LEADER 02036nam0 2200433 i 450 001 VAN0114548 005 20220303111205.679 017 70$2N$a978-3-319-32285-8 100 $a20180206d2016 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aComputational modeling of neural activities for statistical inference$fAntonio Kolossa 210 $a[Cham]$cSpringer$d2016 215 $aXXIV, 127 p.$cill.$d24 cm 500 1$3VAN0242046$aComputational modeling of neural activities for statistical inference$91523236 606 $a92C20$xNeural biology [MSC 2020]$3VANC020365$2MF 606 $a92-XX$xBiology and other natural sciences [MSC 2020]$3VANC020839$2MF 606 $a92C55$xBiomedical imaging and signal processing [MSC 2020]$3VANC022145$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62F15$xBayesian inference [MSC 2020]$3VANC024528$2MF 606 $a92B15$xGeneral Biostatistics [MSC 2020]$3VANC026442$2MF 606 $a62C12$xEmpirical decision procedures; empirical Bayes procedures [MSC 2020]$3VANC026448$2MF 610 $aBayesian observer model$9KW:K 610 $aDesign matrices for model estimation$9KW:K 610 $aDigital filtering model$9KW:K 610 $aEvent-related potentials$9KW:K 610 $aNeural statistical inference$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aKolossa$bAntonio$3VANV088627$0755869 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-32285-8$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$2VAN15 912 $fN 912 $aVAN0114548 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 2178 $e15EB 2178 20180206 996 $aComputational modeling of neural activities for statistical inference$91523236 997 $aUNICAMPANIA LEADER 04599nam 22006015 450 001 9910739407903321 005 20251117071308.0 010 $a1-4614-8400-6 024 7 $a10.1007/978-1-4614-8400-4 035 $a(CKB)3710000000024291 035 $a(EBL)1538887 035 $a(SSID)ssj0001048997 035 $a(PQKBManifestationID)11599466 035 $a(PQKBTitleCode)TC0001048997 035 $a(PQKBWorkID)11017443 035 $a(PQKB)10188817 035 $a(DE-He213)978-1-4614-8400-4 035 $a(MiAaPQ)EBC1538887 035 $a(PPN)176098739 035 $a(EXLCZ)993710000000024291 100 $a20131017d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAnimal Models of Speech and Language Disorders /$fedited by Santosh A. Helekar 205 $a1st ed. 2013. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013. 215 $a1 online resource (301 p.) 300 $aDescription based upon print version of record. 311 08$a1-4614-8399-9 320 $aIncludes bibliographical references and index. 327 $aPreface -- Section I ? Introduction to Speech and Language Disorders -- Chapter 1. Neurology of Speech and Language Disorders -- Chapter 2. Genetic Pathways Implicated in Speech and Language -- Section II ? Songbird Model of Vocal Learning -- Chapter 3. Time Scales of Vocal Learning in Songbirds -- Chapter 4. The Songbird Auditory System -- Chapter 5. Prospective: How the Zebra finch Genome Strengthens Brain-Behavior Connections in Songbird Models of Learned Vocalization -- Chapter 6. The Molecular Convergence of Birdsong and Speech -- Chapter 7. Stuttered Birdsong -- Section III ? Mammalian Models of Vocal Communication -- Chapter 8. The Repertoire of Communication Calls Emitted by Bats and the Ways the Calls are Processed in the Inferior Colliculus -- Chapter 9. Language Parallels in New World Primates -- Chapter 10. Apes, Language and the Brain.  . 330 $aAnimal Models of Speech and Language Disorders is arguably the first book that integrates several decades of research on the neuroscience and genetics of speech and language with behavioral, systems, cellular and molecular neurobiological studies on animal communication to create a synthesis of ideas with potential translational value in neurology, neurolinguistics and speech science.   Speech and language dysfunctions plague a large segment of today?s young and old alike because, besides being primary afflictions, they are also an integral part of the complex symptomatology of most of the common neurological and neurodevelopmental disorders, such as stroke, dementia, intellectual disability and autism. It is therefore essential that biomedical research be focused on understanding their neurobiological and genetic bases in order to have the chance of developing rational approaches to treating them. By weaving together findings from diverse disciplines in the comparative biology of vocal communication in songbirds, bats, New World monkeys and the great apes, with the applied and translational perspective in mind, this book attempts to create awareness among researchers and students about the strengths of the comparative and evolutionary approach to the scientific understanding of speech and language, and to addressing intractable clinical problems affecting higher brain functions.   Animal Models of Speech and Language Disorders will be highly instructive to researchers, clinicians, advanced speech pathology and neuroscience students, and all those who are interested in the current state of knowledge in the basic and applied aspects of speech and language. 606 $aNeurosciences 606 $aDevelopmental psychology 606 $aNeurology 606 $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006 606 $aDevelopmental Psychology$3https://scigraph.springernature.com/ontologies/product-market-codes/Y20010 606 $aNeurology$3https://scigraph.springernature.com/ontologies/product-market-codes/H36001 615 0$aNeurosciences. 615 0$aDevelopmental psychology. 615 0$aNeurology. 615 14$aNeurosciences. 615 24$aDevelopmental Psychology. 615 24$aNeurology. 676 $a616.855 702 $aHelekar$b Santosh A.$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910739407903321 996 $aAnimal Models of Speech and Language Disorders$93552825 997 $aUNINA