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This is an source controlled version of Jon Marstrander's directional divergence matlab code and other useful matlab utilities for managing AFNI data.

This project is dedicated to using various linear and nonlinear machine learning algorithms to create a model of cortical thickness as a function of various anatomic and retinotopic properties in early visual cortex.

This project is designed to convert image files (binary bitmap images to begin with) to surface space through population receptive field estimates from Noah Benson's retinotopic atlas (https://github.com/noahbenson/neuropythy).

Converts Camera Image to Cost Map