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• Mastering the Output Frequency in Spiking Neural Networks
  crossref Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne 等 2018-10-19T22:25:09Z 置信度 0.70
• A New Supervised Learning Algorithm for Spiking Neurons
  The purpose of supervised learning with temporal encoding for spiking neurons is to make the neurons emit a specific spike train encoded by the precise firing times of spikes. If only running time is considered, the supervised learning for a spiking neuron is …
  crossref Yan Xu, Xiaoqin Zeng, Shuiming Zhong 2013-03-21T15:56:17Z 置信度 0.70
• Homogenous spiking neural P systems with anti-spikes
  crossref Tao Song, Xun Wang, Zhujin Zhang, Zhihua Chen 2013-05-31T05:49:21Z 置信度 0.70
• Review for "Mapping China’s Environmental Sustainability Drivers with Wavelet-Based Artificial Neural Network"
  crossref 2026-03-13T21:09:03Z 置信度 0.70
• Review for "ACES-GNN: Can Graph Neural Network Learn to Explain Activity Cliffs?"
  crossref 2025-07-01T17:08:16Z 置信度 0.70
• Explainable Neural Network Ensembles
  Abstract Neural networks are known for providing impressive classification performance, and the ensemble learning technique is further acting as a catalyst to enhance this performance by integrating multiple networks. But like neural networks, neural network e…
  crossref Manomita Chakraborty, Saroj Kumar Biswas, Biswajit Purkayastha 2021-11-15T19:25:48Z 置信度 0.70
• Review: The challenge of land in a neural network ocean model — R0/PR2
  crossref 2025-01-22T04:57:34Z 置信度 0.70
• Brain-Inspired Multi-Scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks_supp1-3507812.pdf
  crossref Wenxuan Pan 2024-12-10T20:25:15Z 置信度 0.70
• Gaussian and Exponential Lateral Connectivity on Distributed Spiking Neural Network Simulation
  crossref Elena Pastorelli, Pier Stanislao Paolucci, Francesco Simula, Andrea Biagioni 等 2018-06-07T23:44:22Z 置信度 0.70
• Plasticity in adult sensory cortex: a review
  There is growing evidence of significant plasticity in neuronal receptive fields and functional architecture in adult primary sensory cortex. Surgical lesions or rewiring of nerves in the periphery lead to large-scale changes in the corresponding cortical maps…
  crossref Aniruddha Das 2015-08-18T20:05:00Z 置信度 0.70
• Somatic inhibition controls dendritic selectivity in a sparse coding network of spiking neurons
  Sparse coding is an effective operating principle for the brain, one that can guide the discovery of features and support the learning of assocations. Here we show how spiking neurons with discrete dendrites can learn sparse codes via an online, nonlinear Hebb…
  crossref Damien Drix 2018-01-13T05:54:38Z 置信度 0.70
• Review: The challenge of land in a neural network ocean model — R1/PR7
  crossref 2025-01-22T04:57:34Z 置信度 0.70
• Learning long temporal sequences in spiking networks by multiplexing neural oscillations
  Many cognitive and behavioral tasks – such as interval timing, spatial navigation, motor control and speech – require the execution of precisely-timed sequences of neural activation that cannot be fully explained by a succession of external stimuli. We show ho…
  crossref Philippe Vincent-Lamarre, Matias Calderini, Jean-Philippe Thivierge 2019-09-12T20:07:24Z 置信度 0.70
• Review: The challenge of land in a neural network ocean model — R1/PR8
  crossref 2025-01-22T04:57:34Z 置信度 0.70
• Research on Rose Classification Based on Neural Network Model
  Abstract As an important industry in China, rose has extremely important economic value and ornamental value. However, affected by human factors and planting environment, even roses of the same variety will have different levels of classification. In order to …
  crossref Jiaojiao Hui 2022-06-27T17:26:59Z 置信度 0.70
• Analysis of Industry Convergence Based on Improved Neural Network
  Abstract Economic growth in the information age is no longer a stage driven by unipolarity. It has entered a multi-polar driving stage characterized by integration, fusion, and integrated development on a larger scale between regions, and the trend of group co…
