THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks.

ABSTRACT: Over the past decade, deep neural network (DNN) models have received a lot of attention due to their near-human object classification performance and their excellent prediction of signals recorded from biological visual systems. To better understand the function of these networks and relate them to hypotheses about brain activity and behavior, researchers need to extract the activations to images across different DNN layers. The abundance of different DNN variants, however, can often be unwieldy, and the task of extracting DNN activations from different layers may be non-trivial and error-prone for someone without a strong computational background. Thus, researchers in the fields of cognitive science and computational neuroscience would benefit from a library or package that supports a use

SUBMITTER: Muttenthaler L 

PROVIDER: S-EPMC8494008 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature