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• Portfolio Selection with Convolutional Neural Network
  <p>In this work, we applied Convolutional Neural network (CNN) models to select the portfolio weights that lead to the highest realized return in one time-step ahead. In fact, given four possible portfolio optimization methods, the CNN is used to forecas…
  crossref Fahimeh Saei Manesh 2024-05-06T19:13:09Z 置信度 0.70
• Predicting Missing Regions in Charged Particle Tracks Using a Sparse 3D Convolutional Neural Network
  crossref Hilary Utaegbulam 2024-08-23T03:09:58Z 置信度 0.70
• Exploring 8-Bit Arithmetic for Training Spiking Neural Networks
  crossref T. Fernandez-Hart, T. Kalganova, James C. Knight 2024-08-15T17:18:58Z 置信度 0.70
• SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks
  crossref Xinyu Shi, Zecheng Hao, Zhaofei Yu 2024-09-16T17:34:53Z 置信度 0.70
• A Brain Tumor Segmentation Approach with Adaptive Threshold Optimization Numerical Spiking Neural P Systems
  crossref Jianping Dong, Gexiang Zhang, Haina Rong, Giancarlo Fortin 等 2025-01-20T18:39:20Z 置信度 0.70
• Training Process of Memristor-Based Spiking Neural Networks For Non-linearity
  crossref Tsu-Hsiang Chen, Chih-Chun Chang, Chih-Tsun Huang, Jing-Jia Lioul 2024-06-10T17:20:11Z 置信度 0.70
• spiking, adj.
  crossref 2023-07-19T17:18:24Z 置信度 0.70
• Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural Networks: from Algorithms to Technology
  crossref Souvik Kundu, Rui-Jie Zhu, Akhilesh Jaiswal, Peter A. Beerel 2024-03-18T18:56:31Z 置信度 0.70
• Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation
  Spiking Neural Networks (SNNs), inspired by the behavior of biological neurons, have gained significant research interest for resource-constrained edge devices and neuromorphic hardware due to their use of binary spike signals for inter-unit communication with…
  crossref Moqi Li, Xu Yang, Cheng Deng 2024-07-26T10:28:11Z 置信度 0.70
• Advancing Image Classification with Phase-coded Ultra-Efficient Spiking Neural Networks
  crossref Zhengyu Cai, Hamid Rahimian Kalatehbali, Ben Walters, Mostafa Rahimi Azghadi 等 2024-07-02T17:22:52Z 置信度 0.70
• Optimized Wasserstein Deep Convolutional Generative Adversarial Network fostered Groundnut Leaf Disease Identification System
  crossref Anna Anbumozhi, Shanthini A 2024-07-02T10:16:57Z 置信度 0.70
• Research on competition score prediction based on GA-BP neural network model and RBP inverse neural network model
  crossref Jiahang Zhang 2025-01-16T18:31:54Z 置信度 0.70
• Robust text-dependent speaker verification system using gender aware Siamese-Triplet Deep Neural Network
  crossref Sanghamitra V. Arora 2024-12-29T04:14:53Z 置信度 0.70
• Bayesian neural network and Bayesian physics-informed neural network via variational inference for seismic petrophysical inversion
  ABSTRACT Deep-learning methods are being successfully applied to seismic inversion and reservoir characterization problems; however, the uncertainty quantification process has not been fully studied. We investigate probabilistic approaches for seismic petrophy…
  crossref Peng Li, Dario Grana, Mingliang Liu 2024-07-31T09:13:05Z 置信度 0.70
• Identifying Recurrent Causal Activity Patterns in Spiking Neural Networks
  crossref Bradley Theilman, Felix Wang, Fredrick Rothganger, James Aimone 2025-11-08T08:01:47Z 置信度 0.70
• Convolutional spiking neural networks for intent detection based on anticipatory brain potentials using electroencephalogram
  Abstract Spiking neural networks (SNNs) are receiving increased attention because they mimic synaptic connections in biological systems and produce spike trains, which can be approximated by binary values for computational efficiency. Recently, the addition of…
  crossref Nathan Lutes, Venkata Sriram Siddhardh Nadendla, K. Krishnamurthy 2024-04-17T05:04:12Z 置信度 0.70
• Exploring the potential of self-pulsing optical microresonators for spiking neural networks and sensing
  crossref Stefano Biasi, Alessio Lugnan, Davide Micheli, Lorenzo Pavesi 2024-11-22T15:32:21Z 置信度 0.70
• spiking, n.²
  crossref 2023-07-19T17:18:24Z 置信度 0.70
• High Accurate, Low Latency Conversion of Spiking Neural Networks with BLIF Neurons
  crossref Zhongxi Wang, Shen Lil, Zhong Ma, Qin Yao 2024-10-29T17:28:50Z 置信度 0.70
• A temporally coded multilayer spiking neural network and its memristor-based hardware implementation
  crossref Haochang Jin, Xiuzhi Yang, Shuangbao Song, Zhenyu Song 等 2025-09-12T03:45:17Z 置信度 0.70
• Gesture Recognition via Transient sEMG Decomposition and Residual Spiking Neural Network
  crossref Lifen Wang, Jinting Ma, Jintao Chen, Yiyun Tan 等 2026-04-26T17:26:43Z 置信度 0.70
• WEI-SNNs: Spiking neural networks based on excitation-inhibition neurons and widening learnable time constants
  crossref Yuwei Chen, Jiawei Chen, Zhefei Cai, Yingle Fan 等 2025-08-25T23:23:12Z 置信度 0.70
• Research on target detection for autonomous driving based on ECS-spiking neural networks
  Abstract In response to the increasing demands for improved model performance and reduced energy consumption in object detection tasks relevant to autonomous driving, this research presents an advanced YOLO model, designated as ECSLIF-YOLO, which is based on t…
  crossref Miao Jin, Xiaohong Wang, Ce Guo, Shufan Yang 2025-04-21T06:25:12Z 置信度 0.70
• Prediction of Epileptic Seizure Using Neuroevolved Spiking Neural Network
  crossref Carlos-Alberto López-Herrera, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Jesús-Arnulfo Barradas-Palmeros 2025-03-07T07:22:11Z 置信度 0.70
• Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP inspired optimization algorithm
  crossref Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni 等 2025-06-14T18:39:51Z 置信度 0.70
• eLife Assessment: Neural signatures of motor memories emerge in neural network models
  crossref Rui Ponte Costa 2025-08-27T14:32:12Z 置信度 0.70
• A new learning algorithm based on neuronal activity degree for spiking neural network
  crossref Lu Zhang, Fang Liu, Jie Yang, Wei Wu 2025-09-03T06:52:07Z 置信度 0.70
• Fuzzy Neural Network Control of the Single‐Link Flexible Robotic Manipulator
  crossref 2025-01-03T21:38:05Z 置信度 0.70
• Bio-Inspired Spiking Neural Networks for Real-Time Biomedical Signal Processing
  crossref Rohan K. Shinde, Kishor D. Shinde, Pradeep B. Mane, Hrishikesh Mehta 2025-11-04T18:33:55Z 置信度 0.70
• On Training Spiking Neural Networks by Means of a Novel Quantum Inspired Machine Learning Method
  ABSTRACT In spite of the high potential shown by spiking neural networks (e.g., temporal patterns), training them remains an open and complex problem. In practice, while in theory these networks are computationally as powerful as mainstream artificial neural n…
  crossref Jean Michel Sellier, Alexandre Martini 2025-03-12T05:08:53Z 置信度 0.70
• Paddy Plant Disease Detection Using Deep Convolutional Neural Network and Quantum Neural Network
  crossref Pradeep B, Naidila Sadashiv, Nagamani N Purohit 2026-03-20T19:55:45Z 置信度 0.70
• SpikeNAS-Bench: Benchmarking NAS Algorithms for Spiking Neural Network Architecture
  crossref Gengchen Sun, Zhengkun Liu, Lin Gan, Hang Su 等 2025-01-27T14:10:56Z 置信度 0.70
• Energy-Efficient Stochastic Spiking Neural Network Hardware with 8T SRAM Array Utilizing Sub-Threshold Cascaded Current Mirrors and Stochastic CMOS Leaky Integrate-and-Fire Neurons
  crossref Honggu Kim, Yerim An, Dongjun Son, Jaeyoun Kim 等 2025-07-28T19:49:13Z 置信度 0.70
• Event-based facial microexpression analysis using Spiking Neural Networks
  crossref Nicolas Mastropasqua, Ignacio Bugueno-Cordova, Rodrigo Verschae, Daniel Acevedo 等 2025-12-29T18:36:25Z 置信度 0.70
• First demonstration of leaky-integrate and fire neuron based GAA nanosheet FET with ultra-low energy consumption down to 0.8fJ/spike for spiking neural network applications
  Abstract The fundamental component of an artificial spiking neural network (SNN) is an electronic device designed to emulate a biological neuron effectively. However, a key concern is the high energy consumption and large area associated with these artificial …
  crossref Madhu Kanche, Dannayak Venkata Sai Adwaith, Pavan Sai V, Venkata Ramakrishna Kotha 等 2025-05-08T22:58:20Z 置信度 0.70
