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ORCID4th BrainComp 2019: Cetraro, Italy
- 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. Lecture Notes in Computer Science 12339, Springer 2021, ISBN 978-3-030-82426-6
Machine Learning and Deep Learning Approaches in Human Brain Mapping
- Sabrina Behuet, Sebastian Bludau, Olga Kedo, Christian Schiffer, Timo Dickscheid, Andrea Brandstetter, Philippe Massicotte, Mona Omidyeganeh, Alan C. Evans, Katrin Amunts:
A High-Resolution Model of the Human Entorhinal Cortex in the 'BigBrain' - Use Case for Machine Learning and 3D Analyses. 3-21 - Andrea Brandstetter, Najoua Bolakhrif, Christian Schiffer, Timo Dickscheid, Hartmut Mohlberg, Katrin Amunts:
Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain. 22-32
Brain Modelling and Simulation
- Alberto Antonietti, Claudia Casellato, Egidio D'Angelo, Alessandra Pedrocchi:
Computational Modelling of Cerebellar Magnetic Stimulation: The Effect of Washout. 35-46 - Sacha J. van Albada, Jari Pronold, Alexander van Meegen, Markus Diesmann:
Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex. 47-59
Exascale Compute and Data Infrastructures for Neuroscience and Applications
- Estela Suarez, Susanne Kunkel, Anne Küsters, Hans Ekkehard Plesser, Thomas Lippert:
Modular Supercomputing for Neuroscience. 63-80 - Sadaf R. Alam, Javier Bartolome, Sanzio Bassini, Michele Carpenè, Mirko Cestari, Frederic Combeau, Sergi Girona, Stefano Gorini, Giuseppe Fiameni, Björn Hagemeier, Andreas Herten, Nikoleta Kiapidou, Wouter Klijn, Dorian Krause, Jacques-Charles Lafoucriere, Cerlane Leong, Thomas Leibovici, Thomas Lippert, Colin McMurtrie, Pavel Mezentsev, Anne Nahm, Boris Orth, Dirk Pleiter, Thomas C. Schulthess, Benedikt von St. Vieth, Debora Testi, Gilles Wiber:
Fenix: Distributed e-Infrastructure Services for EBRAINS. 81-89 - Kai Benning, Miriam Menzel, Jan André Reuter, Markus Axer:
Independent Component Analysis for Noise and Artifact Removal in Three-Dimensional Polarized Light Imaging. 90-102
Exascale Artificial and Natural Neural Architectures
- Nicola Strisciuglio, Nicolai Petkov:
Brain-Inspired Algorithms for Processing of Visual Data. 105-115 - Souad Khellat-Kihel, Zhenan Sun, Massimo Tistarelli:
An Hybrid Attention-Based System for the Prediction of Facial Attributes. 116-127 - Michael Biehl:
The Statistical Physics of Learning Revisited: Typical Learning Curves in Model Scenarios. 128-142 - Chiara Zucco, Barbara Calabrese, Mario Cannataro:
Emotion Mining: from Unimodal to Multimodal Approaches. 143-158
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