Neural Connectomics Challenge

• Corporate Author: SpringerLink (Online service)
• Other Authors: Battaglia, Demian (Editor), Guyon, Isabelle (Editor), Lemaire, Vincent (Editor), Orlandi, Javier (Editor), Ray, Bisakha (Editor), Soriano, Jordi (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: The Springer Series on Challenges in Machine Learning,
• Subjects: Computer science.; Artificial intelligence.; Image processing.; Computer Science.; Artificial Intelligence (incl. Robotics).; Image Processing and Computer Vision.

This book illustrates the thrust of the scientific community to use machine learning concepts for tackling a complex problem: given time series of neuronal spontaneous activity, which is the underlying connectivity between the neurons in the network? The contributing authors also develop tools for t...

Table of Contents:

• First Connectomics Challenge: From Imaging to Connectivity
• Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging
• Supervised Neural Network Structure Recovery
• Signal Correlation Prediction Using Convolutional Neural Networks
• Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization
• Neural Connectivity Reconstruction from Calcium Imaging Signal using Random Forest with Topological Features
• Efficient Combination of Pairwise Feature Networks
• Predicting Spiking Activities in DLS Neurons with Linear-Nonlinear-Poisson Model
• SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data
• Supplemental Information.