jaelle/cmsaa-python

Python implementation of CMSAA

Computational Model of Spatial Auditory Attention

This is a Python implementation of a computational model of spatial auditory attention. Spatial attention has been the focus of research in cognitive models, though much of the work has focused on studying visual attention. This model uses the well-established framework of constraint satisfaction problems to model how auditory attention is allocated over space.

Table of Contents

• Basic model setup
• • Goal Map
• • Saliency Map
• • Priority Map
• • Attentional Bias
• Fitting model to the data
• 180 Degree Model
• • 180 Degree Data
• • 180 Degree Results
• 360 Degree Model
• • 360 Degree Data
• • 360 Degree Results