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Found 4 papers, 1 papers with code
An Error Detection and Correction Framework for Connectomics
Both tasks take as input the raw image and a binary mask representing a candidate object.
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
For the past decade, convolutional networks have been used for 3D reconstruction of neurons from electron microscopic (EM) brain images.
Deep Learning Improves Template Matching by Normalized Cross Correlation
Template matching by normalized cross correlation (NCC) is widely used for finding image correspondences.
A correlation game for unsupervised learning yields computational interpretations of Hebbian excitation, anti-Hebbian inhibition, and synapse elimination
To provide computational interpretations of these aspects of synaptic plasticity, we formulate unsupervised learning as a zero-sum game between Hebbian excitation and anti-Hebbian inhibition in a neural network model.
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