Statistical and process models for cognitive neuroscience and aging [electronic resource] / edited by Michael J. Wenger, Christof Schuster.

Contributor(s): Wenger, Michael J | Schuster, ChristofMaterial type: Text

TextSeries: Notre Dame series on quantitative methodologiesPublication details: Mahwah, N.J. : Lawrence Erlbaum, 2007. Description: x, 352 p. : illISBN: 9780203936375 (e-book : PDF)Subject(s): Cognitive neuroscience | Cognitive neuroscience -- Statistical methods | Human information processingGenre/Form: Electronic books.Additional physical formats: No titleOnline resources: Click here to access online Also available in print edition.

Contents:

1. Longitudinal study in cognition and aging / Steven D. Edland & Ronald C. Petersen -- 2. Computational cognitive neuroscience : building and testing biologically plausible computational models of neuroscience, neuroimaging, and behavioral data / F. Gregory Ashby & Vivian V. Valentin -- 3. Modeling the role of acetylcholine and hippocampal theta rhythm in memory-guided behavior / Michael E. Hasselmo, Jill McGaughy, & Christiane Linster -- 4. Modeling amnesia : connectionist and mathematical approaches / Jaap M.J. Murre, Martijn Meeter, & Antonio G. Chessa -- 5. Who does what : taking measures / Alon Keinan ... [et al.] -- 6. Generalized component analysis and blind source separation methods for analyzing multichannel brain signals / Andrzej Cichocki -- 7. Quantifying scaling properties of neurophysiological time series / Thomas C. Ferree ... [et al.] -- 8. Applications of independent component analysis to electroencephalography / Tzyy-Ping Jung & Te-Won Lee.

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