Introducing the Prototypical Stimulus Characteristics Toolbox: Protosc.

ABSTRACT: Many studies use different categories of images to define their conditions. Since any difference between these categories is a valid candidate to explain category-related behavioral differences, knowledge about the objective image differences between categories is crucial for the interpretation of the behaviors. However, natural images vary in many image features and not every feature is equally important in describing the differences between the categories. Here, we provide a methodological approach to find as many of the image features as possible, using machine learning performance as a tool, that have predictive value over the category the images belong to. In other words, we describe a means to find the features of a group of images by which the categories can be objectively and quant

SUBMITTER: Stuit SM 

PROVIDER: S-EPMC9579116 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature