Cantitate/Preț
Produs
Total produse
Vezi coșul
Brain-Inspired Computing: 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers de Katrin Amunts

Brain-Inspired Computing: 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers: Lecture Notes in Computer Science, cartea 12339

Editat de Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
en Limba Engleză Paperback – 21 iul 2021
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.
 
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 29169 lei  43-57 zile
  Springer International Publishing – 21 iul 2021 29169 lei  43-57 zile
  Springer International Publishing – 11 dec 2016 32149 lei  43-57 zile

Din seria Lecture Notes in Computer Science

Preț: 29169 lei

Preț vechi: 36461 lei
-20% Nou

Puncte Express: 438
Preț estimativ în valută:
5582€ • 5799$ • 4637£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030824266
ISBN-10: 3030824268
Pagini: 200
Ilustrații: VIII, 159 p. 48 illus., 32 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Cham, Switzerland

Cuprins

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.- 

Textul de pe ultima copertă


Caracteristici

Includes supplementary material: sn.pub/extras