• The Cost of Behavioral Flexibility: Reversal Learning Driven by a Spiking Neural Network
  crossref Behnam Ghazinouri, Sen Cheng 2024-09-06T03:31:29Z 置信度 0.70
• FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks
  crossref Nouhaila Innan, Alberto Marchisio, Muhammad Shafique 2026-01-23T20:56:01Z 置信度 0.70
• Simulating Synaptic Transmission and Learning Mechanisms in Spiking Neural Networks: From Biology to Neuromorphic Computing
  Synapses are fundamental units of communication within the nervous system, enabling electrical and chemical signal transmission between neurons. This paper explores the structure and function of biological synapses, with particular emphasis on their role in in…
  crossref Mingzhe Cai 2025-12-24T06:34:47Z 置信度 0.70
• Spiking Neural P Systems with Microglia and Delay on Synapses
  Spiking neural P systems with microglia (MSNP systems) belong to the third generating of artificial neural networks. It is a computational model inspired by biological neurons that transmit and process information through spikes, and by microglia that inhibit …
  crossref Zhen Yang, Lin Wang, Yuzhen Zhao 2026-03-12T17:40:26Z 置信度 0.70
• Adaptive Wall-Following Control for Unmanned Ground Vehicles Using Spiking Neural Networks
  crossref Hengye Yang, Yanxiao Chen, Zexuan Fan, Lin Shao 等 2025-11-27T18:54:45Z 置信度 0.70
• AI-Empowered Green Mobile Edge Computing: A Novel Framework of Spiking Neural Network Application
  crossref Hieu V. Nguyen, Thanh V. Vu, Phu X. Nguyen, Mai T. P. Le 等 2025-11-18T06:44:35Z 置信度 0.70
• Toward Relative Positional Encoding in Spiking Transformers
  crossref Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen 等 2026-08-06T14:44:29Z 置信度 0.70
• Artificial Neural Network
  crossref 2025-06-04T10:28:26Z 置信度 0.70
• Index
  crossref 2025-01-31T19:14:34Z 置信度 0.70
• Object Hardness Estimation With Optical Tactile Sensor Using Spiking Neural Network
  crossref Fei Wang, Haoyang Wu, Qiyuan Xi, Xun Jiang 等 2025-10-27T17:57:29Z 置信度 0.70
• Correction: Polaris 23: a high throughput neuromorphic processing element by RISC-V customized instruction extension for spiking neural network (RV-SNN 2.0) and SIMD-style implementation of LIF model with backpropagation STDP
  crossref Jixiang Zong, Jiulong Wang, Guirun Li, Ruopu Wu 等 2025-02-17T20:36:37Z 置信度 0.70
• Attacking the spike: On the security of spiking neural networks to adversarial examples
  crossref Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun 等 2025-09-12T06:58:59Z 置信度 0.70
• Design Space Exploration of FPGA-Based Spiking Neural Networks for Angle of Arrival Detection
  crossref Cristina Bermúdez-Martín, Samuel López-Asunción, Pablo Ituero 2025-12-11T18:44:08Z 置信度 0.70
• Gesture Recognition for EMG Signals using Spiking Neural Networks
  crossref Keerthi Krishna Munjeti, Vijaya Kumar K, Swetha M, Kanchana S 等 2026-03-23T20:01:20Z 置信度 0.70
• DevNCA: Co-Evolving Developmental Patterns and Plasticity Rules for Self-Organising Spiking Neural Networks
  The developing nervous system is not silent, before birth most amniote animals exhibit spontaneous neural activity. This activity has further been shown to play a role in structuring neural tissue, a finding which has since inspired work with artificial neural…
  crossref Benjamin Gaskin 2025-12-08T16:36:43Z 置信度 0.70
• Implementation of Spiking Neural Network with Wireless Communications
  crossref Ryuya Hiraoka, Kazuki Matsumoto, Kien Nguyen, Hiroyuki Torikai 等 2019-12-05T18:03:03Z 置信度 0.70
• Data Encryption Method for Financial Approval Workflow in Public Institutions Based on Spiking Neural Network Technology
  With the advent of the digital and intelligent finance era, in recent years, criminals have frequently utilized artificial intelligence technology to forge and tamper with financial data. Additionally, incidents of financial data and personal privacy breaches …
  crossref Aiying Ye, Qi Liu, Lili Zhou 2025-03-11T13:12:23Z 置信度 0.70
• Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method
  crossref Xiurui Xie, Hong Qu, Zhang Yi, Jurgen Kurths 2016-03-30T22:07:49Z 置信度 0.70
