Statistical Signal Processing for Neuroscience and Neurotechnology /
This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the...
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| Format: | text |
| Language: | eng |
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Burlington, MA : Academic Press/Elsevier,
2010
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| author | Oweiss, Karim G., editor 522099 |
| author_facet | Oweiss, Karim G., editor 522099 |
| author_sort | Oweiss, Karim G., editor 522099 |
| collection | OCEAN |
| description | This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience. |
| first_indexed | 2024-03-05T11:43:53Z |
| format | text |
| id | KOHA-OAI-TEST:464673 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T11:43:53Z |
| publishDate | 2010 |
| publisher | Burlington, MA : Academic Press/Elsevier, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:4646732021-07-04T06:44:42ZStatistical Signal Processing for Neuroscience and Neurotechnology / Oweiss, Karim G., editor 522099 textBurlington, MA : Academic Press/Elsevier,2010©2010engThis is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience.Includes bibliographical references and index.Detection and classification of extracellular action potential recordings / Karim G. Oweiss and Mehdi A. Aghagolzadeh -- Information-theoretic analysis of neural data / Don H. Johnson -- Identification of nonlinear dynamics in neural population activity / Dong Song and Theodore W. Berger -- Graphical models of functional and effective neuronal connectivity / Seif M. Eldawlatly and Karim G. Oweiss -- State-space modeling of neural spike train and behavioral data / Zhe Chen, Riccardo Barbieri, and Emery N. Brown -- Neural decoding for motor and communication prostheses / Byron M. Yu ... [et al.] -- Inner products for representation and learning in the spike train domain / Antonio R.C. Paiva, Il Park, and Jos Č. Prn̕cipe -- Signal processing and machine learning for single-trial analysis of simultaneously acquired EEG and fMRI / Paul Sajda ... [et al.] -- Statistical pattern recognition and machine learning in brain-computer interfaces / Rajesh P.N. Rao and Reinhold Scherer -- Prediction of muscle activity from cortical signals to restore hand grasp in subjects with spinal cord injury / Emily R. Oby ... [et al.].This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience.PSZ_JBBrain mappingElectroencephalographySignal processingURN:ISBN:9780123750273 |
| spellingShingle | Brain mapping Electroencephalography Signal processing Oweiss, Karim G., editor 522099 Statistical Signal Processing for Neuroscience and Neurotechnology / |
| title | Statistical Signal Processing for Neuroscience and Neurotechnology / |
| title_full | Statistical Signal Processing for Neuroscience and Neurotechnology / |
| title_fullStr | Statistical Signal Processing for Neuroscience and Neurotechnology / |
| title_full_unstemmed | Statistical Signal Processing for Neuroscience and Neurotechnology / |
| title_short | Statistical Signal Processing for Neuroscience and Neurotechnology / |
| title_sort | statistical signal processing for neuroscience and neurotechnology |
| topic | Brain mapping Electroencephalography Signal processing |
| work_keys_str_mv | AT oweisskarimgeditor522099 statisticalsignalprocessingforneuroscienceandneurotechnology |