  crossref Nan Ma 2021-09-08T21:41:06Z 置信度 0.70
• Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
  ABSTRACT Inspired by more detailed modeling of biological neurons, Spiking neural networks (SNNs) have been investigated both as more biologically plausible and potentially more powerful models of neural computation, and also with the aim of extracting biologi…
  crossref Bojian Yin, Federico Corradi, Sander M. Bohté 2021-03-22T13:50:19Z 置信度 0.70
• Leveraging spiking deep neural networks to understand the neural mechanisms underlying selective attention
  Abstract Spatial attention enhances sensory processing of goal-relevant information and improves perceptual sensitivity. Yet, the specific neural mechanisms underlying the effects of spatial attention on performance are still contested. Here, we examine differ…
  crossref Lynn K. A. Sörensen, Davide Zambrano, Heleen A. Slagter, Sander M. Bohté 等 2020-12-16T21:49:50Z 置信度 0.70
• Review for "Identification of Plant Species Using Convolutional Neural Network with Transfer Learning"
  crossref 2025-02-05T16:15:21Z 置信度 0.70
• Domain Randomization for Neural Network Classification
  Abstract Large data requirements are often the main hurdle in training neural networks. Synthetic data is a cheap and efficient solution to assemble such large datasets. Using domain randomization, we show that a sufficiently well generated synthetic image dat…
  crossref Svetozar Zarko Valtchev, Jianhong Wu 2020-09-23T00:09:43Z 置信度 0.70
• Video for Algorithmic Enablers for Compact Neural Network Topology Hardware Design: Review and Trends
  crossref 2020-09-29T09:22:27Z 置信度 0.70
• Lower Bounds for the Computational Power of Networks of Spiking Neurons
  We investigate the computational power of a formal model for networks of spiking neurons. It is shown that simple operations on phase differences between spike-trains provide a very powerful computational tool that can in principle be used to carry out highly …
  crossref Wolfgang Maass 2008-04-04T15:24:53Z 置信度 0.70
• Spiking Network Models and Theory: Overview
  crossref Marc-Oliver Gewaltig 2014-09-29T17:23:06Z 置信度 0.70
• Artificial neural network (ANN) - oscillatory neural network (ONN) hybrid system using domain-wall synapse devices and nano-constriction spin hall nano oscillators
  crossref Anonymous 2026-08-19T17:56:37Z 置信度 0.70
• Spiking Network Models and Theory: Overview
  crossref Marc-Oliver Gewaltig 2014-10-02T02:13:53Z 置信度 0.70
• A Cognitive Network Controller Based on Spiking Neurons
  crossref Ricardo Lent 2018-08-20T22:51:41Z 置信度 0.70
• Self-organization of spiking neurons using action potential timing
  crossref B. Ruf, M. Schmitt 2002-08-24T19:16:32Z 置信度 0.70
• Self-regulated Learning Algorithm for Distributed Coding Based Spiking Neural Classifier
  crossref Pranav Machingal, Mohammed Thousif, Shirin Dora, Suresh Sundaram 2020-09-29T20:40:33Z 置信度 0.70
• A Complex-Valued Spiking Machine
  crossref Gilles Vaucher 2010-11-19T22:10:02Z 置信度 0.70
• Training Spiking Neural Networks with Event-Driven Backpropagation
  crossref Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie 等 2026-03-02T13:17:52Z 置信度 0.70
• SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT
  crossref Qiaoyi Su, Shijie Mei, Xingrun Xing, Man Yao 等 2024-08-22T21:44:20Z 置信度 0.70
• A Simple Two-Dimensional Map for Modeling of Spiking-Bursting Neural Activity
  crossref N. Rulkov 2013-02-23T16:51:52Z 置信度 0.70
• Spiking neural networks and dendrite morphological neural networks: an introduction
  crossref Humberto Sossa, Carlos D. Virgilio-G. 2022-01-14T16:50:48Z 置信度 0.70
• BPSpike: A backpropagation learning for all parameters in spiking neural networks with multiple layers and multiple spikes
  crossref Satoshi Matsuda 2016-11-08T16:15:56Z 置信度 0.70
• Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor
  crossref Khadeer Ahmed, Amar Shrestha, Qinru Qiu, Qing Wu 2016-11-08T21:15:56Z 置信度 0.70
• Studying the Reduction of Entropy in the Brain During Sleep Through Spiking Neural Networks
