Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Tracking growing axons by particle filtering in 3d+t fluorescent two-photon microscopy images
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
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Axons are often guided to their targets in the developing nervous system by attractive or repulsive molecular concentration gradients. We propose a computational model for gradient sensing and directed movement of the growth cone mediated by filopodia. We show that relatively simple mechanisms are sufficient to generate realistic trajectories for both the short-term response of axons to steep gradients and the long-term response of axons to shallow gradients. The model makes testable predictions for axonal response to attractive and repulsive gradients of different concentrations and steepness, the size of the intracellular amplification of the gradient signal, and the differences in intracellular signaling required for repulsive versus attractive turning.