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• Effect of Line Resistance of Passive Memristive Crossbars on Spiking Neural Network Performance
  crossref Pierre Lewden, Adrien F. Vincent, Jean Tomas, Chip-Hong Chang 等 2024-07-19T17:30:48Z 置信度 0.70
• Explainable spiking neural network for real time feature classification
  crossref Szymon Szczęsny, Damian Huderek, Łukasz Przyborowski 2021-08-03T07:57:16Z 置信度 0.70
• Spiking Neural Network with Silicon Oxide Memristive Devices in the Subthreshold Regime
  crossref Viet Cuong Vu, Daniel J. Mannion, Dovydas Joksas, Wing H. Ng 等 2025-08-14T18:34:26Z 置信度 0.70
• Analysis and Simulation of Capacitor-Less ReRAM-Based Stochastic Neurons for the in-Memory Spiking Neural Network
  crossref Jie Lin, Jiann-Shiun Yuan 2018-07-16T22:00:28Z 置信度 0.70
• BKT-DSNN: Communication efficient spiking neural network federated learning based on dynamic model assignment
  crossref Ziao Qu, Hao Sun 2026-02-20T00:18:23Z 置信度 0.70
• Spiking Neural Membrane Systems with Multiplexed Neurons for Enhanced Parallel Computing
  Spiking neural membrane systems (SNP systems) are distributed parallel computing models inspired by neuronal spike mechanisms. Traditional SNP systems execute rules serially within each neuron, limiting their efficiency. This paper introduces MNSNP systems, a …
  crossref Liping Wang, Xiyu Liu, Yuzhen Zhao 2025-12-30T03:42:45Z 置信度 0.70
• Accelerated simulation of spiking neural networks using GPUs
  crossref Andreas K. Fidjeland, Murray P. Shanahan 2010-10-19T18:58:15Z 置信度 0.70
• A Spiking Neural Network for Personalised Modelling of Electrogastrography (EGG)
  crossref Vivienne Breen, Nikola Kasabov, Peng Du, Stefan Calder 2016-09-08T05:19:28Z 置信度 0.70
• STEMS: Spatial-Temporal Mapping for Spiking Neural Networks_supp1-3584201.pdf
  crossref Sherif Eissa 2025-07-04T13:50:21Z 置信度 0.70
• Exact mean-field models for spiking neural networks with adaptation
  Abstract Networks of spiking neurons with adaption have been shown to be able to reproduce a wide range of neural activities, including the emergent population bursting and spike synchrony that underpin brain disorders and normal function. Exact mean-field mod…
  crossref Liang Chen, Sue Ann Campbell 2022-04-07T16:48:19Z 置信度 0.70
• Exploring Deep Spiking Neural Networks for Automated Driving Applications
  crossref Sambit Mohapatra, Heinrich Gotzig, Senthil Yogamani, Stefan Milz 等 2023-05-15T16:42:35Z 置信度 0.70
• Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion
  crossref Jiahao Su, Kang You, Zekai Xu, Weizhi Xu 等 2024-09-18T12:28:54Z 置信度 0.70
• Associative memory in networks of spiking neurons
  crossref Friedrich T. Sommer, Thomas Wennekers 2002-10-14T18:58:33Z 置信度 0.70
• B3 Waste Image - Based Classification Using the VGG16 Convolutional Neural Network Model
  crossref Wahyu Ismanda, Suprianto Suprianto 2026-08-13T04:08:53Z 置信度 0.70
• A novel parallel merge neural network with streams of spiking neural network and artificial neural network
  crossref Jie Yang, Junhong Zhao 2023-05-09T13:32:53Z 置信度 0.70
• Simple Framework for Constructing Functional Spiking Recurrent Neural Networks
  Abstract Cortical microcircuits exhibit complex recurrent architectures that possess dynamically rich properties. The neurons that make up these microcircuits communicate mainly via discrete spikes, and it is not clear how spikes give rise to dynamics that can…
  crossref Robert Kim, Yinghao Li, Terrence J. Sejnowski 2019-03-16T03:26:08Z 置信度 0.70
• Spiking Neural P Systems with Weighted Synapses
  crossref Linqiang Pan, Xiangxiang Zeng, Xingyi Zhang, Yun Jiang 2011-12-13T21:17:46Z 置信度 0.70
