MARC details
| 000 -LEADER |
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| fixed length control field |
03874cam a2200277 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
135565 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ISI Library, Kolkata |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20150226133604.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
130610s2014 mauaf b 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780262019873 (hardcover : alk. paper) |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
ISI Library |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Edition number |
23 |
| Item number |
C678 |
| Classification number |
612.82339 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Cohen, Mike X. |
| 245 10 - TITLE STATEMENT |
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| Title |
Analyzing neural time series data : |
| Remainder of title |
theory and practice / |
| Statement of responsibility, etc |
Mike X. Cohen. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Cambridge : |
| Name of publisher, distributor, etc |
MIT Press, |
| Date of publication, distribution, etc |
c2014. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xviii, 578 p., 16 unnumbered pages of plates : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 490 0# - SERIES STATEMENT |
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| Series statement |
Issues in clinical and cognitive neuropsychology |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references (pages 549-572) and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Part I: Introduction--<br/>1. The purpose of this book, who should read it, and how to use it--<br/>2. Advantages and limitations of time and time-frequency-domain analyses--<br/>3. Interpreting and asking questions about time-frequency results--<br/>4. Introduction to matlab programming--<br/>5. Introduction to the physiological bases of EEG--<br/>6. Practicalities of EEG measurement and experiment design--<br/><br/>Part II: Preprocessing and time-domain analyses--<br/>7. Preprocessing steps necessary and useful for advanced data analysis--<br/>8. EEG artifacts: Their detection, influence, and removal--<br/>9. Overview of time-domain EEG analyses--<br/><br/>Part III: frequency and time-frequency domains analyses--<br/>10. The dot product and convolution--<br/>11. The discrete time fourier transform, the FFT, and the convolution theorem--<br/>12. Morlet wavelets and wavelet convolution--<br/>13. Complex morlet wavelets and extracting power and phase--<br/>14. Bandpass filtering and the Hilbert transform--<br/>15. Short-time FFT--<br/>16. Multitapers--<br/>17. Less commonly used time-frequency decomposition methods--<br/>18. Time-frequency power and baseline normalizations--<br/>19. Intertrial phase clustering--<br/>20. Differences among total, phase-locked, and non-phase-locked power and intertrial phase consistency--<br/>21. Interpretations and limitations of time-frequency power and ITPC analyses--<br/><br/>Part IV: spatial filters--<br/>22. Surface laplacian--<br/>23. Principal components analysis--<br/>24. Basics of single-dipole and distributed-source imaging--<br/><br/>Part V: Connectivity--<br/>25. Introduction to the various connectivity analyses--<br/>26. Phase-based connectivity--<br/>27. Power-based connectivity--<br/>28. Granger prediction--<br/>29. Mutual information--<br/>30. Cross-frequency coupling--<br/>31. Graph theory--<br/><br/>Part VI: statistical analyses--<br/>32. Advantages and limitation of different statistical procedures--<br/>33. nonparametric permutation testing--<br/>34. Within-subject statistical analyses--<br/>35. Group-level analyses--<br/>36. Recommendations for reporting results in figures, tables, and text--<br/><br/>Part VII: Conclusions and future directions--<br/>37. Recurring themes in this book and some personal advice--<br/>38. The future of cognitive electrophysiology--<br/>References--<br/>Index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists."-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Neural networks (Neurobiology) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Neural networks (Computer science). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computational neuroscience. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
| General subdivision |
Biological applications. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
