LEADER 00840nam0-2200265 --450 001 9910268754903321 005 20180525092745.0 100 $a20180525d196.----kmuy0itay5050 ba 101 $aeng 102 $aCH 105 $aa 001yy 200 1 $aExempla graphica$ecase histories of seventyeight works by seventyeight members of the Alliance Graphique Internationale$ftext by Manuel Gasser$gdesigned by Heiri Steiner 210 $aZürich$cHug & Söhne$d[196.] 215 $a175, XXXII p.$cill.$d31 cm 300 $aRiassunto in francese 610 0 $aDesign$aStoria 700 1$aGasser,$bManuel$036604 702 1$aSteiner,$bHeiri 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910268754903321 952 $aRGT 1178$b3999$fDARPU 959 $aDARPU 996 $aExempla graphica$91505420 997 $aUNINA LEADER 03897nam 22005774a 450 001 9910453922303321 005 20191030193358.0 010 $a1-282-71145-8 010 $a9786612711459 010 $a0-08-092328-3 035 $a(CKB)1000000000549871 035 $a(EBL)365619 035 $a(OCoLC)318327993 035 $a(SSID)ssj0000199314 035 $a(PQKBManifestationID)12028951 035 $a(PQKBTitleCode)TC0000199314 035 $a(PQKBWorkID)10196236 035 $a(PQKB)10575503 035 $a(MiAaPQ)EBC365619 035 $a(Au-PeEL)EBL365619 035 $a(CaPaEBR)ebr10254729 035 $a(CaONFJC)MIL271145 035 $a(EXLCZ)991000000000549871 100 $a20080626d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aMATLAB for neuroscientists$b[electronic resource] $ean introduction to scientific computing in MATLAB /$fPascal Wallisch ... [et al.] 210 $aAmsterdam ;$aBoston $cElsevier/Academic Press$dc2009 215 $a1 online resource (407 p.) 300 $aDescription based upon print version of record. 311 $a0-12-374551-9 320 $aIncludes bibliographical references (p. 371-377) and index. 327 $aFront 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: Convolution 327 $aChapter 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 Neurons 327 $aChapter 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 Plates 330 $aMatlab 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 606 $aNeurosciences$xData processing 608 $aElectronic books. 615 0$aNeurosciences$xData processing. 676 $a612.80285 701 $aWallisch$b Pascal$f1978-$0979949 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910453922303321 996 $aMATLAB for neuroscientists$92234914 997 $aUNINA