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Brain-Inspired Computing [[electronic resource] ] : 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers / / edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Brain-Inspired Computing [[electronic resource] ] : 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers / / edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Autore Amunts Katrin
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (163 p.)
Disciplina 005.437
004.019
Altri autori (Persone) GrandinettiLucio
LippertThomas
PetkovNicolai
Collana Theoretical Computer Science and General Issues
Soggetto topico User interfaces (Computer systems)
Human-computer interaction
Artificial intelligence
Image processing—Digital techniques
Computer vision
Computer engineering
Computer networks
User Interfaces and Human Computer Interaction
Artificial Intelligence
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Engineering and Networks
ISBN 3-030-82427-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 -- .
Record Nr. UNISA-996464497503316
Amunts Katrin  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Brain-Inspired Computing : 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers / / edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Brain-Inspired Computing : 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers / / edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Autore Amunts Katrin
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (163 p.)
Disciplina 005.437
004.019
Altri autori (Persone) GrandinettiLucio
LippertThomas
PetkovNicolai
Collana Theoretical Computer Science and General Issues
Soggetto topico User interfaces (Computer systems)
Human-computer interaction
Artificial intelligence
Image processing—Digital techniques
Computer vision
Computer engineering
Computer networks
User Interfaces and Human Computer Interaction
Artificial Intelligence
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Engineering and Networks
ISBN 3-030-82427-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 -- .
Record Nr. UNINA-9910491852803321
Amunts Katrin  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Brain-Inspired Computing [[electronic resource] ] : Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers / / edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Brain-Inspired Computing [[electronic resource] ] : Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers / / edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (X, 195 p. 47 illus.)
Disciplina 006.32
Collana Theoretical Computer Science and General Issues
Soggetto topico User interfaces (Computer systems)
Human-computer interaction
Computer vision
Artificial intelligence
Logic design
Operating systems (Computers)
Microprocessors
Computer architecture
User Interfaces and Human Computer Interaction
Computer Vision
Artificial Intelligence
Logic Design
Operating Systems
Processor Architectures
ISBN 3-319-50862-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Human Brainnetome Atlas and its Potential Applications in Brain-inspired Computing -- Workflows for ultra-high resolution 3D models of the human brain on massively parallel supercomputers -- Towards large-scale fiber orientation models of the brain automation and parallelization of a seeded region growing segmentation of high-resolution brain section images -- Including gap junctions into distributed neuronal network simulations -- Designing Workflows for the Reproducible Analysis of Electrophysiological Data -- Finite-Difference Time-Domain Simulation for Three-dimensional Polarized Light Imaging -- Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing -- Bio-inspired filters for audio analysis -- Sophisticated LVQ Classification Models - Beyond Accuracy Optimization -- Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ -- A Cephalomorph Real-time Computer -- Towards the Ultimate Display for Neuroscientific Data Analysis -- Sentiment Analysis and Affective Computing: methods and applications -- Deep representations for collaborative robotics. .
Record Nr. UNISA-996465754003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Brain-Inspired Computing : Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers / / edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Brain-Inspired Computing : Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers / / edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (X, 195 p. 47 illus.)
Disciplina 006.32
Collana Theoretical Computer Science and General Issues
Soggetto topico User interfaces (Computer systems)
Human-computer interaction
Computer vision
Artificial intelligence
Logic design
Operating systems (Computers)
Microprocessors
Computer architecture
User Interfaces and Human Computer Interaction
Computer Vision
Artificial Intelligence
Logic Design
Operating Systems
Processor Architectures
ISBN 3-319-50862-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Human Brainnetome Atlas and its Potential Applications in Brain-inspired Computing -- Workflows for ultra-high resolution 3D models of the human brain on massively parallel supercomputers -- Towards large-scale fiber orientation models of the brain automation and parallelization of a seeded region growing segmentation of high-resolution brain section images -- Including gap junctions into distributed neuronal network simulations -- Designing Workflows for the Reproducible Analysis of Electrophysiological Data -- Finite-Difference Time-Domain Simulation for Three-dimensional Polarized Light Imaging -- Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing -- Bio-inspired filters for audio analysis -- Sophisticated LVQ Classification Models - Beyond Accuracy Optimization -- Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ -- A Cephalomorph Real-time Computer -- Towards the Ultimate Display for Neuroscientific Data Analysis -- Sentiment Analysis and Affective Computing: methods and applications -- Deep representations for collaborative robotics. .
Record Nr. UNINA-9910484407103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Brain-Inspired Computing [[electronic resource] ] : International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers / / edited by Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Brain-Inspired Computing [[electronic resource] ] : International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers / / edited by Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (X, 213 p. 83 illus.)
Disciplina 004
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Computer simulation
Computer vision
Theory of Computation
Artificial Intelligence
Computer Modelling
Computer Vision
ISBN 3-319-12084-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Brain Structure and Function - A Neuroscience Perspective -- Computational Models and Brain-inspired Computing -- HPC and Visualization for Human Brain Simulations.
Record Nr. UNISA-996213649203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Brain-Inspired Computing : International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers / / edited by Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Brain-Inspired Computing : International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers / / edited by Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (X, 213 p. 83 illus.)
Disciplina 004
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Computer simulation
Computer vision
Theory of Computation
Artificial Intelligence
Computer Modelling
Computer Vision
ISBN 3-319-12084-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Brain Structure and Function - A Neuroscience Perspective -- Computational Models and Brain-inspired Computing -- HPC and Visualization for Human Brain Simulations.
Record Nr. UNINA-9910483322303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui