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標題: Titlebook: Computational Neuroscience; Wanpracha Chaovalitwongse,Panos M. Pardalos,Petros Book 2010 Springer Science+Business Media, LLC 2010 Master [打印本頁]

作者: 欺侮    時間: 2025-3-21 20:06
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)學科排名




書目名稱Computational Neuroscience網(wǎng)絡公開度




書目名稱Computational Neuroscience網(wǎng)絡公開度學科排名




書目名稱Computational Neuroscience被引頻次




書目名稱Computational Neuroscience被引頻次學科排名




書目名稱Computational Neuroscience年度引用




書目名稱Computational Neuroscience年度引用學科排名




書目名稱Computational Neuroscience讀者反饋




書目名稱Computational Neuroscience讀者反饋學科排名





作者: Infect    時間: 2025-3-21 22:17
Springer Optimization and Its Applicationshttp://image.papertrans.cn/c/image/232868.jpg
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Superplumes: Beyond Plate Tectonicsres as functions of certain brain pathologies or increased cerebral engagement. Such measures may form signal features capable of characterizing and differentiating the underlying neural activity. The objective of this chapter is to validate the use of wavelets in extracting such features in the tim
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Britain and Britishness at the Crossroads,an nave Bayes, correlation analysis and .-nearest neighbor classifier. In order to enhance classifiers performance a variety of data preprocessing steps were employed. The results show that although .NN and linear SVM can classify active and nonactive voxels with less than 1.2% error, careful prepro
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Black Hole Superradiance in Astrophysics,nts that generate the electric potentials and magnetic fields measured with electromagnetic (EM) recording technologies. Unlike functional magnetic resonance imaging (fMRI), which is indirectly related to neuroelectrical activity through neurovascular coupling [e.g., the blood oxygen level-dependent
作者: 分開    時間: 2025-3-23 12:52
Superradiance in Black Hole Physics,t learning algorithms. Using the queuing network as the static platform of brain structure and reinforcement learning as the dynamic algorithm to quantify the learning process, this model successfully accounts for several behavioral phenomena related to the learning process of transcription typing a
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Ernst Abbe and His Contributions to Opticsse optical signals in voltage imaging are small and require several kinds of preprocessing, researchers who use voltage imaging often conduct signal averaging of multiple trials and correction of signals by cutting the noise near the baseline in order to improve the apparent signal–noise ratio. Howe
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Ernst Abbe and His Contributions to Opticsaints. It is a reality, however, that we must face optimization of entire systems in which multiple objective sets make it practically impossible to even formulate objective functions and constraints in the standard closed form. We present a new approach techniques inspired by biomolecular interacti
作者: insurgent    時間: 2025-3-24 10:56
Introduction to Topological String Theoriesest improvements in the selection of parameters for the estimation of TE that significantly enhance its accuracy and robustness in identifying the direction and the level of information flow between observed data series generated by coupled complex systems. Second, a new measure, the net transfer of
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作者: 拱墻    時間: 2025-3-24 21:36
An Optimization Approach for Finding a Spectrum of Lyapunov Exponentsithm for solving the optimization model and discuss the computational aspects of the proposed algorithm. To show the efficiency of the algorithm, we apply it to some well-known data sets. Numerical tests show that the algorithm is robust and quite effective, and its performance is comparable with that of other well-known algorithms.
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Computational Neuroscience978-0-387-88630-5Series ISSN 1931-6828 Series E-ISSN 1931-6836
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1931-6828 state-of-the-art account of recent developments in the fiel.This book represents a collection of recent advances in computational studies in neuroscience research that practically applies to a collaborative and integrative environment in engineering and medical domains. This work has been designed
作者: 音的強弱    時間: 2025-3-26 00:34
Britain and Britishness at the Crossroads,ps were employed. The results show that although .NN and linear SVM can classify active and nonactive voxels with less than 1.2% error, careful preprocessing of the data, including dimensionality reduction, outlier elimination, and denoising are important factors in overall classification.
作者: interrogate    時間: 2025-3-26 07:38

作者: grotto    時間: 2025-3-26 10:32
Comparison of Supervised Classification Methods with Various Data Preprocessing Procedures for Activps were employed. The results show that although .NN and linear SVM can classify active and nonactive voxels with less than 1.2% error, careful preprocessing of the data, including dimensionality reduction, outlier elimination, and denoising are important factors in overall classification.
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作者: 占線    時間: 2025-3-27 02:18
Superradiance in Flat Spacetime, The models seek to explain detailed electromyographic data of rapid single-joint arm movement and identify their neural substrates. The models are successful in predicting several characteristics of voluntary movement.
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https://doi.org/10.1007/978-1-4020-5750-2attributable more to differences in patterns of cooperation between brain regions, rather than to differences in which brain regions are used in each domain. This is not a result that is predicted by prevailing localization-based and modular accounts of the organization of the cortex.
作者: 無效    時間: 2025-3-27 23:34
Superpowers in the Post-Cold War Era the environments that the organism faces. Networks that are closely regulated can behave as robust classifiers which can recognize and respond to their environment. Using simple examples we demonstrate that such networks perform dynamic classification, determining the most efficient set of genes needed to replace consumed products.
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Springer Series in Optical Sciencestion of such a system. This review seeks to present many of the advances made toward closed-loop deep brain stimulation and hopefully provides some insight to further avenues of study toward this end.
作者: Chemotherapy    時間: 2025-3-28 13:39
Introduction to Topological String Theoriesf measurement noise on the measures’ performance is investigated up to .?dB. We demonstrate the usefulness of the improved method by analyzing data series from coupled nonlinear chaotic oscillators. Our findings suggest that TE and NTE may play a critical role in elucidating the functional connectivity of complex networks of nonlinear systems.
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作者: 高歌    時間: 2025-3-28 22:22
A Genetic Classifier Account for the Regulation of Expression the environments that the organism faces. Networks that are closely regulated can behave as robust classifiers which can recognize and respond to their environment. Using simple examples we demonstrate that such networks perform dynamic classification, determining the most efficient set of genes needed to replace consumed products.
作者: 死亡率    時間: 2025-3-28 23:21
Neuroelectromagnetic Source Imaging of Brain Dynamicsed a great variety of source estimation techniques that are well informed by anatomy, neurophysiology, and the physics of volume conduction. State-of-the-art approaches can resolve many simultaneously active brain regions and their single trial dynamics and can even reveal the spatial extent of local cortical current flows.
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Book 2010entific data to their colleagues in medical - main. This volume will be very appealing to graduate (and advanced undergraduate) students, researchers, and practitioners across a wide range of industries (e. g. , pharmaceutical, chemical, biological sciences), who require a detailed overview of the p
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作者: 逗它小傻瓜    時間: 2025-3-30 04:40
Ernst Abbe and His Contributions to Opticsignal of each pixel as the input and the inspiratory motor nerve activity of the spinal cord as the output. The model consisted of a threshold function and a delay transfer function. Although it was a simple nonlinear dynamic model, it could provide precise estimation of the respiratory motor output
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作者: 催眠藥    時間: 2025-3-31 08:37
Molecule-Inspired Methods for Coarse-Grain Multi-System Optimizationrstand systems such as living cells and large neuronal assemblies. With large-scale applications of this prototype in sight, we propose three basic optimization principles critical to the successful development of robust synthetic models of these complex systems: physical–chemical, computational, an




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