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• Network Traffic Prediction Based on Spiking-Inspired Transformer
  crossref Kai Li, Lizhe Liu, Xiaobo Guo, Qifan Guo 等 2025-05-29T11:13:43Z 置信度 0.70
• Spatial-Frequency Spiking Neural Network for Underwater Object Detection
  Underwater object detection presents significant challenges due to the unique visual degradations in underwater environments, such as low contrast, poor visibility, and blurry object boundaries. While ANNs have achieved impressive detection accuracy, their hig…
  crossref Long Chen, Wei Miao, Xin Gao, Yunzhi Zhuge 等 2026-03-18T01:15:30Z 置信度 0.70
• Spiking Neural Network Learning Algorithms For Neuromorphic Hardware Efficiency
  crossref Ashish Sharma, Saraswati B, Dr. S Subburam, Dr. V Malsoru 等 2026-07-09T11:09:57Z 置信度 0.70
• Towards Automated FPGA Compilation of Spiking Neural Networks
  crossref Ayan Shymyrbay, Mohammed E. Fouda, Ahmed Eltawil 2024-07-19T17:30:48Z 置信度 0.70
• MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks
  crossref Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda 2024-03-25T19:06:53Z 置信度 0.70
• Reduced-complexity Convolutional Neural Network in the compressed domain
  crossref Hamdan Abdellatef, Lina J. Karam 2023-10-24T05:43:17Z 置信度 0.70
• A Spiking Neural Network Action Decision Method Inspired by Basal Ganglia
  crossref Tianyong Ao, Qiuping Liu, Le Fu, Yi Zhou 2024-11-29T20:24:17Z 置信度 0.70
• Predicting the remaining useful life of rails based on improved deep spiking residual neural network
  crossref Jing He, Zunguang Xiao, Changfan Zhang 2024-06-05T10:57:12Z 置信度 0.70
• Classification of Chilli Variations Using a Reservoir Spiking Neural Network
  crossref Muhammad Raihaan Kamarudin, Muhammad Noorazlan Shah Zainudin, Wira Hidayat Mohd Saad, Zul Atfyi Fauzan 等 2026-04-15T19:23:29Z 置信度 0.70
• High-performance in domain matching epitaxial La:HfO2 film memristor for spiking neural network system application
  crossref Xiaobing Yan, Jiangzhen Niu, Ziliang Fang, Jikang Xu 等 2024-10-15T19:03:16Z 置信度 0.70
• Deep convolutional spiking neural network and block chain based intrusion detection framework for enhancing privacy and security in cloud computing environment
  crossref B. Muthusenthil, K. Devi 2025-12-31T23:33:50Z 置信度 0.70
• An Evaluation of Handwriting Digit Recognition Using Multilayer SAM Spiking Neural Network
  crossref Minoru Motoki, Heitaro Hirooka, Youta Murakami, Ryuji Waseda 等 2024-01-31T09:16:09Z 置信度 0.70
• Exploring Noise- Resilient Spiking Neural Encoding using ∑†∑ Neurons
  crossref R. Sreekumar, Faiyaz E. Mullick, Md Golam Morshed, Avik W. Ghosh 等 2024-09-16T17:34:29Z 置信度 0.70
• Graph Neural Network for Human Parsing
  crossref Weibin Liu, Huaqing Hao, Hui Wang, Zhiyuan Zou 等 2025-01-03T05:30:41Z 置信度 0.70
• DAC-SNN: A Neuromorphic Adaptive Spiking Neural Network for Predictive Quality Assessment in Smart Campus Systems
  crossref Harmayani, Poltak Sihombing, Mahyuddin K. M. Nasution, Marischa Elveny 2026-01-20T01:07:12Z 置信度 0.70
• EEG decoding with attention-augmented photonic spiking neural network based on multi-timescale laser neurons
  crossref Yanan Han, Qing Bi, Shuiying Xiang, YAHUI ZHANG 等 2026-05-21T07:00:07Z 置信度 0.70
• Enhancing Opinion Mining of Twitter Data With A Deep Convolutional Spiking Neural Network and Balancing Composite Motion Optimization
  Social media is the most popular platform for opinion expression. Sentiment analysis is the process of acquiring information about things, events and their characteristics out of people’s views, assessments and feelings. Opinion mining is an alternative term f…
  crossref G. N. Balaji, P. Sudhakaran 2026-03-13T15:33:56Z 置信度 0.70
• Equilibrium Propagation with Predictive Learning in Leaky Integrate-and-Fire Spiking Neural Networks
  Abstract Equilibrium propagation (EP) is a biologically plausible alternative to backpropagation that has demonstrated competitive performance across a range of machine learning tasks. Recent work has extended EP to spiking neural networks (SNNs), leveraging l…
  crossref Yoshimasa Kubo 2026-05-22T03:10:24Z 置信度 0.70
• Systematic Evaluation of Biologically Inspired Motion Detection Models: From LGMD and EMD to Hybrid Spiking Neural Networks.
  europepmc 2026 置信度 0.80
• Neuromorphic Behaviors with Nanofluidic Memristor-Coupled Hodgkin-Huxley Neurons.
  europepmc 2026 置信度 0.80
• A bioinspired photoelectrochemical synapse for neurotransmitter-mediated in-sensor computing.
  europepmc 2026 置信度 0.80
• Computational modeling of spatiotemporal afterimage visual perception with spiking neural networks.
  europepmc 2026 置信度 0.80
• Spatiotemporal Decoupled Learning for Spiking Neural Networks.
  europepmc 2026 置信度 0.80
• PicoSleepNet: An Ultra Lightweight Sleep Stage Classification by Spike Neural Network Using Single-Channel EEG Signal.
  europepmc 2026 置信度 0.80
• NG-SNN: A neurogenesis-inspired dynamic adaptive framework for efficient spike classification.
  europepmc 2026 置信度 0.80
• LiWO-SRDN-based EV charging coordination for stable smart grid systems using a single-switch high step-up zeta converter.
  europepmc 2026 置信度 0.80
• Discrete memristive spiking neural networks: investigating information flow, synchronization, and emergent intelligence.
  europepmc 2026 置信度 0.80
• EMM-Det: Energy-Efficient Multidrone Tiny Object Detection by Memory-Enhanced Spiking Neural Networks.
  europepmc 2026 置信度 0.80
• Amphibian-inspired neuromorphic dynamic vision systems based on ferroelectric field-effect transistor.
  europepmc 2026 置信度 0.80
• Model-agnostic linear-memory online learning in spiking neural networks.
  europepmc 2026 置信度 0.80
• Temporal local attention with adaptive decoding: Enhancing spiking neural networks for temporal computing applications.
  europepmc 2026 置信度 0.80
• Channelwise Regional Integrate and Multiple Firing Neuron: Improving the Spatiotemporal Learning of Spiking Neural Networks.
  europepmc 2026 置信度 0.80
• A Highly Linear Analog-to-Spike Converter
  preprints 2026 置信度 0.74
• Cortical excitability inversely modulates fMRI connectivity via low-frequency neuronal coupling
  preprints 2026 置信度 0.74
• An Efficient Computing Theory of Prefrontal Structured Working Memory Representations
  A bstract The efficient coding hypothesis presents a compelling success story for theoretical and systems neu-roscience. It marshals a unifying idea, that neural codes can be understood as efficient encodings of natural stimuli, to explain phenomena from acros…
  preprints 2026 置信度 0.74
• Three-photon holographic microscopy for deep precise optogenetics
  Abstract Precise manipulation of neurons across cortical layers requires optical approaches that maintain single-cell specificity deep within scattering brain tissue. Two-photon optogenetics provides targeted photostimulation in vivo and has expanded experimen…
  preprints 2026 置信度 0.74
• Attention-like regulation of theta sweeps in the brain’s spatial navigation circuit
  preprints 2026 置信度 0.74
• Gamma oscillations across recording scales show a preference for saturated long-wavelength (reddish) hues in the primate visual cortex
  preprints 2026 置信度 0.74
• Cross-individual translation of spontaneous zebrafish brain activity through a shared latent representation
  preprints 2026 置信度 0.74
• Inhibition of cortico-amygdala projections underlies affective bias modification by psilocybin
  preprints 2026 置信度 0.74
• Opening the black box: a modular approach to spike sorting
  preprints 2026 置信度 0.74
• Integer-State Dynamics in Quantized Spiking Neural Networks: Implications for Hardware-Oriented Design
