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We study the 3D neurite tracing problem in different imaging modalities. We consider that the examined images do not provide sufficient contrast between neurite and background, and the signal-to-noise ratio varies spatially. We first split the stack into box sub-volumes, and inside each box we evolve simultaneously a number of different open-curve snakes. The curves deform based on three criteria:...
We model neuron morphology with a hidden Conditional Random Field variant, a hidden Neural Network Random Field, for part-based classification. We aim at identifying the diverse morphologies of individual motor neurons in the Drosophila larvae, and understanding underlying principles of synaptic connectivity in a motor circuit. The motivation of our work is the bottom-up reconstruction of the Drosophila...
Type-specific dendritic arborization patterns dictate synaptic connectivity and are fundamental determinants of neuronal function. We exploit the morphological stereotypy and relative simplicity of the Drosophila nervous system to model the diverse neuronal morphologies of individual motor neurons (MNs) and understand underlying principles of synaptic connectivity in a motor circuit. In our analysis,...
Type-specific dendritic arborization patterns dictate synaptic connectivity and are fundamental determinants of neuronal function. We exploit the morphological stereotypy and relative simplicity of the Drosophila nervous system to model the diverse neuronal morphologies of individual motor neurons (MNs) and understand underlying principles of synaptic connectivity in a motor circuit. Our computational...
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