Battaglia, Demian
Neural Connectomics Challenge
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
Nyckelord: Computer Science, Artificial Intelligence (incl. Robotics), Image Processing and Computer Vision
- Utgivare
- Battaglia, Demian
- Guyon, Isabelle
- Lemaire, Vincent
- Orlandi, Javier
- Ray, Bisakha
- Soriano, Jordi
- Utgivare
- Springer
- Utgivningsår
- 2017
- Språk
- en
- Utgåva
- 1
- Serie
- The Springer Series on Challenges in Machine Learning
- Sidantal
- 10 sidor
- Kategori
- Datateknik, Datakommunikation
- Format
- E-bok
- eISBN (PDF)
- 9783319530703
- Tryckt ISBN
- 978-3-319-53069-7