• Abrupt Change Detection of ECG by Spiking Neural Networks: Policy-Aware Operating Points for Edge-Level MI Screening
  Electrocardiogram (ECG) monitoring on low-power edge devices requires models that balance accuracy, latency, and energy consumption. This study evaluates abrupt change detection in ECG using spiking neural networks (SNNs) trained on spike-encoded signals that …
  crossref Youngseok Lee 2025-11-18T09:58:42Z 置信度 0.70
• Contents
  crossref 2025-01-31T19:14:15Z 置信度 0.70
• Heart Attack Risk Prediction Using Spiking Neural Networks with Poisson-Based Temporal Encoding
  crossref Amina Almarzouqi, Syed Azizur Rahman, Said Salloum, Nabeel Al-Yateem 2025-08-26T19:04:13Z 置信度 0.70
• ECG signal pre-processing method for electrocardiogram classification using spiking neural networks
  The medical analysis of ECG is based on visual examination by cardiologists, which is a subjective and labor-intensive process and includes the factor of human error. With the advent of analysis based on artificial intelligence systems or algorithmic data proc…
  crossref Dmytro Myloserdov, Oleg Kolesnytskyi 2025-12-09T13:32:37Z 置信度 0.70
• Inference of Electrical Neural Stimulation Sensitivity from Recorded Spiking Activity Using Artificial Neural Networks
  crossref Ethan J. Kato, Praful K. Vasireddy, Amrith P. Lotlikar, Jeff B. Brown 等 2026-07-09T19:41:45Z 置信度 0.70
• Disturbance Observer‐Based Neural Network Control of a Flexible Flapping‐Wing System
  This chapter develops the visualization model of the rigid-flexible coupled bionic flapping wing by the advanced system-level modeling software MapleSim. A novel neural network controller based on disturbance observer technology is proposed to compensate for t…
  crossref 2025-01-03T21:38:05Z 置信度 0.70
• ECSNN: Spiking Neural Networks for Efficient Exposure Correction in Endoscopy Imaging
  crossref Jun Zhang, Zhuoran Zheng, Jingang Zhang, Wenqi Ren 2025-03-12T13:52:43Z 置信度 0.70
• Neuromorphic Deployment of Spiking Neural Networks for Cognitive Load Classification in Air Traffic Control
  crossref Jiahui An, Chonghao Cai, Olympia Gallou, Sara Irina Fabrikant 等 2026-01-21T21:07:17Z 置信度 0.70
• SNN-GST: Gradient-Based Security Testing Method for Spiking Neural Networks
  crossref Lei Xu, Guohui Nie, Haibin Zheng, Chenlu Ma 等 2025-05-29T17:06:09Z 置信度 0.70
• Mapping Spiking Neural Networks to Heterogeneous Crossbar Architectures using Integer Linear Programming
  crossref Devin Pohl, Aaron Young, Kazi Asifuzzaman, Narasinga Rao Miniskar 等 2025-05-21T17:36:35Z 置信度 0.70
• Botnet Detection Mechanism Using Graph Neural Network
  Botnet Detection Mechanism Based On Graph Neural Network Aleksander Maksimoski, 2023. Master of Applied Science Computer Networks Toronto Metropolitan University, Toronto, Ontario, Canada. A botnet is a group of computers that are infected by malware, which ca…
  crossref Aleksander Masimoski 2025-12-04T18:45:26Z 置信度 0.70
• Behavior Recognition Model for Pigs Based on Convolutional Neural Network (CNN) Model EfficientNet and Recurrent Neural Network (RNN) Model BiLSTM
  crossref Nan Li, Han Yang 2025-05-27T17:05:15Z 置信度 0.70
• Botnet Detection Mechanism Using Graph Neural Network
  Botnet Detection Mechanism Based On Graph Neural Network Aleksander Maksimoski, 2023. Master of Applied Science Computer Networks Toronto Metropolitan University, Toronto, Ontario, Canada. A botnet is a group of computers that are infected by malware, which ca…
  crossref Aleksander Masimoski 2025-12-04T18:45:25Z 置信度 0.70
• Spiking Neural Belief Propagation Decoder for LDPC Codes with Small Variable Node Degrees
  crossref Alexander von Bank, Eike-Manuel Edelmann, Jonathan Mandelbaum, Laurent Schmalen 2025-04-11T17:52:20Z 置信度 0.70
• Language-based reasoning graph neural network for commonsense question answering
  crossref Meng Yang, Yihao Wang, Yu Gu 2024-10-18T22:21:44Z 置信度 0.70
• SpiCAE: Spiking Contrastive Learning and Autoencoder for Network Intrusion Detection
  crossref Elijah Sagaran, Jacob Spier, Rashida Hasan 2026-02-16T21:03:05Z 置信度 0.70
• Can invisible physical events easily fool spiking neural networks?
  crossref Adir Hazan, Ido Avrahami, Adrian Stern 2025-10-27T23:15:47Z 置信度 0.70
• Real-Time Optimization of 5G/6G Signal Transmissions Using Spiking Neural Networks and Asynchronous Federated Learning
  crossref Yongtao Wei, Siqi Wang, Farid Nait-Abdesselam, Aziz Benlarbi-Delai 2025-09-30T17:36:40Z 置信度 0.70
• Spiking neural network-based energy-efficient framework for real-time robotic arm manipulation
  crossref Ashok Kumar Saini, Naveen Gehlot, Rajesh Kumar, Surender Hans 等 2026-01-18T03:08:54Z 置信度 0.70
• AEFSNN: Adaptive Filtering Spiking Neural Network for Event-Based Sensors
  Dynamic Vision Sensor (DVS) is an event-based imaging technology inspired by biological photoreceptors, which holds great promise for edge computing. The event streams produced by DVS are often contaminated by Background Activity (BA) noise and hot-pixel noise…
  crossref Yue Xu, Ye Zhao, Yumeng Ren, Long Chen 等 2026-02-20T10:32:37Z 置信度 0.70
• Spiking Neural Networks with Energy to Spike Encoding for Label-Free Detection in Distributed Acoustic Sensing
  crossref Mohd Safuwan Shahabudin, Jafreezal Jaafar, Irving Vitra Paputungan 2025-12-12T18:33:24Z 置信度 0.70
• Research on low illumination image enhancement algorithm based on convolutional neural network
  crossref Jian Li 2025-12-19T07:54:19Z 置信度 0.70
• Area Efficient Hardware Architecture of Spiking Neural Networks Based on Sign-Magnitude Stochastic Computing
  crossref Thai N. Nguyen, Jun-Xiang Shi, Vinh T. Nguyen, Shao-I Chu 等 2025-10-06T21:40:37Z 置信度 0.70
• Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks
  crossref Jiachen Li, Bang Wu, Xiaoyu Xia, Xiaoning Liu 等 2026-01-30T21:00:02Z 置信度 0.70
• S2TE: Staged Scale-Free Topology Evolution for Sparse Spiking Neural Networks
  crossref Zaipeng Xie, Wei Zhu, Peixin Li, Haotian Ding 等 2026-03-03T09:22:43Z 置信度 0.70
• Prediction and Optimization of Mechanical Properties of Water Hyacinth Fiber‐Reinforced Polymer Composites Using Spiking Neural Networks
  ABSTRACT The research examines a spike neural networks (SNNs) model that uses trust region policy optimization (TRPO) to predict the mechanical properties of water hyacinth fiber‐reinforced composites, focusing specifically on their tensile and compressive str…
  crossref Rathinam Maruthalingam Asha, Ranganathan Balaraman 2026-04-09T05:01:48Z 置信度 0.70
• An FPGA-Based SoC Architecture with a RISC-V Controller for Energy-Efficient Temporal-Coding Spiking Neural Networks
  crossref Mohammad Javad Sekonji, Ali Mahani, Maryam Mirsadeghi, Mahdi Taheri 2026-06-18T20:06:41Z 置信度 0.70
• Unsupervised Signal Decomposition and Tracking Using Hyperdimensional Computing and Spiking Neural Networks
  crossref Ianislav Trendafilov 2026-08-09T22:36:16Z 置信度 0.70
• DNM-SNN: Spiking Neural Network Based on Dual Network Model
  crossref Zhen Cao, Hongwei Zhang, Qian Wang, Chuanfeng Ma 2022-10-18T23:03:00Z 置信度 0.70
• Spiking neural network based scrambled watermark hiding in low-frequency region of digital image
  crossref Sunesh Malik, R. Rama Kishore 2020-04-29T04:02:32Z 置信度 0.70
• Fast Wavelet Transform Based on Spiking Neural Network for Visual Images
  crossref Zhenmin Zhang, Qingxiang Wu, Zhiqiang Zhuo, Xiaowei Wang 等 2013-07-05T07:39:23Z 置信度 0.70
• Spiking Neural Network based Real-time Radar Gesture Recognition Live Demonstration
  crossref Jiaxin Huang, Pascal Gerhards, Felix Kreutz, Bernhard Vogginger 等 2022-09-05T20:21:42Z 置信度 0.70
• Two-Stream Spiking Neural Network for Event-based Action Recognition
