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245 1 0 _aBrain-Inspired Computing
_h[electronic resource] :
_b4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers /
_cedited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aVIII, 159 p. 48 illus., 32 illus. in color.
_bonline resource.
336 _atext
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337 _acomputer
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_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v12339
505 0 _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 -- .
506 0 _aOpen Access
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. .
650 0 _aUser interfaces (Computer systems).
650 0 _aHuman-computer interaction.
650 0 _aArtificial intelligence.
650 0 _aImage processing
_xDigital techniques.
650 0 _aComputer vision.
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 1 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aComputer Engineering and Networks.
700 1 _aAmunts, Katrin.
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700 1 _aGrandinetti, Lucio.
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700 1 _aLippert, Thomas.
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700 1 _aPetkov, Nicolai.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030824280
830 0 _aTheoretical Computer Science and General Issues,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-82427-3
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