• Learning population of spiking neural networks with perturbation of conductances
  crossref Piotr Suszynski, Pawel Wawrzynski 2014-01-10T20:08:44Z 置信度 0.70
• SEENN: Towards Temporal Spiking Early Exit Neural Networks
  crossref Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda 2026-03-02T13:18:04Z 置信度 0.70
• STEG-AIW: Spatio-Temporal Gating and Adaptive-Timestep Inference for Efficient Spiking Neural Networks
  crossref Gulfam Ahmed Saju, Anton Spirkin, Felipe Marcelino, Yuchou Chang 2026-05-05T19:59:32Z 置信度 0.70
• Spiking neural ensembles contribute to cue combination during visual causal inference
  crossref Weisi Liu, Yuncai Yu, Ruihuan Ren, Jiuchang Zhang 等 2026-08-07T15:06:50Z 置信度 0.70
• Logistic Real and Complex, Ordinary and Fractional Neural Network Approximation Over Infinite Domains
  crossref George A. Anastassiou 2026-02-14T08:42:15Z 置信度 0.70
• Dynamical System Neural Network (DSNN) for hydrological modelling
  Dynamical System Neural Networks (DSNN) are time-iterative neural networks,employing neural network components representing real-world system compartments,which can be substituted by process-based components. This study evaluates theidentifiability of DSNN par…
  crossref Derek Karssenberg 2026-06-01T23:37:39Z 置信度 0.70
• Photonic spiking neurons and spiking neural networks
  crossref Dafydd Owen-Newns, Andrew Adair, Dylan Black, Giovanni Donati 等 2024-06-20T22:49:50Z 置信度 0.70
• A physics informed neural network architecture for moving boundary problems in science and engineering
  crossref Sanchita Malla, Dietmar Oelz, Sitikantha Roy 2025-12-19T04:24:18Z 置信度 0.70
• From artificial neural networks to spiking neuron populations and back again
  crossref Marc de Kamps, Frank van der Velde 2002-10-14T22:58:33Z 置信度 0.70
• Application of Levenberg-Marquardt method to the training of spiking neural networks
  crossref S.M. Silva, A.E. Ruano 2006-04-28T11:05:46Z 置信度 0.70
• Spiking neural networks for financial data prediction
  crossref David Reid, Abir Jaafar Hussain, Hissam Tawfik 2014-01-10T15:08:44Z 置信度 0.70
• Recurrent Neural Network
  crossref Shenghua Gao 2025-12-31T07:05:44Z 置信度 0.70
• ReBaCCA-ss: Relevance-Balanced Continuum Correlation Analysis With Smoothing and Surrogating for Quantifying Similarity Between Population Spiking Activities
  Abstract Quantifying similarity between population spike patterns is essential for understanding how neural dynamics encode information. Traditional approaches, which combine kernel smoothing, principal component analysis, and canonical correlation analysis (C…
  crossref Xiang Zhang, Chenlin Xu, Zhouxiao Lu, Haonan Wang 等 2026-03-05T17:50:07Z 置信度 0.70
• Event-based object detection from spiking neural networks to IoT edge deployment: a systematic review
  crossref Mohamad Yazan Sadoun, Sarah Sharif, Yaser Mike Banad 2026-08-13T14:03:21Z 置信度 0.70
• Accelerating Computation for Scalable Graph Neural Network Training
  crossref Jingzhi Fang, Zhiyuan Li 2026-05-26T12:44:20Z 置信度 0.70
• A memristor-based spiking neural network circuit with hardware-optimized unsupervised STDP
  crossref Ouwen Zhang, Dainan Zhang, Junjie Wang, Shuang Liu 等 2025-10-15T16:31:32Z 置信度 0.70
• Spiking Neural Network-Based Signal Classification on Adversarial Example and Signal with Common Noise
  crossref Ping Ye, Yunzhe Tian, Xiangyu Shi, Xiaoshu Cui 等 2026-01-02T01:22:29Z 置信度 0.70
• Information Geometry of Interspike Intervals in Spiking Neurons
  An information geometrical method is developed for characterizing or classifying neurons in cortical areas, whose spike rates fluctuate in time. Under the assumption that the interspike intervals of a spike sequence of a neuron obey a gamma process with a time…