  crossref Shuang Lian, Qianhui Liu, Ziling Wang, Jia Su 等 2025-03-12T17:15:19Z 置信度 0.70
• Movement Generation with Circuits of Spiking Neurons
  How can complex movements that take hundreds of milliseconds be generated by stereotypical neural microcircuits consisting of spiking neurons with a much faster dynamics? We show that linear readouts from generic neural microcircuit models can be trained to ge…
  crossref Prashant Joshi, Wolfgang Maass 2005-05-31T23:28:36Z 置信度 0.70
• Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
  We propose that in order to harness our understanding of neuroscience toward machine learning, we must first have powerful tools for training brain-like models of learning. Although substantial progress has been made toward understanding the dynamics of learni…
  crossref Samuel Schmidgall, Joe Hays 2022-06-28T21:55:11Z 置信度 0.70
• Self-Adaptive Leakage Mechanism in Spiking Neural Networks Using Inter-Spike Interval Modulation
  crossref Chu Yu, Hong-Sheng Chen, Chi-Wang Chang, Mao-Huan Huang 等 2026-08-24T19:12:36Z 置信度 0.70
• Exponential stability of the stationary distribution of a mean field of spiking neural network
  crossref Audric Drogoul, Romain Veltz 2020-09-21T07:45:41Z 置信度 0.70
• FTP: Filtered Temporal-Population for time series encoding in Spiking Neural Network
  crossref Hyunwon Lee, Won-Seok Hong, Kwon Hong, Hyun-Soo Choi 2025-07-30T15:18:30Z 置信度 0.70
• Optimizing energy-efficient cluster head selection in wireless sensor networks using a binarized spiking neural network and honey badger algorithm
  crossref Allan J Wilson, Kiran W．S, A.S. Radhamani, A. Pon Bharathi 2024-06-12T21:22:30Z 置信度 0.70
• Spiking Neurons and the First Passage Problem
  We derive a model of a neuron’s interspike interval probability density through analysis of the first passage problem. The fit of our expression to retinal ganglion cell laboratory data extracts three physiologically relevant parameters, with which our model y…
  crossref Lawrence Sirovich, Bruce Knight 2011-04-15T04:44:11Z 置信度 0.70
• Introduction
  crossref 2025-11-28T07:11:02Z 置信度 0.70
• Self-control with spiking and non-spiking neural networks playing games
  crossref Chris Christodoulou, Gaye Banfield, Aristodemos Cleanthous 2009-11-27T21:51:46Z 置信度 0.70
• Fault-tolerance Mapping of Spiking Neural Networks to RRAM-based Neuromorphic Hardware
  crossref Yuqing Xiong, Cao Xiao, Zhijie Yang, Lei Wang 等 2026-06-04T19:53:10Z 置信度 0.70
• Spiking Neural P Systems with a Generalized Use of Rules
  Spiking neural P systems (SN P systems) are a class of distributed parallel computing devices inspired by spiking neurons, where the spiking rules are usually used in a sequential way (an applicable rule is applied one time at a step) or an exhaustive way (an …
  crossref Xingyi Zhang, Bangju Wang, Linqiang Pan 2014-08-23T02:29:02Z 置信度 0.70
• A multiple spiking neural network architecture based on fuzzy intervals for anomaly detection: a case study of rail defects
  crossref Wassamon Phusakulkajorn, Jurjen Hendriks, Jan Moraal, Rolf Dollevoet 等 2022-09-14T19:39:59Z 置信度 0.70
• A modified supervised learning rule for training a photonic spiking neural network to recognize digital patterns
  crossref Yahui Zhang, Shuiying Xiang, Xingxing Guo, Aijun Wen 等 2021-01-22T15:27:47Z 置信度 0.70
• A Multi-Angle Encoding Spiking Convolutional Neural Network for Remote Sensing Classification
  crossref Xiang Li, Jingwei Zhang, Peng Wang, Yanrong Wang 等 2025-03-03T18:27:20Z 置信度 0.70