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Canghai Lin, ZhiJiao Zhang, Lei Wang, Yao Wang 等
2024-07-02T17:22:52Z
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Firing rates and synchronous firing are often simultaneously relevant signals, and they independently or cooperatively represent external sensory inputs, cognitive events, and environmental situations such as body position. However, how rates and synchrony com…
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Naoki Masuda
2005-11-17T21:55:49Z
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When neural networks are trained on tasks one after another, they often forget previously learned information, a problem known as catastrophic forgetting. While Elastic Weight Consolidation (EWC) has been effective in reducing this issue in conventional neural…
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B. Sai Jyothi, M. Sireesha, K. Sai Namrataa Chowdary, K. Vandana 等
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2020-02-19T09:03:49Z
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2022-09-30T19:56:04Z
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2023-09-20T04:02:35Z
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2022-11-28T19:40:17Z
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2020-12-14T21:44:48Z
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N.V. Andreeva, E.A. Ryndin, M.I. Gerasimova
2020-08-11T09:40:03Z
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Abstract Brain-inspired analog neuromorphic systems based on the synaptic arrays have attracted large attention due to low-power computing. Spike-timing-dependent plasticity (STDP) algorithm is considered as one of the appropriate neuro-inspired techniques to …
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2019-07-25T05:16:08Z
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2023-12-13T19:17:55Z
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Abstract The challenge of supervised learning in spiking neural networks (SNNs) for digit classification from speech signals is examined in this study. Meta-heuristic algorithms and a fuzzy logic framework are used to train SNNs. Using gray wolf optimization (…
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2016-12-06T22:45:36Z
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2024-12-01T15:15:26Z
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2025-01-15T15:28:41Z
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Geng Zhang, Jiangrong Shen, Kaizhong Zheng, Liangjun Chen 等
2026-08-06T14:44:29Z
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2026-01-02T00:48:44Z
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Abstract Automated systems capable of real-time operation with minimal energy consumption are increasingly important in modern radio telescopes. Spiking Neural Networks (SNNs) promise efficient and dynamic spatio-temporal data processing. This paper reformulat…
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Hippocampome.org is a mature open-access knowledge base of the rodent hippocampal formation focusing on neuron types and their properties. Previously, Hippocampome.org v1.0 established a foundational classification system identifying 122 hippocampal neuron typ…
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Diek W Wheeler, Jeffrey D Kopsick, Nate Sutton, Carolina Tecuatl 等
2024-02-12T12:15:41Z
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Dagnier A. Curra-Sosa, Ricardo Tapiador-Morales, Francisco Gómez-Rodríguez, Alejandro Linares-Barranco
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2025-02-20T16:16:00Z
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ABSTRACT Basketball action recognition based on wearable devices and deep learning has been widely applied in the field of behavior analysis. However, there is an urgent need for real‐time recognition of athlete movements, precise technical analysis, and data …
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Yi Kao, Chao Wei
2026-05-26T09:43:22Z
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dingmin Cheng, Rong Wang, hang zhang, Ling Zhang 等
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2026-04-21T21:24:02Z
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2023-12-27T11:54:31Z
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Abstract Quantum machine learning is in a period of rapid development and discovery, however it still lacks the resources and diversity of computational models of its classical complement. With the growing difficulties of classical models requiring extreme har…
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Dean Brand, Francesco Petruccione
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2023-09-08T13:34:14Z
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This research paper presents a comprehensive investigation into the development of an innovative and novel custom neural network model for intrusion detection systems (IDS). In the current era of rapid data transfer facilitated by the internet and advancements…
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Bilal Zahid Hussain, Yusuf Hasan, Irfan Khan
2024-02-27T16:29:32Z
置信度 0.70
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2025-02-20T16:16:00Z
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2026-05-04T21:29:46Z
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Kavita Joshi, K. Suganthi
2023-12-24T18:01:26Z
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2026-03-16T20:10:41Z
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2024-03-15T05:05:14Z
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Shang Xu, Jiayu Zhang, Ziming Wang, Runhao Jiang 等
2026-04-21T21:25:57Z
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Alessandro Bile
2023-12-21T07:02:28Z
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Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning 等
2024-09-18T12:28:54Z
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Abstract Objective. Understanding the generative mechanism between local field potentials (LFP) and neuronal spiking activity is a crucial step for understanding information processing in the brain. Up to now, most approaches have relied on simply quantifying …
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Kyriaki Kostoglou, Konstantinos P Michmizos, Pantelis Stathis, Damianos Sakas 等
2024-07-19T20:03:40Z
置信度 0.70
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Jaskirat Singh Maskeen, Sandip Lashkare
2025-09-11T11:17:18Z
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2024-08-07T06:17:40Z
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Shafin Bin Hamid, Asir Intisar Khan, Huairuo Zhang, Albert V. Davydov 等
2024-08-06T18:10:50Z
置信度 0.70
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Context. This paper provides a new approach in concept drift detection using an ensemble of simple spiking neural networks. Such approach utilizes an event-based nature and built-in ability to learn spatio-temporal patterns of spiking neurons, while ensemble p…
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Ye. V. Bodyanskiy, D. V. Savenkov
2024-12-26T14:45:27Z
置信度 0.70
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From the Publisher: This book describes techniques for extracting what has been learnt by a trained neural network. The book also describes some novel neural network architectures, and some sample applications of neural computing systems.
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A Browne
2024-12-10T09:11:09Z
置信度 0.70
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The 2x2 Demonstrator is a prototype detector for the Deep Underground Neutrino Experiment (DUNE)'s Near Detector. Both the 2x2 Demonstrator and the Near Detector itself will have inactive regions wherein there is no sensitivity to charge deposition and light s…
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Hilary Utaegbulam
2024-08-15T02:30:21Z
置信度 0.70
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Lei Lyu, Chen Pang, Jihua Wang
2024-01-04T08:43:24Z
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2023-07-19T17:18:24Z
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置信度 0.70
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2024-07-03T16:45:48Z
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置信度 0.70
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ABSTRACT Managing energy consumption poses a substantial challenge within Wireless Sensor Networks (WSN) due to frequent communication among sensor nodes. A reliable scheduling framework presents a promising solution for maximizing WSN lifetime, minimizing ene…
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W. S. Kiran, Allan J. Wilson, A. S. Radhamani
2024-11-12T09:31:03Z
置信度 0.70
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In neural circuits, recurrent connectivity plays a crucial role in network function and stability. However, existing recurrent spiking neural networks (RSNNs) are often constructed by random connections without optimization. While RSNNs can produce rich dynami…
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Wenrui Zhang, Hejia Geng, Peng Li
2024-06-20T05:10:55Z
置信度 0.70
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置信度 0.70