Brain Inspired Computing Second International Workshop BrainComp 2015 Cetraro Italy July 6 10 2015 Revised Selected Papers 1st Edition Katrin Amunts,Lucio Grandinetti,Thomas Lippert,Nicolai Petkov ISBN 331950861X 978-3319508610

Brain-Inspired Computing: Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers 1st Edition by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov – Ebook PDF Instant Download/Delivery: 331950861X, 978-3319508610

Full download Brain-Inspired Computing: Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers 1st Edition after payment

 

 

Product details:

ISBN 10: 331950861X 

ISBN 13: 978-3319508610

Author: Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov

This book constitutes revised selected papers from the Second International Workshop on Brain-Inspired Computing, BrainComp 2015, held in Cetraro, Italy, in July 2015.
The 14 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with brain structure and function; computational models and brain-inspired computing methods with practical applications; high performance computing; and visualization for brain simulations.

Table of contents:

1. Machine Learning and Deep Learning Approaches in Human Brain Mapping

1.1. A High-Resolution Model of the Human Entorhinal Cortex in the ‘BigBrain’ – Use Case for Machine Learning and 3D Analyses

1.2. Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain

2. Brain Modelling and Simulation
2.1. Computational Modelling of Cerebellar Magnetic Stimulation: The Effect of Washout
2.2. Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex

3. Exascale Compute and Data Infrastructures for Neuroscience and Applications
3.1. Modular Supercomputing for Neuroscience
3.2. Fenix: Distributed e-Infrastructure Services for EBRAINS
3.3. Independent Component Analysis for Noise and Artifact Removal in Three-Dimensional Polarized Light Imaging

4. Exascale Artificial and Natural Neural Architectures
4.1. Brain-Inspired Algorithms for Processing of Visual Data
4.2. A Hybrid Attention-Based System for the Prediction of Facial Attributes
4.3. The Statistical Physics of Learning Revisited: Typical Learning Curves in Model Scenarios
4.4. Emotion Mining: from Unimodal to Multimodal Approaches

People also search for:

brain inspired computing second
    
brain inspired computing
    
brain inspired computing needs a master plan
    
brain inspired computing rutgers
    
brain inspired computing rutgers reddit

Tags: Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov, Brain Inspired, Computing Second International, Workshop BrainComp