Chethan M. Parameshwara, Simin Li, Cornelia Fermuller, Nitin J. Sanket 等 2021-12-16T20:45:38Z 置信度 0.70
• Convolutive Kernel-Guarded Spiking Neural P Systems for Local Feature Computation
  Spiking Neural P systems provide a rule-based model of distributed computation inspired by membrane computing, while kernel P systems use guarded transformations and structured control of rule applicability. This paper introduces Convolutive Kernel-Guarded Spi…
  crossref Doru Constantin, Costel Bălcău 2026-06-01T07:23:50Z 置信度 0.70
• A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection
  crossref Samanwoy Ghosh-Dastidar, Hojjat Adeli 2009-04-23T04:43:07Z 置信度 0.70
• Raw event-based adversarial attacks for Spiking Neural Networks with configurable latencies
  crossref Xiao Du, Wanli Shi, Xiaohan Zhao, Yang Cao 等 2025-08-23T15:01:53Z 置信度 0.70
• Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields
  crossref Gang Wan, Qinlong Lan, Zihan Li, Huimin Wang 等 2026-08-06T14:44:29Z 置信度 0.70
• Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network
  crossref Elisa Donati, Melika Payvand, Nicoletta Risi, Renate Krause 等 2019-06-27T15:53:45Z 置信度 0.70
• A Spiking Neural Network Approach for Classifying Hand Movement and Relaxation from EEG Signal using Time Domain Features
  High-performance prosthetic and exoskeleton systems based on EEG signals can improve the quality of life of hand-impaired people. Effective controlling of these assistive devices requires accurate EEG signal classification. Although there have been advancement…
  crossref Mohammad Rubaiyat Tanvir Hossain, Md. Shafiul Islam Joy, Mohammed Hasibul Hasan Chowdhury 2025-01-21T08:07:09Z 置信度 0.70