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.
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.