Brain-Inspired Computing Book by Lucio Grandinetti
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Brain-Inspired Computing

Brain-Inspired Computing


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About the Book

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.-


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Product Details
  • ISBN-13: 9783030824266
  • Publisher: Forschungszentrum Julich
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 159
  • Spine Width: 9 mm
  • Weight: 295 gr
  • ISBN-10: 3030824268
  • Publisher Date: 30 Sep 2021
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: 4th International Workshop, Braincomp 2019, Cetraro, Italy, July 15-19, 2019, Revised Selected Papers
  • Width: 156 mm


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