Neural Connectomics Challenge /
| Autor Corporativo: | |
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| Otros Autores: | , , , , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edición: | 1st ed. 2017. |
| Colección: | The Springer Series on Challenges in Machine Learning,
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| Materias: |
Tabla de Contenidos:
- 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.