  crossref Kazushi Ikeda 2005-09-28T20:53:50Z 置信度 0.70
• Time series analysis of spiking neural systems via transfer entropy and directed persistent homology
  crossref Dylan Peek, Siddharth Pritam, Matthew P. Skerritt, Stephan Chalup 2026-04-01T08:02:21Z 置信度 0.70
• Explainability Techniques and Training Strategies for Spiking Neural Networks
  Spiking Neural Networks (SNNs) have emerged as a promising class of biologically inspired models that process information through discrete spike events and temporal dynamics, closely emulating neural computation in the brain. Their inherent advantages include …
  crossref Wei Zhang, Lina Chen, Tao Huang, Heng Xue 2025-07-06T00:14:23Z 置信度 0.70
• Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance Targeting Neuromorphic Processors
  crossref Llewyn Salt, David Howard, Giacomo Indiveri, Yulia Sandamirskaya 2019-10-14T23:14:01Z 置信度 0.70
• Theoretical framework for Time-To-First-Spike coding in Spiking Neural Networks
  Un modèle mathématique unificateur pour le codage par temps du premier spike dans les réseaux de neurones à impulsions Au sein des réseaux de neurones impulsionnels, le codage "Time-To-First-Spike" (TTFS) utilise la latence du premier spike pour véhiculer de l…
  crossref Lina del Pilar Bonilla Camelo 2026-04-07T14:50:05Z 置信度 0.70
• SGSPose: Neuromorphic-Geometric 6D Pose Estimation Through Spiking Graph Neural Networks and SE(3)-Equivariant Learning
  crossref Janhavi Chaurasia, Eshaan Rithesh Adyanthaya, Manas Ranjan Prusty 2026-01-12T22:02:28Z 置信度 0.70
• BIOLOGICALLY INSPIRED EDGE DETECTION USING SPIKING NEURAL NETWORKS AND HEXAGONAL IMAGES
  crossref 2012-01-04T08:45:19Z 置信度 0.70
• To spike or not to spike: A probabilistic spiking neuron model
  crossref Nikola Kasabov 2009-09-07T08:25:29Z 置信度 0.70
• Systematization of Neural Network-Based Methods for Feature Selection
  crossref Artem D. Cheremuhin 2026-08-18T19:11:40Z 置信度 0.70
• STESNN: Spatio-temporal enhancement spiking neural networks for epilepsy detection
  crossref Shunchang Su, Xianghong Lin, Xiangwen Wang, Liping Wei 2025-12-19T07:49:57Z 置信度 0.70
• Balanced and Efficient Spiking Neural Networks
  crossref Tim Stadtmann, Janek Paeßens, Tobias Gemmeke 2025-11-14T18:46:15Z 置信度 0.70
• Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDP
  crossref Marius Vieth, Jochen Triesch 2024-12-07T16:19:50Z 置信度 0.70
• A logistic gradient autonomous optimization numerical spiking neural membrane system with adaptive multi-mutation for sandstone pore segmentation
  crossref Zhuo Luo, Kai Li, Shiji Dai, Li Su 等 2026-03-06T07:23:58Z 置信度 0.70
• Exploring Deep Spiking Neural Networks for Automated Driving Applications
  crossref Sambit Mohapatra, Heinrich Gotzig, Senthil Yogamani, Stefan Milz 等 2019-03-15T11:03:30Z 置信度 0.70
• Index
  crossref 2025-11-28T07:11:02Z 置信度 0.70
• A spiking neuron model: applications and learning
  crossref Chris Christodoulou, Guido Bugmann, Trevor G Clarkson 2002-10-11T21:02:29Z 置信度 0.70
• An intelligent fault diagnosis method based on data enhancement by multi-information driven spiking generative adversarial network
  Abstract The machine always operates in a normal state. Therefore, the data-driven intelligent fault diagnosis methods still have more problems, such as small samples and overall imbalance in the era of big data. The main method to address these problems is ov…
  crossref Zhaolin Guo, Yanming Zhao 2026-01-06T22:49:51Z 置信度 0.70
• Contrastive-Signal-Dependent Plasticity: Forward-Forward Learning of Spiking Neural Systems