  Spiking neural networks (SNNs) support energy-efficient machine intelligence because event-driven computation and sparse activity map naturally to low-power digital hardware. In practical implementations, however, membrane states, synaptic weights, and thresho…
  crossref Lei Zhang 2026-04-21T11:42:45Z 置信度 0.70
• Hybrid Spike-Encoded Spiking Neural Networks for Real-Time EEG Seizure Detection: A Comparative Benchmark
  Reliable and low-latency seizure detection from electroencephalography (EEG) is critical for continuous clinical monitoring and emerging wearable health technologies. Spiking neural networks (SNNs) provide an event-driven computational paradigm that is well su…
  europepmc Ali Mehrabi, Neethu Sreenivasan, Upul Gunawardana, Gaetano Gargiulo 2026 置信度 0.80
• Memory device based on memristor-diode crossbar and control CMOS logic for spiking neural network hardware
  crossref A.N. Busygin, A.D. Pisarev, S. Yu Udovichenko, A.H.A. Ebrahim 2025-06-07T02:33:00Z 置信度 0.70
• Correction: Integrated dynamic spiking neural P systems for fault line selection in distribution network
  crossref Song Ma, Qiang Yang, Gexiang Zhang, Fei Li 等 2024-08-24T03:02:49Z 置信度 0.70
• Enhanced Detection of Epileptic Seizure Using Hybrid Framework of Slantlet Transform and Spiking Neural Network Model
  crossref Smitaranjan Tripathy, Subir Biswas, Adyasha Rath, Prabodh Kumar Sahoo 等 2025-10-27T18:05:43Z 置信度 0.70
• New method for assessing suicide ideation based on an attention mechanism and spiking neural network
  The COVID-19 pandemic has had a substantial effect on global mental health, leading to increased depression and suicide ideation (SI), particularly among young adults. This study introduces a novel method for enhancing SI assessment in young adults with depres…
  crossref Corrine Francis, Abdulrazak Yahya Saleh Al-Hababi 2024-11-29T15:21:29Z 置信度 0.70
• STRA-SNN: Spatio-Temporal Residual Attention Mechanism in Spiking Neural Network for Efficient Classification of Event Stream Data
  crossref Qian Cheng, Xingming Tang, Shukai Duan, Lidan Wang 2025-08-21T18:17:59Z 置信度 0.70
• Sentence-level sentiment classification model based on echo spiking neural P systems
  crossref Lingyun Zhang, Hong Peng, Jun Wang 2026-06-14T16:51:50Z 置信度 0.70
• AwF-SNN: Fixed-Mask Continuity-Preserving Temporal State-Transition Compression for Spiking Neural Networks
  crossref Pengliang Yu, Shouwei Gao, Zichao Hong, Zihao Zhu 2026-08-31T05:20:33Z 置信度 0.70
• Adaptive Multi-Threshold Encoding for Energy-Efficient ECG Classification Architecture Using Spiking Neural Network
  crossref Sumit Diware, Yingzhou Dong, Mohammad Amin Yaldagard, Said Hamdioui 等 2025-05-21T17:36:35Z 置信度 0.70
• Spiking neural network with time-varying weights for rail squat detection
  crossref Wassamon Phusakulkajorn, Jurjen Hendriks, Zili Li, Alfredo Núñez 2025-08-08T15:10:48Z 置信度 0.70
• Feature-Optimized Intrusion Detection Based on a Hybrid Spiking Neural Network for the Internet of Things
  The intrusion detection system (IDS) has gained significant attention due to its ability to enhance network utilization. However, different types of IDS approaches have been developed in traditional research that concentrate on recognizing intrusions from data…
  crossref Manu Gorur Vishwanath, Ananda Babu Jayachandra, Chin-Ling Chen, Ling-Chun Liu 2025-11-20T13:48:06Z 置信度 0.70
• Fuzzy and Spiking Neural Network-based Secure Data Exchange Framework for Autonomous Vehicle
  crossref Nishi Patel, Dhyan Patel, Nilesh Kumar Jadav, Sudeep Tanwar 等 2024-03-21T17:52:49Z 置信度 0.70
• Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning
  crossref Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran 2022-07-18T20:34:30Z 置信度 0.70
• Energy-Efficient Fall Detection Using Conditional Dual-Path Spiking Neural Networks with Hierarchical Temporal Dynamics
  crossref Xiangting Li, Yangyang Huang, Linxiang Su, Siqiong Yao 等 2026-06-18T20:06:41Z 置信度 0.70
• Adversarial Training for Robust Spiking Neural Networks via Boundary Stability Estimation
  crossref Haonan Li, Xiurui Xie, Yupeng Liu, Qiugang Zhan 等 2026-05-08T09:25:41Z 置信度 0.70
• Study of the Possibility of Analyzing Changes in the State of a Complex Technical System Using a Spiking Neural Network Based on a Compartmental Neuron Model
  crossref Ivan Fomin, Anton Korsakov, Alexandr Bakhshiev 2025-10-11T04:38:03Z 置信度 0.70
• Attention-Enhanced Multi-Branch Spiking Neural Network for Event Stream Super-Resolution
  crossref Ahmadreza Sezavar, Catarina Brites, João Ascenso 2026-02-03T20:53:35Z 置信度 0.70
• Training a Spiking Neural Network Taking into Account the Operational Features of a Memristive Crossbar Array
  crossref A. P. Dudkin, E. A. Ryndin, N. V. Andreeva 2025-09-01T11:46:50Z 置信度 0.70
• A VLSI Spiking Feedback Neural Network with Negative Thresholding and Its Application to Associative Memory
  crossref K. SASAKI, T. MORIE, A. IWATA 2006-11-10T04:48:22Z 置信度 0.70
• Spiking Neural Network Classification Method in Motor Imagery Brain-Computer Interface
  crossref Ping Tan, Han Xiao, Han Zou, Kun Liu 等 2023-10-18T17:43:48Z 置信度 0.70
• Design and fpga implementation of an embedded real-time biologically plausible spiking neural network processor
  crossref M.J. Pearson, C. Melhuish, A.G. Pipe, M. Nibouche 等 2005-10-12T13:27:51Z 置信度 0.70
• Paradigms for Computing with Spiking Neurons
  crossref Wolfgang Maass 2012-11-09T13:15:38Z 置信度 0.70
• Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms
  crossref Gianvito Urgese, Francesco Barchi, Enrico Macii, Andrea Acquaviva 2016-06-15T19:36:02Z 置信度 0.70
• Silicon-Based Integrated Diffractive Optical Neural Network Chip
  crossref Tingzhao Fu 2026-01-02T03:40:31Z 置信度 0.70
• Adaptive spiking neural networks with Hodgkin-Huxley neurons and Hebbian learning
  crossref Lyle N. Long 2011-10-06T13:24:17Z 置信度 0.70
• Prediction of Electronic and Structural Properties in Two-Dimensional Materials Employing Spiking Deep Residual Network
  Two-dimensional (2D) materials exhibit unique electronic and structural properties, but accurately predicting these characteristics remains challenging due to complex feature interactions and computational constraints. This paper proposes a Prediction of Elect…
  crossref Megha Gupta Chaudhary, Sushil Kumar, Sarvendra Kumar, Nitin Kumar 2026-03-05T16:03:01Z 置信度 0.70
• Design Partition in a Spiking Neural Arrange of Hippocampus Vigorous to Imbalanced Excitation/Inhibition in Mesh Network
  Proficient design division in dentate gyrus plays an imperative part in putting away data within the hippocampus. Current information of the structure and work of the hippocampus, entorhinal cortex, and dentate gyrus, in design partition are joined in this wor…
  crossref Shubha Mishra 2022-11-13T20:40:36Z 置信度 0.70
• L-Shaped Double Gate Bipolar Impact Ionization MOSFET Based Energy Efficient Leaky Integrate and Fire Neuron for Spiking Neural Network
  crossref Saheli Sarkhel, Tripty Kumari, Priyanka Saha 2023-10-09T19:36:45Z 置信度 0.70
• Study of power-law activity distributions in a spiking neural network model
