Search Results for author:
Found 2 papers, 1 papers with code
Saliency Suppressed, Semantics Surfaced: Visual Transformations in Neural Networks and the Brain
Deep learning algorithms lack human-interpretable accounts of how they transform raw visual input into a robust semantic understanding, which impedes comparisons between different architectures, training objectives, and the human brain.
A Biologically Plausible Model for Rapid Natural Scene Identification
From these neural measurements and the contrast statistics of the natural image stimuli, we derive an across subject Weibull response model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
