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

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书目名称Computational Neuroscience影响因子(影响力)




书目名称Computational Neuroscience影响因子(影响力)学科排名




书目名称Computational Neuroscience网络公开度




书目名称Computational Neuroscience网络公开度学科排名




书目名称Computational Neuroscience被引频次




书目名称Computational Neuroscience被引频次学科排名




书目名称Computational Neuroscience年度引用




书目名称Computational Neuroscience年度引用学科排名




书目名称Computational Neuroscience读者反馈




书目名称Computational Neuroscience读者反馈学科排名

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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

Conflagration

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

ENNUI

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

易受骗

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

追踪

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

追踪

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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转向

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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