Pruned encoding models for visual cortex fMRI use as few as 1% of neural features per layer without losing accuracy, and different pretrained backbones predict the BOLD signal via distinct visual features.
Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
q-bio.NC 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex
Pruned encoding models for visual cortex fMRI use as few as 1% of neural features per layer without losing accuracy, and different pretrained backbones predict the BOLD signal via distinct visual features.