  Sleep remains one of the most confusing biological functions, yet its role in maintaining physiological and cognitive well-being in is undeniable. This paper investigates the hypothesis that of sleep’s primary functions is to reduce neural entropy, drawing par…
  crossref Joshua Gupta 2024-12-02T02:00:11Z 置信度 0.70
• Additional results and theory
  crossref 2026-06-23T06:26:26Z 置信度 0.70
• LogSNN: Spiking Neural Networks for System Log Anomaly Detection
  Log anomaly detection is the most important method for identifying potential system failure. However, current Artificial Neural Networks (ANNs) based methods significantly increase the energy consumption of the system while improving the accuracy of log classi…
  crossref Song Chen, Hai Liao, Yan Liang, Hang Zhou 等 2026-03-04T14:39:38Z 置信度 0.70
• Saliency Map Using Features Derived from Spiking Neural Networks of Primate Visual Cortex
  We propose a framework inspired by biological vision systems to produce saliency maps of digital images. Well-known computational models for receptive fields of areas in the visual cortex that are specialized for color and orientation perception are used. To m…
  crossref Reza Hojjaty Saeedy, Richard A. Messner 2022-05-28T08:35:39Z 置信度 0.70
• EnsembleSNN: Distributed assistive STDP learning for energy-efficient recognition in spiking neural networks
  crossref Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy 2017-07-10T17:41:30Z 置信度 0.70
• Training Spiking Neural Networks with Local Tandem Learning
  crossref Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua 等 2026-03-02T13:17:52Z 置信度 0.70
• Supervised Learning in Spiking Neural Networks
  crossref Răzvan V. Florian 2012-01-06T12:19:05Z 置信度 0.70
• Reproducing Human Motor Adaptation in Spiking Neural Simulation and known Synaptic Learning Rules
  Abstract Sensorimotor adaptation enables us to adjust our goal-oriented movements in response to external perturbations. These phenomena have been studied experimentally and computationally at the level of human and animals reaching movements, and have clear l…
  crossref Yufei Wu, Shlomi Haar, Aldo Faisal 2021-06-25T14:50:24Z 置信度 0.70
• Spiking Neural P System with weight model of majority voting technique for reliable interactive image segmentation
  crossref Mehran Dalvand, Abdolhossein Fathi, Arezoo Kamran 2022-12-25T04:15:06Z 置信度 0.70
• Spiking neural networks on FPGA: A survey of methodologies and recent advancements
  crossref Mehrzad Karamimanesh, Ebrahim Abiri, Mahyar Shahsavari, Kourosh Hassanli 等 2025-02-14T17:53:32Z 置信度 0.70
• Reinforcement Learning in Spiking Neural Networks
  crossref Răzvan V. Florian 2012-01-06T12:11:29Z 置信度 0.70
• Uncertainty-Aware Spiking Neural Networks for Regression
  crossref Tao Sun, Sander Bohté 2026-01-21T21:07:17Z 置信度 0.70
• Integration of Spiking Neural Networks for Understanding Interval Timing
  crossref Nicholas A. Lusk 2019-11-05T13:00:48Z 置信度 0.70
• Secure Inference on Layered Spiking Neural P Systems Using Homomorphic Encryption
  crossref Mihail-Iulian Plesa, Prof. Marian Gheorghe, Florentin Ipate 2024-01-06T07:22:42Z 置信度 0.70
• Small universal spiking neural P systems
  crossref Andrei Păun, Gheorghe Păun 2006-07-01T09:40:19Z 置信度 0.70
• Segmentation of Hepatic Vessels with Deep Neural Network
  crossref Wei Jiang, Xueshuang Deng 2025-08-23T05:52:53Z 置信度 0.70
• Evolving neuro-fuzzy system based online identification of a bio-inspired flapping wing micro aerial vehicle
  crossref Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt 2018-02-12T22:52:06Z 置信度 0.70
• Swarm Intelligence for Optimization: A Bee’s-Eye View on Multi-objective and Dynamic Challenges
  crossref R. S. M. Lakshmi Patibandla, D. Madhusudhana Rao, Y. Gokul 2024-12-01T08:28:15Z 置信度 0.70
• An Evaluation of Bio-Inspired Resource Allocation Methods for Vehicular Edge Computing
  crossref Douglas D. Lieira, Matheus S. Quessada, Sandra Sampaio, Antonio A. F. Loureiro 等 2023-08-28T17:55:08Z 置信度 0.70
• Numerical P Systems with Thresholds and Petri Nets
  crossref Luping Zhang, Zhimeng Zhang 2024-04-15T19:02:10Z 置信度 0.70
• Genetic-neuro-fuzzy system for grading depression
  crossref Kumar Ashish, Anish Dasari, Subhagata Chattopadhyay, Nirmal Baran Hui 2017-05-25T04:30:53Z 置信度 0.70
• Forthcoming Meetings
  crossref 2024-08-05T19:44:51Z 置信度 0.70
• Eye accommodation-inspired neuro-metasurface focusing
  Abstract The human eye, which relies on a flexible and controllable lens to focus light onto the retina, has inspired many scientific researchers to understand better and imitate the biological vision system. However, real-time environmental adaptability prese…
  crossref Huan Lu, Jiwei Zhao, Bin Zheng, Chao Qian 等 2023-06-06T14:41:45Z 置信度 0.70
• A trust-based bio-inspired approach for credit lending decisions
  crossref Monireh Sadat Mirtalaei, Morteza Saberi, Omar Khadeer Hussain, Behzad Ashjari 等 2012-03-01T08:54:36Z 置信度 0.70
• Sinuosity Coefficients for Leaf Shape Characterisation
  crossref Jules R. Kala, Serestina Viriri, Deshendran Moodley 2015-12-01T17:08:38Z 置信度 0.70
• Review for "Lotus leaf-inspired thermal insulation and anti-icing topography"
  crossref 2024-06-12T17:03:14Z 置信度 0.70
• Creation Inspired by Music
  This study reveals the preliminary results of a project involving pre-service preschool teachers (N=32). This investigation is relevant since it is crucial that students must benefit from tasks aimed at developing productive imagination during their preschool …
  crossref Ágnes Magyar 2024-12-06T13:40:56Z 置信度 0.70
• A New Type of Classification Algorithm Inspired by the Chromatographic Separation Mechanism
  crossref Mariusz Święcicki 2024-08-07T23:03:35Z 置信度 0.70
• Forthcoming Meetings
  crossref 2024-06-03T14:27:13Z 置信度 0.70
• Front Matter
  crossref 2024-08-09T07:39:50Z 置信度 0.70
• Using natural language feedback in a neuro-inspired integrated multimodal robotic architecture
  crossref Johannes Twiefel, Xavier Hinaut, Marcelo Borghetti, Erik Strahl 等 2016-11-17T16:34:23Z 置信度 0.70
• Particle Swarm Optimization Based on Random Walk
  crossref Rajesh Misra, Kumar Sankar Ray 2021-06-14T05:02:45Z 置信度 0.70
• Amazing Technologies Inspired by Insects and Beetles
  crossref R. Ramakrishna Reddy, T. Pullaiah 2024-05-03T10:36:24Z 置信度 0.70
• Organic Memristive Devices for Bio-inspired Applications
  crossref Victor Erokhin 2021-08-23T06:59:55Z 置信度 0.70
• Bio-Inspired Algorithm for Communication Network System Architecture and Protocols
  crossref P Chitra 2024-05-23T20:32:32Z 置信度 0.70
• AER Neuro-Inspired interface to Anthropomorphic Robotic Hand
  crossref A. Linares-Barranco, R. Paz-Vicente, G. Jimenez, J.L. Pedreno-Molina 等 2008-07-18T11:34:22Z 置信度 0.70
• Improving Virtual Machine Migration Effects in Cloud Computing Environments Using Depth First Inspired Opportunity Exploration
  The cloud platform has established itself as the de-facto standard in IT outsourcing. This is resulting in large-scale migration of infrastructure and development platforms from in-house to cloud service providers. Many recent proposals on cloud platforms have…
  crossref Kamal Kumar, Jyoti Thaman 2022-11-17T10:03:59Z 置信度 0.70
• Texture analysis based on Gaussian mixture modeling
  crossref T Sobha, S Remya 2010-01-26T12:36:43Z 置信度 0.70
• Editorial: Closing the Collection on Physics-Inspired Computing
  crossref Kerem Y. Camsari, Supriyo Datta 2026-03-25T15:15:48Z 置信度 0.70
• LEEC: An Improved Linear Energy Efficient Clustering Method for Sensor Network
  crossref Virendra Dani, Radha Bhonde, Ayesha Mandloi 2023-03-27T19:03:17Z 置信度 0.70
• LSTM Approach to Cancel Noise from Mouse Input for Patients with Motor Disabilities
  crossref Soham Harnale, Ashwin Vaidya, Aditya Bhide, Aniket Sanap 等 2019-05-22T17:26:26Z 置信度 0.70
• Developing a Multi-modal Listing Service for Real Estate Agency Practice in Nigeria
  crossref Adewole Adewumi, Chukwuemeka Iroham, Daniel Audu, Sanjay Misra 等 2020-08-05T11:05:14Z 置信度 0.70
• Cellular Learning Automata: Review and Future Trend
  crossref Mohammad Khanjary 2022-03-30T06:02:42Z 置信度 0.70
• Comparing Membrane Computing with Ordinary Differential Equation in Modeling a Biological Process in Liver Cell
  Most of the biological processes such as the processes in liver cell have been modeled by using the approach of ordinary differential equation. Such conventional model has demonstrated drawbacks and limitations primarily in preserving the stochastic and nondet…
  crossref Ravie Chandren Muniyandi, Abdullah Mohd. Zin 2011-10-18T15:35:51Z 置信度 0.70
• Fuzzy signaling game of deception between ant-inspired deceptive robots with interactive learning
  crossref Maryam Kouzehgar, Mohammad Ali Badamchizadeh 2018-11-19T12:12:55Z 置信度 0.70
• The experience of caregivers of patients in neuro-oncology
  crossref Allison J. Applebaum, Kelcie D. Willis, Paula R. Sherwood 2024-08-09T08:09:30Z 置信度 0.70
• Fertility preserving techniques in neuro-oncology patients: A systematic review
  Abstract Background Advancements in cancer treatments have enhanced survival rates and quality of life for patients with central nervous system (CNS) tumors. There is growing recognition of the significance of fertility preservation methods. Currently, techniq…
  crossref Maia Osborne-Grinter, Jasleen Kaur Sanghera, Offorbuike Chiamaka Bianca, Chandrasekaran Kaliaperumal 2024-07-25T10:57:11Z 置信度 0.70
• A Detailed Review of Organizational Behavior of College Employees
  crossref V. I. Roy, K. A. Janardhanan 2022-02-21T17:09:04Z 置信度 0.70
• Isolated Word Recognition and Feature Extraction Using Machine Learning
  crossref Rajeev Ranjan, Yogendra Narayan, Sudhir Kumar Mishra 2025-06-03T11:07:45Z 置信度 0.70
• Triune-Brain Inspired Unifying View of Intelligent Computation
  crossref Raju Surampudi Bapi 2011-09-24T01:34:23Z 置信度 0.70
• Advances in Bio-inspired Computing for Combinatorial Optimization Problems
  crossref Camelia-Mihaela Pintea 2013-08-07T08:27:53Z 置信度 0.70
• Neuronal realizations based on memristive devices
  crossref Zhongrui Wang, Rivu Midya, J. Joshua Yang 2020-06-26T05:28:39Z 置信度 0.70
• VIIAcknowledgements
  crossref 2026-07-06T19:15:47Z 置信度 0.70
• Brain Inspired Computing: A Systematic Survey and Future Trends
  Brain Inspired Computing (BIC) is an emerging research field that aims to build fundamental theories, models, hardware architectures, and application systems toward more general Artificial Intelligence (AI) by learning from the information processing mechanism…
  crossref Guoqi Li, Lei Deng, Huajing Tang, Gang Pan 等 2023-01-18T22:30:06Z 置信度 0.70
• Visual Control of a Roving Robot based on Turing Patterns
  crossref Paola Brunetto, Arturo Buscarino, Alberta Latteri 2008-11-29T07:44:42Z 置信度 0.70
• European Association of Neuro-Oncology’s 30th anniversary: A successful and growing relationship with <i>Neuro-Oncology Practice</i>
  crossref Martin J B Taphoorn, Norbert Galldiks, Matthias Preusser, Michael Platten 等 2024-08-10T20:19:05Z 置信度 0.70
• Artificial metamorphosis for self-growing adaptable interface
  crossref Ohbyung Kwon, Namyeon Lee 2011-12-06T16:02:25Z 置信度 0.70
• Welcome from the workshop co-chairs
  crossref Jun Suzuki, Stephan Steglich 2008-09-08T20:06:46Z 置信度 0.70
• Computational Vision and Bio-Inspired Computing
  crossref 2020-01-06T20:02:40Z 置信度 0.70
• DNA Computing
  The modern era of classical silicon-based computing is at the edge of a number of technological challenges which include huge energy consumption, requirement of massive memory space, and generation of e-waste. The proposed alternative to this pitfall is nanoco…
  crossref Mandrita Mondal 2021-12-08T08:09:33Z 置信度 0.70
• Front Matter
  crossref 2024-07-08T07:08:27Z 置信度 0.70
• A Fuzzy Based Hybrid Firefly Optimization Technique for Load Balancing in Cloud Datacenters
  crossref M. Lawanya Shri, E. Ganga Devi, Balamurugan Balusamy, Seifedine Kadry 等 2019-05-22T17:26:26Z 置信度 0.70
• A Comparative Analysis of Classification Algorithms for Dementia Prediction
  crossref Prashasti Kanikar, Manoj Sankhe, Deepak Patkar 2023-03-27T19:03:17Z 置信度 0.70
• Disparity in the Adoption of XBRL Taxonomies – A Cross-Industry Analysis
  crossref Dapeng Liu, Meijun Wu 2025-06-03T11:07:54Z 置信度 0.70
• Vehicle-BD: A Benchmark Dataset of Bangladeshi Local Vehicles
  crossref Md Sazedur Rahman, Md Zahim Hassan, Sifat Ibtisum 2025-05-28T09:29:50Z 置信度 0.70