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Titlebook: Computational Neuroscience; Second Latin America Vinícius Rosa Cota,Dante Augusto Couto Barone,Lail Conference proceedings 2019 Springer Na

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發(fā)表于 2025-3-21 16:05:16 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Neuroscience
副標(biāo)題Second Latin America
編輯Vinícius Rosa Cota,Dante Augusto Couto Barone,Lail
視頻videohttp://file.papertrans.cn/233/232863/232863.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Computational Neuroscience; Second Latin America Vinícius Rosa Cota,Dante Augusto Couto Barone,Lail Conference proceedings 2019 Springer Na
描述.This book constitutes the thoroughly refereed proceedings of the Second International Workshop of Computational Neuroscience, held in S?o Jo?o Del-Rei, Brazil, in September 2019...The 17 full papers and 3 short papers presented have been thoroughly reviewed and selected from 45 submissions. The papers are organized in topical sections: artificial intelligence, machine learning, and related topics; complex systems and complex networks; computational neuroscience of learning and memory; neural signal processing; software and hardware implementations in neuroscience; brain-machine interfaces and neurostimulation; and seizure prediction..
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; computational neuroscience; computer hardware; computer networks; computer syst
版次1
doihttps://doi.org/10.1007/978-3-030-36636-0
isbn_softcover978-3-030-36635-3
isbn_ebook978-3-030-36636-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

書目名稱Computational Neuroscience影響因子(影響力)




書目名稱Computational Neuroscience影響因子(影響力)學(xué)科排名




書目名稱Computational Neuroscience網(wǎng)絡(luò)公開度




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書目名稱Computational Neuroscience被引頻次




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Motor Learning and Machine Learning: Predicting the Amount of Sessions to Learn the Tracing Task neurological disease, is a serious injury to the individual. The present work aims to propose an approach to estimate the number of sessions required to learn a motor task. In the literature, there are many works on motor learning, mostly looking for ways to decrease the time of skill acquisition o
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Kernel-Spectral-Clustering-Driven Motion Segmentation: Rotating-Objects First Trialsrange of applications and challenging open issues such as: automatic motion segmentation, moving-object tracking, and movement forecasting, among others. In this paper, we study the use of the so-called kernel spectral clustering (KSC) approach to capture the dynamic behavior of frames - representin
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A New Granular Approach for Multivariate Forecastingnt years. One of these developments is the Fuzzy Time Series (FTS), simple and fast methods to create readable and accurate forecasting models. However, as the number of variables increase the complexity of these models becomes impractical. This work proposes the .-FTS, a new approach to enable mult
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Interactive Analysis of the Discussion from a Virtual Community on Neurosciencedays, researchers can fastly gather a large number of discussions from a virtual community of interest for analysis. This paper presents the study of a relevant community on neuroscience, with more than 43,000 registered members. The research method employs a process based on Grounded Theory and Kno
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Influence of Contact Network Topology on the Spread of Tuberculosise complex network models were used with the IBM, namely, random, small world, scale-free, modular and hierarchical models. For every model, we applied the usual topological properties available in literature for the characterization of complex networks. Afterwards, we verified the topological effect
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Association Between Fast and Slow Learning and Molecular Processes in Repetitive Practice: A Post Ho greater memory strengthening in less repetitive practice. These benefits are associated with the AMPA glutamate receptor. However, there are no studies in the literature that explain, in molecular terms, how memory processes during practice (or acquisition) are associated with these benefits. Overa
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Multi-harmonic Analysis Using Magnitude-Squared Coherence and Its Application to Detection of Auditos. Objective Response Detection (ORD) techniques aim to identify the presence of evoked potentials based purely on statistical principles that perform an automatic hypothesis test in the frequency domain and the Magnitude-Squared Coherence (MSC) is a well-known and very efficient uni-variate ORD tec
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