Statistical and process models for cognitive neuroscience and aging

Statistical and process models for cognitive neuroscience and aging
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DOI：
10.4324/9780203936375
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发表时间：
2007-01
期刊：
--
影响因子：
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通讯作者：
M. Wenger;C. Schuster
M. Wenger;C. Schuster
中科院分区：
其他
文献类型：
--
作者：
M. Wenger;C. Schuster

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目录：M.J. Wenger，C.舒斯特，序言。S.D. Edland，R.C.彼得森，认知和衰老的纵向研究。F.G. Ashby，V.V. Valentin，Computational Cognitive Neuroscience：Building and Testing Biologically Plausible Computational Models of Neuroscience，Neuroimaging，and Behavioral Data.法医作者：J. Linster，模拟乙酰胆碱和海马Theta节律在记忆引导行为中的作用。J.M.J. Murre，M. Meeter，A.G. Chessa，Modeling Objectivesia：Connectionist and Mathematical Approaches。a. Keinan，A.考夫曼，C.C.希尔格塔格岛Meilijson、E.《谁做什么：采取措施》（Who Does What：Taking Measures）a. Cicelski，分析多通道脑信号的广义分量分析和盲源分离方法。T.C. Ferree，文学硕士克雷默，D.J. McGonigle，R.C. Hwa，量化神经生理时间序列中的标度特性。T. - P. Jung，T. - W.李，独立分量分析在脑电图中的应用。
Contents: M.J. Wenger, C. Schuster, Preface. S.D. Edland, R.C. Petersen, Longitudinal Study in Cognition and Aging. F.G. Ashby, V.V. Valentin, Computational Cognitive Neuroscience: Building and Testing Biologically Plausible Computational Models of Neuroscience, Neuroimaging, and Behavioral Data. M.E. Hasselmo, J. McGaughy, C. Linster, Modeling the Role of Acetylcholine and Hippocampal Theta Rhythm in Memory-Guided Behavior. J.M.J. Murre, M. Meeter, A.G. Chessa, Modeling Amnesia: Connectionist and Mathematical Approaches. A. Keinan, A. Kaufman, C.C. Hilgetag, I. Meilijson, E. Ruppin, Who Does What: Taking Measures. A. Cichocki, Generalized Component Analysis and Blind Source Separation Methods for Analyzing Multichannel Brain Signals. T.C. Ferree, M.A. Kramer, D.J. McGonigle, R.C. Hwa, Quantifying Scaling Properties in Neurophysiological Time Series. T.-P. Jung, T.-W. Lee, Applications of Independent Component Analysis to Electroencephalography.