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Statistical signal processing for neuroscience and neurotechnology [electronic resource]

Statistical signal processing for neuroscience and neurotechnology [electronic resource]

Material type
E-Book(소장)
Personal Author
Oweiss, Karim G.
Title Statement
Statistical signal processing for neuroscience and neurotechnology [electronic resource] / edited by Karim G. Oweiss.
Publication, Distribution, etc
Burlington, MA :   Academic Press/Elsevier,   2010.  
Physical Medium
1 online resource (xxii, 411 p.) : ill.
ISBN
0080962963 (electronic bk.) 9780080962962 (electronic bk.)
요약
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. A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems.
General Note
Title from e-Book title page.  
Content Notes
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 [and others] -- Inner products for representation and learning in the spike train domain / Antonio R.C. Paiva, Il Park, and Jose C. Principe -- Signal processing and machine learning for single-trial analysis of simultaneously acquired EEG and fMRI / Paul Sajda [and others] -- 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 [and others].
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Electroencephalography. Signal processing --Digital techniques. Brain mapping. Brain --physiology. Signal Processing, Computer-Assisted. Brain Mapping --instrumentation. Man-Machine Systems. Prostheses and Implants. User-Computer Interface.
Short cut
ScienceDirect   URL
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020 ▼a 0080962963 (electronic bk.)
020 ▼a 9780080962962 (electronic bk.)
035 ▼a (OCoLC)668196253 ▼z (OCoLC)691831593 ▼z (OCoLC)796017114 ▼z (OCoLC)815724669 ▼z (OCoLC)828059620
040 ▼a OPELS ▼b eng ▼e pn ▼c OPELS ▼d CDX ▼d OCLCQ ▼d YDXCP ▼d E7B ▼d EBLCP ▼d MHW ▼d OCLCQ ▼d REDDC ▼d OCLCQ ▼d N$T ▼d UMI ▼d COO ▼d DEBSZ ▼d OCLCQ ▼d VLB ▼d NLGGC ▼d OCLCQ ▼d OCLCF ▼d OCLCQ ▼d OCLCO ▼d OCLCA ▼d OCLCQ ▼d STF ▼d MERUC ▼d OCLCO ▼d OCLCA ▼d BUF ▼d OCLCO ▼d 211009
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082 0 0 ▼a 616.8/047547 ▼2 23
084 ▼a 616.8047547 ▼2 DDCK
090 ▼a 616.8047547
245 0 0 ▼a Statistical signal processing for neuroscience and neurotechnology ▼h [electronic resource] / ▼c edited by Karim G. Oweiss.
260 ▼a Burlington, MA : ▼b Academic Press/Elsevier, ▼c 2010.
300 ▼a 1 online resource (xxii, 411 p.) : ▼b ill.
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a 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 [and others] -- Inner products for representation and learning in the spike train domain / Antonio R.C. Paiva, Il Park, and Jose C. Principe -- Signal processing and machine learning for single-trial analysis of simultaneously acquired EEG and fMRI / Paul Sajda [and others] -- 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 [and others].
520 ▼a 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. A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Electroencephalography.
650 0 ▼a Signal processing ▼x Digital techniques.
650 0 ▼a Brain mapping.
650 1 2 ▼a Brain ▼x physiology. ▼0 (DNLM)D001921Q000502.
650 1 2 ▼a Signal Processing, Computer-Assisted. ▼0 (DNLM)D012815.
650 2 2 ▼a Brain Mapping ▼x instrumentation. ▼0 (DNLM)D001931Q000295.
650 2 2 ▼a Man-Machine Systems. ▼0 (DNLM)D008328.
650 2 2 ▼a Prostheses and Implants. ▼0 (DNLM)D019736.
650 2 2 ▼a User-Computer Interface. ▼0 (DNLM)D014584.
700 1 ▼a Oweiss, Karim G.
856 4 0 ▼3 ScienceDirect ▼u https://oca.korea.ac.kr/link.n2s?url=http://www.sciencedirect.com/science/book/9780123750273
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 616.8047547 Accession No. E14002879 Availability Loan can not(reference room) Due Date Make a Reservation Service M

Contents information

Table of Contents

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 [and others]
Inner products for representation and learning in the spike train domain / Antonio R.C. Paiva, Il Park, and José C. Príncipe
Signal processing and machine learning for single-trial analysis of simultaneously acquired EEG and fMRI / Paul Sajda [and others]
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 [and others].

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