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 | 2015-09-26 13:40:55
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| Platform | ckan
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| Language | en
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| Version | (not set)
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