  We develop a neuro-mimetic architecture, composed of spiking neuronal units, here individual layers of neurons operate in parallel and adapt their synaptic efficacies without the use of feedback pathways. Specifically, we propose an event-based generalization …
  crossref Alexander G. Ororbia 2023-03-31T01:01:00Z 置信度 0.70
• Training Spiking Neural Networks in the Strong Coupling Regime
  Abstract Recurrent neural networks trained to perform complex tasks can provide insight into the dynamic mechanism that underlies computations performed by cortical circuits. However, due to a large number of unconstrained synaptic connections, the recurrent c…
  crossref Christopher M. Kim, Carson C. Chow 2021-04-14T20:35:38Z 置信度 0.70
• The Potential of Spiking Neural Networks in Predicting Earthquakes in New Zealand
  This study investigates the use of Spiking Neural Networks (SNNs) in earthquake prediction, focusing on New Zealand, a seismically active region. Traditional earthquake prediction methods struggle with accuracy and real-time warning capabilities. SNNs, inspire…
  crossref Zhaoxin Wang, Maryam Doborjeh 2025-03-17T20:44:31Z 置信度 0.70
• Spiking Neural Networks Vs Convolutional Neural Networks for Supervised Learning
  crossref Sahil Lamba, Rishab Lamba 2020-01-30T23:42:47Z 置信度 0.70
• On-FPGA Spiking Neural Networks for End-to-End Neural Decoding
  crossref Gianluca Leone, Luigi Raffo, Paolo Meloni 2023-04-24T18:31:53Z 置信度 0.70
• Energy-Efficient and Fault-Tolerant Spiking Neural Networks
  crossref Junyu Li, Meiling Zhao, Chen Gao, Heng Xue 2025-07-17T15:45:19Z 置信度 0.70
• Relevance-based adaptive differential private spiking neural networks
  crossref Junxiu Liu, Xiwen Luo, Qiang Fu, Yuling Luo 等 2025-10-04T01:11:44Z 置信度 0.70
• SpikeFed: Federated Training of Spiking Neural Networks for Event-Based Vision
  crossref Hasti Zanganeh, Lydia Dede Obeng, Hariharan Ramesh, James Seekings 等 2026-06-19T10:46:08Z 置信度 0.70
• A winner-take-all spiking network with spiking inputs
  crossref M. Oster, Shih-Chii Liu 2005-03-31T13:26:51Z 置信度 0.70
• Transcranial focused ultrasound activates feedforward and feedback cortico-thalamo-cortical pathways by selectively activating excitatory neurons
  preprints 2024 置信度 0.74
• An Investigation of Parameter-Dependent Cell-Type Specific Effects of Transcranial Focused Ultrasound Stimulation Using an Awake Head-Fixed Rodent Model
  preprints 2024 置信度 0.74
• A doubly stochastic renewal framework for partitioning spiking variability
  preprints 2024 置信度 0.74
• Variable and slow-paced neural dynamics in HVC underlie plastic song production in juvenile zebra finches
  preprints 2024 置信度 0.74
• Performance comparison of spiking neural networks to other artificial models in predicting pigeons’ learning history from binary choices
  preprints 2024 置信度 0.74
• Decoding dynamic visual scenes across the brain hierarchy
  preprints 2024 置信度 0.74
• Cell-type specific projection patterns promote balanced activity in cortical microcircuits
  preprints 2024 置信度 0.74
• Dynamic consensus-building between neocortical areas via long-range connections
  preprints 2024 置信度 0.74
• 28 nm FD-SOI embedded phase change memory exhibiting near-zero drift at 12 K for cryogenic spiking neural networks (SNNs)
  preprints 2024 置信度 0.74
• Motor learning leverages coordinated low-frequency cortico-basal ganglia activity to optimize motor preparation in humans with Parkinson’s Disease
  preprints 2024 置信度 0.74
• A hierarchical multiscale model of forward and backward alpha-band traveling waves in the visual system
  preprints 2024 置信度 0.74
• A neuromorphic electronic artist for robotic painting
  preprints 2024 置信度 0.74
• Novel classification algorithms inspired by firing rate stochastic resonance
  preprints 2024 置信度 0.74
• Modeling Nitric Oxide Diffusion and Plasticity Modulation in Cerebellar Learning
  preprints 2024 置信度 0.74
• Event boundaries drive norepinephrine release and distinctive neural representations of space in the rodent hippocampus
  preprints 2024 置信度 0.74
• Computational model for synthesizing auditory brainstem responses to assess neuronal alterations in aging and autistic animal models
  preprints 2024 置信度 0.74
• Network models incorporating chloride dynamics predict optimal strategies for terminating status epilepticus
  preprints 2024 置信度 0.74
• A Biologically Inspired Attention Model for Neural Signal Analysis
  preprints 2024 置信度 0.74
• A Lightweight Shallow Convolutional SNN Combined with STDP Fine-Tuning for Facial Expression Recognition
  preprints 2024 置信度 0.74
• Spike frequency adaptation in primate lateral prefrontal cortex neurons results from interplay between intrinsic properties and circuit dynamics
  preprints 2024 置信度 0.74
• Hyper Flexible Neural Networks Rapidly Switch between Logic Operations in a Compact Four Neuron Circuit
  preprints 2024 置信度 0.74
• Modulation of metastable ensemble dynamics explains the inverted-U relationship between tone discriminability and arousal in auditory cortex
  preprints 2024 置信度 0.74
• Predictive and error coding for vocal communication signals in the songbird auditory forebrain
  preprints 2024 置信度 0.74
• Adult-neurogenesis allows for representational stability and flexibility in early olfactory system
  preprints 2024 置信度 0.74
• Spike Neural Network of Motor Cortex Model for Arm Reaching Control
  preprints 2024 置信度 0.74
• Single Photon Event-Driven 3D Imaging
  preprints 2024 置信度 0.74
• <i>Arid1b</i> haploinsufficiency in cortical inhibitory interneurons causes cell-type-dependent changes in cellular and synaptic development
  preprints 2024 置信度 0.74
• Fast and slow synaptic plasticity enables concurrent control and learning
  preprints 2024 置信度 0.74
• A Memristor Neural Network Based on Simple Logarithmic-Sigmoidal Transfer Function with MOS Transistors
  europepmc 2024 置信度 0.80
• A systematic analysis of the joint effects of ganglion cells, lagged LGN cells, and intercortical inhibition on spatiotemporal processing and direction selectivity
  preprints 2024 置信度 0.74
• A computational model of behavioral adaptation to solve the credit assignment problem
  preprints 2024 置信度 0.74
• Kraken: An Open-Source RISC-V SoC for Ultra-Low Power Multi-Modal Perception
  preprints 2024 置信度 0.74
• Mean-field analysis of synaptic alterations underlying deficient cortical gamma oscillations in schizophrenia
  preprints 2024 置信度 0.74
• Computational Models of Age-Associated Cognitive Slowing
  preprints 2024 置信度 0.74
• Temporal prediction captures key differences between spiking excitatory and inhibitory V1 neurons
  preprints 2024 置信度 0.74
• Linking Neural Manifolds to Circuit Structure in Recurrent Networks
  preprints 2024 置信度 0.74
• The Functional Role of Pinwheel Topology in the Primary Visual Cortex of High-Order Animals for Complex Natural Image Representation
  preprints 2024 置信度 0.74
• Cell-type-specific firing patterns in a V1 cortical column model depend on feedforward and feedback-driven states
  preprints 2024 置信度 0.74
• Horizontal cortical connections shape intrinsic traveling waves into feature-selective motifs that regulate perceptual sensitivity
  preprints 2024 置信度 0.74
• Modeling the impact of neuromorphological alterations in Down syndrome on fast neural oscillations
  preprints 2024 置信度 0.74