Chapter 1 Human Brainnetome Atlas and Its Potential Applications in Brain-Inspired Computing

Chapter 2 Workflows for Ultra-High Resolution 3D Models of the Human Brain on Massively Parallel Supercomputers

Chapter 3 Towards Large-Scale Fiber Orientation Models of the Brain – Automation and Parallelization of a Seeded Region Growing Segmentation of High-Resolution Brain Section Images

Chapter 4 Including Gap Junctions into Distributed Neuronal Network Simulations

Chapter 5 Designing Workflows for the Reproducible Analysis of Electrophysiological Data

Chapter 6 Finite-Difference Time-Domain Simulation for Three-Dimensional Polarized Light Imaging

Chapter 7 Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing

Chapter 9 Sophisticated LVQ Classification Models - Beyond Accuracy Optimization

Chapter 10 Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ

Chapter 11 A Cephalomorph Real-Time Computer

Chapter 12 Towards the Ultimate Display for Neuroscientific Data Analysis

Chapter 13 Sentiment Analysis and Affective Computing: Methods and Applications

Chapter 14 Deep Representations for Collaborative Robotics