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Neural Connectomics Challenge

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Cover of 'Neural Connectomics Challenge'

Table of Contents

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    Book Overview
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    Chapter 1 First Connectomics Challenge: From Imaging to Connectivity
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    Chapter 2 Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging
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    Chapter 3 Supervised Neural Network Structure Recovery
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    Chapter 4 Signal Correlation Prediction Using Convolutional Neural Networks
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    Chapter 5 Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization
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    Chapter 6 Neural Connectivity Reconstruction from Calcium Imaging Signal Using Random Forest with Topological Features
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    Chapter 7 Efficient Combination of Pairwise Feature Networks
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    Chapter 8 Predicting Spiking Activities in DLS Neurons with Linear-Nonlinear-Poisson Model
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    Chapter 9 SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data
Attention for Chapter 8: Predicting Spiking Activities in DLS Neurons with Linear-Nonlinear-Poisson Model
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