00960nam0 22002533i 450 SUN009681420140212125508.393978-03-331-0902-10.0020140211d1969 |0engc50 baengENGGB|||| |||||New lower Cambridge EnglishLinton StoneLondon: MacMillan1969268 p.19 cm.GBLondonSUNL000015Stone, LintonSUNV074213245347MacMillanSUNV004904650ITSOL20181109RICASUN0096814UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALI07 CONS Zc 2176 07 DP 3733 UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALIIT-CE0103DP3733CONS Zc 2176caNew lower Cambridge English45476UNICAMPANIA03897nam 22005774a 450 991045392230332120191030193358.01-282-71145-897866127114590-08-092328-3(CKB)1000000000549871(EBL)365619(OCoLC)318327993(SSID)ssj0000199314(PQKBManifestationID)12028951(PQKBTitleCode)TC0000199314(PQKBWorkID)10196236(PQKB)10575503(MiAaPQ)EBC365619(Au-PeEL)EBL365619(CaPaEBR)ebr10254729(CaONFJC)MIL271145(EXLCZ)99100000000054987120080626d2009 uy 0engur|n|---|||||txtccrMATLAB for neuroscientists[electronic resource] an introduction to scientific computing in MATLAB /Pascal Wallisch ... [et al.]Amsterdam ;Boston Elsevier/Academic Pressc20091 online resource (407 p.)Description based upon print version of record.0-12-374551-9 Includes bibliographical references (p. 371-377) and index.Front Cover; MATLAB for Neuroscientists; Copyright Page; Contents; Preface; About the Authors; How to Use This Book; Part I: Fundamentals; Chapter 1: Introduction; Chapter 2: MATLAB Tutorial; Part II: Data collection with matlab; Chapter 3: Visual Search and Pop Out; Chapter 4: Attention; Chapter 5: Psychophysics; Chapter 6: Signal Detection Theory; Part III: Data Analysis with MATLAB; Chapter 7: Frequency Analysis Part I: Fourier Decomposition; Chapter 8: Frequency Analysis Part II: Nonstationary Signals and Spectrograms; Chapter 9: Wavelets; Chapter 10: ConvolutionChapter 11: Introduction to Phase Plane AnalysisChapter 12: Exploring the Fitzhugh-Nagumo Model; Chapter 13: Neural Data Analysis: Encoding; Chapter 14: Principal Components Analysis; Chapter 15: Information Theory; Chapter 16: Neural Decoding Part I: Discrete Variables; Chapter 17: Neural Decoding Part II: Continuous Variables; Chapter 18: Functional Magnetic Imaging; Part IV: Data modeling with matlab; Chapter 19: Voltage-Gated Ion Channels; Chapter 20: Models of a Single Neuron; Chapter 21: Models of the Retina; Chapter 22: Simplified Model of Spiking NeuronsChapter 23: Fitzhugh-Nagumo Model: Traveling WavesChapter 24: Decision Theory; Chapter 25: Markov Models; Chapter 26: Modeling Spike Trains as a Poisson Process; Chapter 27: Synaptic Transmission; Chapter 28: Neural Networks Part I: Unsupervised Learning; Chapter 29: Neural Network Part II: Supervised Learning; Appendix A: Thinking in MATLAB; Appendix B: Linear Algebra Review; Appendix C: Master Equation List; References; Index; Color PlatesMatlab 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 programsNeurosciencesData processingElectronic books.NeurosciencesData processing.612.80285Wallisch Pascal1978-979949MiAaPQMiAaPQMiAaPQBOOK9910453922303321MATLAB for neuroscientists2234914UNINA