A Developmental Approach to Predicting Neuronal Connectivity from Small Biological Datasets: A Gradient-Based Neuron Growth Model

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.

Creator(s) Roman Borisyuk
Funder Biotechnology and Biological Sciences Research Council
Publisher Figshare
DOI 10.1371/journal.pone.0089461.s001; 10.1371/journal.pone.0089461.s002; 10.1371/journal.pone.0089461.s003; 10.1371/journal.pone.0089461.s004; 10.1371/journal.pone.0089461.s005
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