001431103 000__ 04174cam\a2200601\i\4500
001431103 001__ 1431103
001431103 003__ OCoLC
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001431103 020__ $$a9783030824273$$q(electronic bk.)
001431103 020__ $$a3030824276$$q(electronic bk.)
001431103 020__ $$z9783030824266$$q(print)
001431103 0247_ $$a10.1007/978-3-030-82427-3$$2doi
001431103 035__ $$aSP(OCoLC)1262140800
001431103 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCO$$dYDX$$dOCLCF$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dEBLCP$$dOCLCQ
001431103 049__ $$aISEA
001431103 050_4 $$aQA76.87$$b.B73 2021
001431103 08204 $$a006.3/2$$223
001431103 1112_ $$aBrainComp (Workshop)$$n(4th :$$d2019 :$$cCetraro, Italy)
001431103 24510 $$aBrain-inspired computing :$$b4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15-19, 2019, Revised selected papers /$$cKatrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov (eds.).
001431103 2463_ $$aBrainComp 2019
001431103 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021]
001431103 300__ $$a1 online resource (viii, 159 pages) :$$billustrations (some color)
001431103 336__ $$atext$$btxt$$2rdacontent
001431103 337__ $$acomputer$$bc$$2rdamedia
001431103 338__ $$aonline resource$$bcr$$2rdacarrier
001431103 4901_ $$aLecture notes in computer science ;$$v12339
001431103 4901_ $$aLNCS sublibrary, SL 1, Theoretical computer science and general issues
001431103 500__ $$aIncludes author index.
001431103 5050_ $$aMachine Learning and Deep learning approaches in human brain mapping -- A high-resolution model of the human entorhinal cortex in the 'BigBrain' : use case for machine learning and 3D analyses -- Deep learning-supported cytoarchitectonic mapping of the human lateral geniculate body in the BigBrain -- Brain modelling and simulation -- Computational modelling of cerebellar magnetic stimulation: the effect of washout? -- Usage and scaling of an open-source spiking multi-area model of the monkey cortex -- Exascale compute and data infrastructures for neuroscience and applications -- Modular supercomputing for neuroscience -- Fenix: Distributed e-Infrastructure Services for EBRAINS -- Independent component analysis for noise and artifact removal in three-dimensional Polarized Light Imaging -- Exascale artificial and natural neural architectures -- Brain-inspired algorithms for processing of visual data -- An hybrid attention-based system for the prediction of facial attributes -- The statistical physics of learning revisited: Typical learning curves in model scenarios -- Emotion mining: from unimodal to multimodal approaches.
001431103 5060_ $$aOpen access.$$5GW5XE
001431103 520__ $$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.
001431103 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 29, 2021).
001431103 650_0 $$aNeural computers$$vCongresses.
001431103 650_6 $$aOrdinateurs neuronaux$$vCongrès.
001431103 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001431103 655_7 $$aConference papers and proceedings.$$2lcgft
001431103 655_7 $$aActes de congrès.$$2rvmgf
001431103 655_0 $$aElectronic books.
001431103 7001_ $$aAmunts, Katrin,$$eeditor$$0(orcid)0000-0001-5828-0867$$1https://orcid.org/0000-0001-5828-0867
001431103 7001_ $$aGrandinetti, Lucio,$$d1941-$$eeditor.
001431103 7001_ $$aLippert, Thomas,$$eeditor$$0(orcid)0000-0002-9407-6043$$1https://orcid.org/0000-0002-9407-6043
001431103 7001_ $$aPetkov, Nicolai,$$d1956-$$eeditor$$1https://orcid.org/0000-0003-2163-8647
001431103 830_0 $$aLecture notes in computer science ;$$v12339.
001431103 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues.
001431103 852__ $$bebk
001431103 85640 $$3Springer Nature$$uhttps://link.springer.com/10.1007/978-3-030-82427-3$$zOnline Access$$91397441.2
001431103 909CO $$ooai:library.usi.edu:1431103$$pGLOBAL_SET
001431103 980__ $$aBIB
001431103 980__ $$aEBOOK
001431103 982__ $$aEbook
001431103 983__ $$aOnline
001431103 994__ $$a92$$bISE