Brain-inspired computing : second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised selected papers / Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov (eds.).
BrainComp (Workshop) (2nd : 2015 : Cetraro, Italy); Amunts, Katrin, editor.; Grandinetti, Lucio, 1941- editor.; Lippert, Thomas, editor.; Petkov, Nicolai, 1956- editor.
2016
QA76.87
Available Online

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Title
Brain-inspired computing : second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised selected papers / Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov (eds.).
Meeting Name
BrainComp (Workshop) (2nd : 2015 : Cetraro, Italy)
ISBN
9783319508627 (electronic book)
3319508628 (electronic book)
9783319508610
DOI
https://doi.org/10.1007/978-3-319-50862-7
Published
Cham, Switzerland : Springer, 2016.
Language
English
Description
1 online resource (x, 195 pages) : illustrations.
Item Number
10.1007/978-3-319-50862-7 doi
Call Number
QA76.87
Dewey Decimal Classification
006.3/2
Summary
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. .
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed January 13, 2017).
Added Author
Amunts, Katrin, editor.
Grandinetti, Lucio, 1941- editor.
Lippert, Thomas, editor.
Petkov, Nicolai, 1956- editor.
Series
Lecture notes in computer science ; 10087
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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All Resources
Human Brainnetome Atlas and its Potential Applications in Brain-inspired Computing
Workflows for ultra-high resolution 3D models of the human brain on massively parallel supercomputers
Towards large-scale fiber orientation models of the brain automation and parallelization of a seeded region growing segmentation of high-resolution brain section images
Including gap junctions into distributed neuronal network simulations
Designing Workflows for the Reproducible Analysis of Electrophysiological Data
Finite-Difference Time-Domain Simulation for Three-dimensional Polarized Light Imaging
Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing
Bio-inspired filters for audio analysis
Sophisticated LVQ Classification Models
Beyond Accuracy Optimization
Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ
A Cephalomorph Real-time Computer
Towards the Ultimate Display for Neuroscientific Data Analysis
Sentiment Analysis and Affective Computing: methods and applications
Deep representations for collaborative robotics. .

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