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Found 5 papers, 2 papers with code
What can 5.17 billion regression fits tell us about artificial models of the human visual system?
Rapid simultaneous advances in machine vision and cognitive neuroimaging present an unparalleled opportunity to assess the current state of artificial models of the human visual system.
Unsupervised Representation Learning Facilitates Human-like Spatial Reasoning
When judging the sameness of three-dimensional (3D) objects that differ by a rotation, response time typically increases with the angle of rotation.
Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex
Using our benchmark as an atlas, we offer preliminary answers to overarching questions about levels of analysis (e. g. do models that better predict the representations of individual neurons also predict representational similarity across neural populations?
On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation
Critically, we find that random cropping can be substituted by cortical magnification, and saccade-like sampling of the image could also assist the representation learning.
Testing Relational Understanding in Text-Guided Image Generation
Relations are basic building blocks of human cognition.
