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  1. 301

    Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive by Elena Pastorelli, Alper Yegenoglu, Alper Yegenoglu, Nicole Kolodziej, Nicole Kolodziej, Nicole Kolodziej, Willem Wybo, Francesco Simula, Sandra Diaz-Pier, Johan Frederik Storm, Pier Stanislao Paolucci

    Published 2025-05-01
    “…In contrast, classical models of learning in spiking networks are based on single-compartment neurons, lacking the ability to describe the integration of apical and basal/somatic information. …”
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    Same data, different results? Machine learning approaches in bioacoustics by Kaja Wierucka, Derek Murphy, Stuart K. Watson, Nikola Falk, Claudia Fichtel, Julian León, Stephan T. Leu, Peter M. Kappeler, Elodie F. Briefer, Marta B. Manser, Nikhil Phaniraj, Marina Scheumann, Judith M. Burkart

    Published 2025-08-01
    “…However, variability in feature extraction and classification methods limits the comparability of results across species and studies, constraining conclusions we can draw about the ecology and evolution of the groups under study. …”
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    Key technologies and standards progress for 5G positioning by Jianxiang LI, Yinan JIA, Xiaoyang TIAN, Bin REN, Xiaotao REN, Haiyang QUAN

    Published 2023-11-01
    “…Location service features are enabled in 5G to allow new and innovative location-based services to be developed for kinds of scenarios and the key performance requirements are identified by 3GPP.Firstly, the planning of location service feature in each standard release of 5G was introduced based on the standard process of 5G high-accuracy positioning in 3GPP.Secondly, 5G network-assisted BeiDou navigation satellite system was studied, including the positioning technologies and the standard progress of A-BDS in 3GPP.Thirdly, the network architecture, key technologies and the standards progress for sidelink positioning in 5G were introduced.Finally, the evolution of 6G positioning was analyzed.…”
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  20. 320

    Survey of deep fake audio generation and detection techniques by ZENG Zhiping, ZHANG Xulong, QU Xiaoyang, XIAO Chunguang, WANG Jianzong

    Published 2025-01-01
    “…Subsequently, an in-depth analysis was conducted on both acoustic feature-based and end-to-end model-based fake audio detection strategies, delving into details such as deep acoustic feature detection, pre-trained neural network feature detection, end-to-end model optimization, generalization enhancement techniques, and the enhancement of real-time detection. …”
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