MATLAB for neuroscientists: an introduction to scientific computing in MATLAB
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier/Academic Press
2009
|
| Schlagworte: | |
| Online-Zugang: | FUBA1 Volltext |
| Beschreibung: | Matlab is the accepted standard for scientific computing, used globally in virtually all Neuroscience and Cognitive Psychology laboratories. For instance, SPM, the most used software for the analysis and manipulation of fMRI images in research and clinical practice is fully programmed in matlab, and its use of the possibility to allow for sophisticated software modules to be freely added to the software has established it as the by far dominant software in the field. Many universities now offer, or are beginning to offer matlab introductory courses in their neuroscience and psychology programs. Nevertheless, so far there hasn't been a textbook specific to this market, and the use of the plethora of existing engineering focused Matlab textbooks is notoriously difficult for teaching the package in those environments. This is the first comprehensive teaching resource and textbook for the teaching of Matlab in the Neurosciences and in Psychology. Matlab is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. Thus a wide variety of computational problems can be addressed in a single programming environment. The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their own analytical tools. As students advance in their research careers, they will have achieved the fluency required to understand and adapt more specialized tools as opposed to treating them as "black boxes". Virtually all computational approaches in the book are covered by using genuine experimental data that are either collected as part of the lab project or were collected in the labs of the authors, providing the casual student with the look and feel of real data. In some rare cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research. The ability to effectively use computers in research is necessary in an academic environment that is increasingly focused on quantitative issues. Matlab represents an ideal language of scientific computing. It is based on powerful linear algebra structures which lend themselves to empirical problems on the one hand, while at the same time allowing the student to make rapid problem-oriented progress (particularly in terms of visualization of data points) without having to lose focus by worrying too much about memory allocation and other "plumbing" minutiae as would be required in other, more low-level programming languages such as C or C++. Currently, there are several books that provide introductions to Matlab that are either too generic and fundamental or too irrelevant for neuroscientists and cognitive psychologists who typically face a very circumscribed range of problems in data collection, data analysis and signal processing. Some non-book tutorials and primers that are in use in the community are typically out of date. Matlab versions are usually not backwards compatible. Many commands and functions used in older tutorials and primers, such as "flops" won't work in current versions of Matlab, necessitating a book that is timely and up-to-date. The complete lack of a relevant resource in this area, combined with a clearly felt need for such a text provided the primary and initial impetus for this project. The authors provide such a dearly needed resource adapting and pooling materials that developed for and used in highly rated courses involving the use of Matlab in Neuroscience at the University of Chicago Includes bibliographical references (pages 371-377) and index |
| Beschreibung: | 1 Online-Ressource (XIV, 384, [8] S.) Ill., graph. Darst. |
| ISBN: | 9780080923284 0080923283 |
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| 500 | |a Matlab is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. Thus a wide variety of computational problems can be addressed in a single programming environment. The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their own analytical tools. As students advance in their research careers, they will have achieved the fluency required to understand and adapt more specialized tools as opposed to treating them as "black boxes". Virtually all computational approaches in the book are covered by using genuine experimental data that are either collected as part of the lab project or were collected in the labs of the authors, providing the casual student with the look and feel of real data. | ||
| 500 | |a In some rare cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research. The ability to effectively use computers in research is necessary in an academic environment that is increasingly focused on quantitative issues. Matlab represents an ideal language of scientific computing. It is based on powerful linear algebra structures which lend themselves to empirical problems on the one hand, while at the same time allowing the student to make rapid problem-oriented progress (particularly in terms of visualization of data points) without having to lose focus by worrying too much about memory allocation and other "plumbing" minutiae as would be required in other, more low-level programming languages such as C or C++. | ||
| 500 | |a Currently, there are several books that provide introductions to Matlab that are either too generic and fundamental or too irrelevant for neuroscientists and cognitive psychologists who typically face a very circumscribed range of problems in data collection, data analysis and signal processing. Some non-book tutorials and primers that are in use in the community are typically out of date. Matlab versions are usually not backwards compatible. Many commands and functions used in older tutorials and primers, such as "flops" won't work in current versions of Matlab, necessitating a book that is timely and up-to-date. The complete lack of a relevant resource in this area, combined with a clearly felt need for such a text provided the primary and initial impetus for this project. The authors provide such a dearly needed resource adapting and pooling materials that developed for and used in highly rated courses involving the use of Matlab in Neuroscience at the University of Chicago | ||
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| indexdate | 2024-07-10T01:18:03Z |
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| isbn | 9780080923284 0080923283 |
