Neural Connectomics Challenge

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Battaglia, Demian (Επιμελητής έκδοσης), Guyon, Isabelle (Επιμελητής έκδοσης), Lemaire, Vincent (Επιμελητής έκδοσης), Orlandi, Javier (Επιμελητής έκδοσης), Ray, Bisakha (Επιμελητής έκδοσης), Soriano, Jordi (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: The Springer Series on Challenges in Machine Learning,
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.