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Battaglia, Demian

Neural Connectomics Challenge

Battaglia, Demian - Neural Connectomics Challenge, ebook

103,00€

Ebook, PDF with Adobe DRM
ISBN: 9783319530703
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Table of contents

1. First Connectomics Challenge: From Imaging to Connectivity
Javier Orlandi, Bisakha Ray, Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Mehreen Saeed, Alexander Statnikov, Olav Stetter, Jordi Soriano

2. Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging
Antonio Sutera, Arnaud Joly, Vincent Franois-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts

3. Supervised Neural Network Structure Recovery
Ildefons Magrans de Abril, Ann Nowé

4. Signal Correlation Prediction Using Convolutional Neural Networks
Lukasz Romaszko

5. Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization
Chenyang Tao, Wei Lin, Jianfeng Feng

6. Neural Connectivity Reconstruction from Calcium Imaging Signal Using Random Forest with Topological Features
Wojciech M. Czarnecki, Rafal Jozefowicz

7. Efficient Combination of Pairwise Feature Networks
Pau Bellot, Patrick E. Meyer

8. Predicting Spiking Activities in DLS Neurons with Linear-Nonlinear-Poisson Model
Sisi Ma, David J. Barker

9. SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data
Dmitry Laptev, Joachim M. Buhmann

Keywords: Computer Science, Artificial Intelligence (incl. Robotics), Image Processing and Computer Vision

Editor
 
 
 
 
 
Publisher
Springer
Publication year
2017
Language
en
Edition
1
Series
The Springer Series on Challenges in Machine Learning
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9783319530703
Printed ISBN
978-3-319-53069-7

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