Prediction accuracy of compressed encoding models on cortical maps for subjects 2 and 3 in the PURR dataset.

Compared to the uncompressed (UC) model, the structurally compressed (SC) model better estimates fMRI responses in ProS, DVT, and the lateral part of V1. The deep-compressed (DC) model is more accurate in the central part of V1, V2, V3, and the lateral part of V4. The receptive field-compressed (RC) model better estimates the lateral part of V1, V2, V3, V4, as well as the TPOJ and FST areas. (PDF)

Publication Details

Journal
Figshare
Published
2025-02-19
DOI
https://doi.org/10.1371/journal.pcbi.1012822.s001
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
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article

Prediction accuracy of compressed encoding models on cortical maps for subjects 2 and 3 in the PURR dataset.

Figshare
Genetic diversity and population structure
article

Prediction accuracy of compressed encoding models on cortical maps for subjects 2 and 3 in the PURR dataset.

article en

Abstract

Compared to the uncompressed (UC) model, the structurally compressed (SC) model better estimates fMRI responses in ProS, DVT, and the lateral part of V1. The deep-compressed (DC) model is more accurate in the central part of V1, V2, V3, and the lateral part of V4. The receptive field-compressed (RC) model better estimates the lateral part of V1, V2, V3, V4, as well as the TPOJ and FST areas. (PDF)

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Genetic diversity and population structure
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Prediction accuracy of compressed encoding models on cortical maps for subjects 2 and 3 in the PURR dataset. · Figshare (2025) | TGRS Research Map | TGRS