MATLAB for Neuroscientists
Academic Press Inc (Verlag)
978-0-12-374551-4 (ISBN)
- Titel erscheint in neuer Auflage
- Artikel merken
MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB 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 cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research.
Pascal Wallisch received his PhD from the University of Chicago, did postdoctoral work at the Center for Neural Science at New York University, and currently serves as a clinical assistant professor of Psychology at New York University. His research interests are at the intersection of Psychology and Neuroscience, specifically Cognitive and Computational Neuroscience. His current work focuses on motion perception, autism and the appraisal of film.
1. Introduction2. MATLAB Tutorial3. Visual Search and Pop Out4. Attention5. Psychophysics6. Signal Detection Theory7. Frequency Analysis Part I: Fourier Decomposition8. Frequency Analysis Part II: Nonstationary Signals and Spectrograms9. Wavelets10. Convolution11. Introduction to Phase Plane Analysis12. Exploring the Fitzhugh-Nagumo Model13. Neural Data Analysis: Encoding14. Principal Components Analysis15. Information Theory16. Neural Decoding Part I: Discrete Variables17. Neural Decoding Part II: Continuous Variables18. Functional Magnetic Imaging19. Voltage-Gated Ion Channels20. Models of a Single Neuron21. Models of the Retina22. Simplified Model of Spiking Neurons23. Fitzhugh-Nagumo Model: Traveling Waves24. Decision Theory25. Markov Models26. Modeling Spike Trains as a Poisson Process27. Synaptic Transmission28. Neural Networks Part I: Unsupervised Learning29. Neural Network Part II: Supervised Learning
Erscheint lt. Verlag | 6.11.2008 |
---|---|
Verlagsort | San Diego |
Sprache | englisch |
Maße | 191 x 235 mm |
Gewicht | 925 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
Medizin / Pharmazie ► Medizinische Fachgebiete ► Neurologie | |
ISBN-10 | 0-12-374551-9 / 0123745519 |
ISBN-13 | 978-0-12-374551-4 / 9780123745514 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich