LEADER 00944nam0-2200313---450- 001 990005658530403321 005 20090120122124.0 035 $a000565853 035 $aFED01000565853 035 $a(Aleph)000565853FED01 035 $a000565853 100 $a19990604d1969----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $a<>sentimento della morte$fCamillo Cinalli 210 $a[s.l.]$cEdizioni Accademiche$d1969 215 $a205 p.$d22 cm 300 $aIn testa al front.: Accademia degli Abruzzi per le Scienze e le Arti, Classe di Scienze Storiche e Filosofiche 610 0 $aMorte$aSentimento 676 $a195$v21$zita 700 1$aCinalli,$bCamillo$0217867 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005658530403321 952 $aP.1 FG 1591$bIST.ST.FIL. 5473$fFLFBC 959 $aFLFBC 996 $aSentimento della morte$9600644 997 $aUNINA LEADER 05581nam 22009135 450 001 9910300410003321 005 20220407193017.0 010 $a3-662-43850-X 024 7 $a10.1007/978-3-662-43850-3 035 $a(CKB)3710000000218687 035 $a(EBL)1802957 035 $a(SSID)ssj0001338888 035 $a(PQKBManifestationID)11898517 035 $a(PQKBTitleCode)TC0001338888 035 $a(PQKBWorkID)11345041 035 $a(PQKB)11150573 035 $a(DE-He213)978-3-662-43850-3 035 $a(MiAaPQ)EBC1802957 035 $a(PPN)180627430 035 $a(EXLCZ)993710000000218687 100 $a20140805d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aWavelets in neuroscience /$fby Alexander E. Hramov, Alexey A. Koronovskii, Valeri A. Makarov, Alexey N. Pavlov, Evgenia Sitnikova 205 $a1st ed. 2015. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2015. 215 $a1 online resource (331 p.) 225 1 $aSpringer Series in Synergetics,$x0172-7389 300 $aDescription based upon print version of record. 311 $a1-322-17301-X 311 $a3-662-43849-6 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aMathematicalMethods of Signal Processing in Neuroscience -- Brief Tour of Wavelet Theory -- Analysis of Single Neuron Recordings -- Classification of Neuronal Spikes from Extracellular Recordings -- Wavelet Approach to the Study of Rhythmic Neuronal Activity -- Time?Frequency Analysis of EEG: From Theory to Practice -- Automatic Diagnostics and Processing of EEG -- Conclusion -- Index. 330 $aThis book examines theoretical and applied aspects of wavelet analysis in neurophysics, describing in detail different practical applications of the wavelet theory in the areas of neurodynamics and neurophysiology and providing a review of fundamental work that has been carried out in these fields over the last decade. Chapters 1 and 2 introduce and review the relevant foundations of neurophysics and wavelet theory, respectively, pointing on one hand to the various current challenges in neuroscience and introducing on the other the mathematical techniques of the wavelet transform in its two variants (discrete and continuous) as a powerful and versatile tool for investigating the relevant neuronal dynamics. Chapter 3 then analyzes results from examining individual neuron dynamics and intracellular processes. The principles for recognizing neuronal spikes from extracellular recordings and the advantages of using wavelets to address these issues are described and combined with approaches based on wavelet neural networks (chapter 4). The features of time-frequency organization of EEG signals are then extensively discussed, from theory to practical applications (chapters 5 and 6). Lastly, the technical details of automatic diagnostics and processing of EEG signals using wavelets are examined (chapter 7). The book will be a useful resource for neurophysiologists and physicists familiar with nonlinear dynamical systems and data processing, as well as for gradua te students specializing in the corresponding areas. 410 0$aSpringer Series in Synergetics,$x0172-7389 606 $aStatistical physics 606 $aBiomathematics 606 $aNeurobiology 606 $aPhysics 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aSystems biology 606 $aApplications of Nonlinear Dynamics and Chaos Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/P33020 606 $aPhysiological, Cellular and Medical Topics$3https://scigraph.springernature.com/ontologies/product-market-codes/M31020 606 $aNeurobiology$3https://scigraph.springernature.com/ontologies/product-market-codes/L25066 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aSystems Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L15010 615 0$aStatistical physics. 615 0$aBiomathematics. 615 0$aNeurobiology. 615 0$aPhysics. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aSystems biology. 615 14$aApplications of Nonlinear Dynamics and Chaos Theory. 615 24$aPhysiological, Cellular and Medical Topics. 615 24$aNeurobiology. 615 24$aApplications of Graph Theory and Complex Networks. 615 24$aSignal, Image and Speech Processing. 615 24$aSystems Biology. 676 $a515.2433 700 $aHramov$b Alexander E$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063046 702 $aKoronovskii$b Alexey A$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMakarov$b Valeri A$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPavlov$b Alexey N$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSitnikova$b Evgenia$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300410003321 996 $aWavelets in Neuroscience$92841768 997 $aUNINA