Attention maps reveal stimulus-dependent retinal population codes
Date Issued
2026-05
Author(s) USM
DOI
10.3389/fncom.2026.1769478
Abstract
Introduction Understanding how deep learning models map neural population activity to stimuli requires both high predictive accuracy and interpretable internal mechanisms.Methods In this work, we employ the POYO framework, a scalable transformer architect