  Abstract Neuronal avalanches are cascades of bursts of activity observed primarily in the superficial cortical layers, the distribution of which fits a power law well. Motivated by the observation, we study how a power-law activity distribution emerges in a sp…
  crossref Myoung Won Cho, M. Y. Choi 2023-07-27T18:29:01Z 置信度 0.70
• A Reconfigurable Digital Compute-In-Memory Heterogeneous Macro for Differential Frame Convolution and Spiking Neural Network
  crossref Cheng Zhao, Li Lun, Zhenhui Dai, Haozhe Chen 等 2025-06-27T17:42:19Z 置信度 0.70
• A convolutional spiking neural network combined with residual blocks for electronic nose data processing
  crossref Biao Wu, Xinran Ge, Huisheng Zhang, Jia Yan 2023-06-08T17:10:22Z 置信度 0.70
• A 90nm 103.14 TOPS/W Binary-Weight Spiking Neural Network CMOS ASIC for Real-Time Object Classification
  crossref Po-Yao Chuang, Pai-Yu Tan, Cheng-Wen Wu, Juin-Ming Lu 2020-10-09T19:57:03Z 置信度 0.70
• Spiking neural network classification of X-ray chest images
  crossref Marco Gatti, Jessica Amianto Barbato, Claudio Zandron 2025-02-24T11:25:27Z 置信度 0.70
• Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance
  Spiking neural network (SNN) is promising but the development has fallen far behind conventional deep neural networks (DNNs) because of difficult training. To resolve the training problem, we analyze the closed-form input-output response of spiking neurons and…
  crossref Shibo Zhou, Xiaohua Li, Ying Chen, Sanjeev T. Chandrasekaran 等 2022-09-08T15:35:00Z 置信度 0.70
• Defects Recognition of Train Wheelset Tread Based on Improved Spiking Neural Network
  crossref Changfan Zhang, Congcong Huang, Jing He 2023-09-26T14:00:55Z 置信度 0.70
• SDDC-Net: A U-shaped deep spiking neural P convolutional network for retinal vessel segmentation
  crossref Bo Yang, Lang Qin, Hong Peng, Chenggang Guo 等 2023-03-09T08:14:27Z 置信度 0.70
• Medical Diagnosis Model based on Spiking Neural Network considering Normalization of Histogram and Wavelet Transform Features of Medical Images
  crossref Ashish Kumar Dehariya, Pragya Shukla 2021-07-05T12:33:11Z 置信度 0.70
• Real-Time Spiking Neural Network: An Adaptive Cerebellar Model
  crossref Christian Boucheny, Richard Carrillo, Eduardo Ros, Olivier J. -M. D. Coenen 2011-01-13T09:48:09Z 置信度 0.70
• Recognizing patterns in images using a small spiking neural network
  crossref Aleksander V. Kurbako, Dmitry M. Ezhov, Mikhail D. Prokhorov, Vladimir I. Ponomarenko 2024-10-21T17:18:23Z 置信度 0.70
• A spiking neural network with fixed synaptic weights based on logistic maps for a classification task
  crossref Alexander Sboev, Dmitriy Kunitsyn, Alexey Serenko, Roman Rybka 2022-11-14T10:17:05Z 置信度 0.70
• A Spiking Neural Network With Spike-Timing-Dependent Plasticity for Surface Roughness Analysis
  crossref Chunming Jiang, Le Yang, Yilei Zhang 2021-10-15T23:43:23Z 置信度 0.70
• A Hybrid Spiking Recurrent Neural Network on Hardware for Efficient Emotion Recognition
  crossref Chenglong Zou, Xiaoxin Cui, Yisong Kuang, Yuan Wang 等 2022-09-05T20:21:42Z 置信度 0.70
• Reproducibility Report for the Paper: “Evaluating Performance of Spintronics-Based Spiking Neural Network Chips using Parallel Discrete Event Simulation”
  crossref Adriano Pimpini 2022-06-10T15:39:15Z 置信度 0.70
• Event-Based Optical Flow Estimation with Spatio-Temporal Backpropagation Trained Spiking Neural Network
