Yes
Stony Brook University
NITRC
3-D Connective Field Modeling Toolbox
Yes
A framework for both fitting and describing connectivity patterns between regions that is a simple extension from the current population receptive field models in the visual neuroscience literature. This provides a description of the specific nature of connectivity from one region to another. The connectivity from each voxel in a designated seed region to a mapping region is modeled as a 3-dimensional Gaussian, providing location parameters and spread parameters. This allows the direct description of the relative mapping from one region to another.
2019-12-22
3-D Connective Field Modeling Toolbox V1.1
2019-3-04
3-D Connective Field Modeling Toolbox V1.0.1
2019-2-14
3-D Connective Field Modeling Toolbox V1.0
3-D Connective Field Modeling Toolbox
Clinical Neuroinformatics, MR, Computational Neuroscience
http://www.nitrc.org/projects/r2r_prf/