國立虎尾科技大學 |

Brain-Inspired Computing = 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Brain-Inspired Computing/ edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov.
其他題名:	4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers /
其他作者:	Amunts, Katrin.
面頁冊數:	VIII, 159 p. 48 illus., 32 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	User interfaces (Computer systems). -
電子資源:	https://doi.org/10.1007/978-3-030-82427-3
ISBN:	9783030824273

Brain-Inspired Computing = 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers /
Brain-Inspired Computing4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers /[electronic resource] :edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov. - 1st ed. 2021. - VIII, 159 p. 48 illus., 32 illus. in color.online resource. - Theoretical Computer Science and General Issues ;12339. - Theoretical Computer Science and General Issues ;9163.

Machine 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 -- .

Open Access

This 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. .

ISBN: 9783030824273

Standard No.: 10.1007/978-3-030-82427-3doiSubjects--Topical Terms:

1253526
User interfaces (Computer systems).

LC Class. No.: QA76.9.U83

Dewey Class. No.: 005.437

Brain-Inspired Computing = 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers /
LDR:03250nam a22004575i 4500 001 1047736
003 DE-He213
005 20210826183619.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030824273 $9 978-3-030-82427-3
024 7 $a 10.1007/978-3-030-82427-3 $2 doi
035 $a 978-3-030-82427-3
050 4 $a QA76.9.U83
050 4 $a QA76.9.H85
072 7 $a UYZG $2 bicssc
072 7 $a COM070000 $2 bisacsh
072 7 $a UYZG $2 thema
082 0 4 $a 005.437 $2 23
082 0 4 $a 4.019 $2 23
245 1 0 $a Brain-Inspired Computing $h [electronic resource] : $b 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers / $c edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a VIII, 159 p. 48 illus., 32 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Theoretical Computer Science and General Issues ; $v 12339
505 0 $a Machine 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 $a Open Access
520 $a This 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 $a User interfaces (Computer systems). $3 1253526
650 0 $a Artificial intelligence. $3 559380
650 0 $a Optical data processing. $3 639187
650 0 $a Computer organization. $3 596298
650 1 4 $a User Interfaces and Human Computer Interaction. $3 669793
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
650 2 4 $a Computer Systems Organization and Communication Networks. $3 669309
700 1 $a Amunts, Katrin. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1116288
700 1 $a Grandinetti, Lucio. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1067388
700 1 $a Lippert, Thomas. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1269975
700 1 $a Petkov, Nicolai. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 793317
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030824266
776 0 8 $i Printed edition: $z 9783030824280
830 0 $a Theoretical Computer Science and General Issues ; $v 9163 $3 1253524
856 4 0 $u https://doi.org/10.1007/978-3-030-82427-3
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
912 $a ZDB-2-SOB
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)