  The advantages of an event camera, such as low power consumption, large dynamic range, and low data redundancy, enable it to shine in extreme environments where traditional image sensors are not competent, especially in high-speed moving target capture and ext…
  crossref Yisa Zhang, Hengyi Lv, Yuchen Zhao, Yang Feng 等 2023-01-16T02:29:55Z 置信度 0.70
• Macroscopic neural mass model constructed from a current-based network model of spiking neurons
  crossref Hiroaki Umehara, Masato Okada, Jun-nosuke Teramae, Yasushi Naruse 2017-02-06T14:57:07Z 置信度 0.70
• Biologically inspired tonic and bursting LIF neuron model for spiking neural network: a CMOS implementation
  crossref M. A. Seenivasan, Adarsh V. Parekkattil, Rekib Uddin Ahmed, Prabir Saha 2024-09-10T16:17:53Z 置信度 0.70
• Design and Analysis of Real Time Spiking Neural Network Decoder for Neuromorphic Chips
  crossref Chenyuan Zhao, Lingjia Liu, Yang Yi 2019-09-12T14:21:08Z 置信度 0.70
• A super Threshold Compact Silicon Neuron Circuit for Different Neuron Dynamics Suitable for Spiking Neural Network
  crossref Sayantan Samanta, Koushik Naskar, Souvanik Pal, Suman Mallik 等 2023-02-09T18:41:32Z 置信度 0.70
• Exploring the potential of ultra-low latency spiking neural network in remote sensing image classification
  crossref Jiahao Li, Ming Xu, He Chen, Can Li 2024-06-04T20:14:49Z 置信度 0.70
• Spontaneous Dynamics of Asymmetric Random Recurrent Spiking Neural Networks
  In this letter, we study the effect of a unique initial stimulation on random recurrent networks of leaky integrate-and-fire neurons. Indeed, given a stochastic connectivity, this so-called spontaneous mode exhibits various nontrivial dynamics. This study is b…
  crossref Hédi Soula, Guillaume Beslon, Olivier Mazet 2005-11-17T21:55:49Z 置信度 0.70
• Author response for "Spiking Neural Networks for Nonlinear Regression"
  crossref Henkes, Alexander, Eshraghian, Jason K., Wessels, Henning 2024-05-02T17:08:58Z 置信度 0.70
• Optimal Sensor Placement using Spiking Neural Networks
  crossref Samarth Pradeep Barve, Ameer Tamoor Khan, Shuai Li 2025-10-27T17:55:51Z 置信度 0.70
• Transitioning Spiking Neural Network Simulators to Heterogeneous Hardware
  crossref Quang Anh Pham Nguyen, Philipp Andelfinger, Wentong Cai, Alois Knoll 2019-05-31T12:37:16Z 置信度 0.70
• NEURAL NETWORK MODULE FOR DETECTING OIL LEAKS
  crossref Nikita Evgenievich Vasilenko, Dmitry Viktorovich Tarakanov, Arseniy Dmitrievich Khimochkin, Elena Nikolaevna Pauk 2026-04-22T14:25:03Z 置信度 0.70
• BERA-CLOUD: Resource Allocation in Cloud Computing Using a Bald Eagle Optimised Spiking Neural Network
  crossref Nikhil Kumar Marriwala, Sunita Panda, Priya Dasarwar, Pooja Singh 等 2025-09-04T13:00:47Z 置信度 0.70
• A Low-Latency Hybrid Cryptographic Framework for Secure Spiking Neural Network Inference
  crossref Xiaoliang Zhang, Jundong Feng, Junchao Wang 2026-03-03T20:49:35Z 置信度 0.70
• DT-SCNN: dual-threshold spiking convolutional neural network with fewer operations and memory access for edge applications
  The spiking convolutional neural network (SCNN) is a kind of spiking neural network (SNN) with high accuracy for visual tasks and power efficiency on neuromorphic hardware, which is attractive for edge applications. However, it is challenging to implement SCNN…
  crossref Fuming Lei, Xu Yang, Jian Liu, Runjiang Dou 等 2024-05-30T12:16:22Z 置信度 0.70
• Behavior of Spikes in Spiking Neural Network (SNN) Model with Bernoulli for Plant Disease on Leaves
  crossref Urfa Gul, M. Junaid Gul, Gyu Sang Choi, Chang-Hyeon Park 2025-06-23T03:41:45Z 置信度 0.70