A-Developmental-Approach-to-Predicting-Neuronal-Connectivity-from-Small-Biological-Datasets-A-Gradient-Based-Neuron-Growth-Model
Dataset Profile
Odm ID | f325d7c9-df2f-4c05-9f88-735ad222cd27
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Title | A-Developmental-Approach-to-Predicting-Neuronal-Connectivity-from-Small-Biological-Datasets-A-Gradient-Based-Neuron-Growth-Model
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Notes | Model-parameters-define-a-two-dimensional-CNS-growth-environment-with-three-gradient-cues-and-the-specific-responsiveness-of-the-axons-of-each-neuron-type-to-these-cues-The-model-is-described-by-a-nonlinear-system-of-three-difference-equations-it-includes-a-random-variable-and-takes-specific-neuron-characteristics-into-account-Anatomical-measurements-are-first-used-to-position-cell-bodies-in-rows-and-define-axon-origins
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Metadata Updated | 2015-10-11 17:49:39
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Platform | ckan
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Language | en
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Version | (not set)
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