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| spelling | MATLAB for neuroscientists an introduction to scientific computing in MATLAB Pascal Wallisch ... Amsterdam Elsevier/Academic Press 2009 1 Online-Ressource (XIV, 384, [8] S.) Ill., graph. Darst. txt rdacontent c rdamedia cr rdacarrier Matlab is the accepted standard for scientific computing, used globally in virtually all Neuroscience and Cognitive Psychology laboratories. For instance, SPM, the most used software for the analysis and manipulation of fMRI images in research and clinical practice is fully programmed in matlab, and its use of the possibility to allow for sophisticated software modules to be freely added to the software has established it as the by far dominant software in the field. Many universities now offer, or are beginning to offer matlab introductory courses in their neuroscience and psychology programs. Nevertheless, so far there hasn't been a textbook specific to this market, and the use of the plethora of existing engineering focused Matlab textbooks is notoriously difficult for teaching the package in those environments. This is the first comprehensive teaching resource and textbook for the teaching of Matlab in the Neurosciences and in Psychology. Matlab is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. Thus a wide variety of computational problems can be addressed in a single programming environment. The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their own analytical tools. As students advance in their research careers, they will have achieved the fluency required to understand and adapt more specialized tools as opposed to treating them as "black boxes". Virtually all computational approaches in the book are covered by using genuine experimental data that are either collected as part of the lab project or were collected in the labs of the authors, providing the casual student with the look and feel of real data. In some rare cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research. The ability to effectively use computers in research is necessary in an academic environment that is increasingly focused on quantitative issues. Matlab represents an ideal language of scientific computing. It is based on powerful linear algebra structures which lend themselves to empirical problems on the one hand, while at the same time allowing the student to make rapid problem-oriented progress (particularly in terms of visualization of data points) without having to lose focus by worrying too much about memory allocation and other "plumbing" minutiae as would be required in other, more low-level programming languages such as C or C++. Currently, there are several books that provide introductions to Matlab that are either too generic and fundamental or too irrelevant for neuroscientists and cognitive psychologists who typically face a very circumscribed range of problems in data collection, data analysis and signal processing. Some non-book tutorials and primers that are in use in the community are typically out of date. Matlab versions are usually not backwards compatible. Many commands and functions used in older tutorials and primers, such as "flops" won't work in current versions of Matlab, necessitating a book that is timely and up-to-date. The complete lack of a relevant resource in this area, combined with a clearly felt need for such a text provided the primary and initial impetus for this project. The authors provide such a dearly needed resource adapting and pooling materials that developed for and used in highly rated courses involving the use of Matlab in Neuroscience at the University of Chicago Includes bibliographical references (pages 371-377) and index MATLAB. Computing Methodologies Neurosciences MATLAB. Neuroscience / Data processing. Computing Methodologies. Neurosciences Science: Biology / Natural History Science Science: Anatomy / Physiology MEDICAL / Neuroscience bisacsh PSYCHOLOGY / Neuropsychology bisacsh MATLAB. fast Neurosciences / Data processing fast Datenverarbeitung Medizin Naturwissenschaft Neurosciences Data processing MATLAB (DE-588)4329066-8 gnd rswk-swf Neurowissenschaften (DE-588)7555119-6 gnd rswk-swf MATLAB (DE-588)4329066-8 s Neurowissenschaften (DE-588)7555119-6 s b DE-604 Wallisch, Pascal 1978- Sonstige (DE-588)1017021880 oth Erscheint auch als Druck-Ausgabe, Hardcover 978-0-12-374551-4 (DE-604)BV035848706 Erscheint auch als Druck-Ausgabe, Hardcover 0-12-374551-9 (DE-604)BV035848706 http://www.sciencedirect.com/science/book/9780123745514 Verlag Volltext |
| spellingShingle | MATLAB for neuroscientists an introduction to scientific computing in MATLAB MATLAB. Computing Methodologies Neurosciences MATLAB. Neuroscience / Data processing. Computing Methodologies. Neurosciences Science: Biology / Natural History Science Science: Anatomy / Physiology MEDICAL / Neuroscience bisacsh PSYCHOLOGY / Neuropsychology bisacsh MATLAB. fast Neurosciences / Data processing fast Datenverarbeitung Medizin Naturwissenschaft Neurosciences Data processing MATLAB (DE-588)4329066-8 gnd Neurowissenschaften (DE-588)7555119-6 gnd |
| subject_GND | (DE-588)4329066-8 (DE-588)7555119-6 |
| title | MATLAB for neuroscientists an introduction to scientific computing in MATLAB |
| title_auth | MATLAB for neuroscientists an introduction to scientific computing in MATLAB |
| title_exact_search | MATLAB for neuroscientists an introduction to scientific computing in MATLAB |
| title_full | MATLAB for neuroscientists an introduction to scientific computing in MATLAB Pascal Wallisch ... |
| title_fullStr | MATLAB for neuroscientists an introduction to scientific computing in MATLAB Pascal Wallisch ... |
| title_full_unstemmed | MATLAB for neuroscientists an introduction to scientific computing in MATLAB Pascal Wallisch ... |
| title_short | MATLAB for neuroscientists |
| title_sort | matlab for neuroscientists an introduction to scientific computing in matlab |
| title_sub | an introduction to scientific computing in MATLAB |
| topic | MATLAB. Computing Methodologies Neurosciences MATLAB. Neuroscience / Data processing. Computing Methodologies. Neurosciences Science: Biology / Natural History Science Science: Anatomy / Physiology MEDICAL / Neuroscience bisacsh PSYCHOLOGY / Neuropsychology bisacsh MATLAB. fast Neurosciences / Data processing fast Datenverarbeitung Medizin Naturwissenschaft Neurosciences Data processing MATLAB (DE-588)4329066-8 gnd Neurowissenschaften (DE-588)7555119-6 gnd |
| topic_facet | MATLAB. Computing Methodologies Neurosciences MATLAB. Neuroscience / Data processing. Computing Methodologies. Neurosciences Science: Biology / Natural History Science Science: Anatomy / Physiology MEDICAL / Neuroscience PSYCHOLOGY / Neuropsychology Neurosciences / Data processing Datenverarbeitung Medizin Naturwissenschaft Neurosciences Data processing MATLAB Neurowissenschaften |
| url | http://www.sciencedirect.com/science/book/9780123745514 |
| work_keys_str_mv | AT wallischpascal matlabforneuroscientistsanintroductiontoscientificcomputinginmatlab |