LEADER 04435nam 22007815 450 001 9910491852803321 005 20230912170927.0 010 $a3-030-82427-6 024 7 $a10.1007/978-3-030-82427-3 035 $a(CKB)5470000000830884 035 $aEBL6681091 035 $a(AU-PeEL)EBL6681091 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/71640 035 $a(DE-He213)978-3-030-82427-3 035 $a(MiAaPQ)EBC6681091 035 $a(PPN)257358994 035 $a(EXLCZ)995470000000830884 100 $a20210720d2021 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBrain-Inspired Computing $e4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15?19, 2019, Revised Selected Papers /$fedited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (163 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12339 300 $aDescription based upon print version of record. 311 $a3-030-82426-8 327 $aMachine Learning and Deep learning approaches in human brain mapping -- A high-resolution model of the human entorhinal cortex in the ?BigBrain?? use case for machine learning and 3D analyses -- Deep learning-supported cytoarchitectonic mapping of the human lateral geniculate body in the BigBrain -- Brain modelling and simulation -- Computational modelling of cerebellar magnetic stimulation: the effect of washout? -- Usage and scaling of an open-source spiking multi-area model of the monkey cortex -- Exascale compute and data infrastructures for neuroscience and applications -- Modular supercomputing for neuroscience -- Fenix: Distributed e-Infrastructure Services for EBRAINS -- Independent component analysis for noise and artifact removal in three-dimensional Polarized Light Imaging -- Exascale artificial and natural neural architectures -- Brain-inspired algorithms for processing of visual data -- An hybrid attention-based system for the prediction of facial attributes -- The statistical physics of learning revisited: Typical learning curves in model scenarios -- Emotion mining: from unimodal to multimodal approaches -- . 330 $aThis open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures. . 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12339 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aArtificial intelligence 606 $aImage processing?Digital techniques 606 $aComputer vision 606 $aComputer engineering 606 $aComputer networks 606 $aUser Interfaces and Human Computer Interaction 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer Engineering and Networks 615 0$aUser interfaces (Computer systems). 615 0$aHuman-computer interaction. 615 0$aArtificial intelligence. 615 0$aImage processing?Digital techniques. 615 0$aComputer vision. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aUser Interfaces and Human Computer Interaction. 615 24$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer Engineering and Networks. 676 $a005.437 676 $a004.019 700 $aAmunts$b Katrin$01134289 701 $aGrandinetti$b Lucio$017939 701 $aLippert$b Thomas$01236813 701 $aPetkov$b Nicolai$01236814 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910491852803321 996 $aBrain-Inspired Computing$92871560 997 $aUNINA