Reconstruction Evaluations Across Varying Amounts of Training Data: Mindeye2

Here, we present a further analysis of how model performance scales with training data. All of the results presented in Figures 6, 7, and 8 are calculated on only subject 1.

\ Figure 6: Low-level metric performance (y-axis) plotted against the number of fMRI scanning sessions used in the training data (x-axis) for subject 1. All values are normalized to the same y-axis. The bolded line represents the average performance across all metrics.

\ Figure 7: High-level metric performance (y-axis) plotted against the number of fMRI scanning sessions used in the training data (x-axis) for subject 1. All values are normalized to the same y-axis. The bolded line represents the average performance across all metrics. SwAV and EffNetB scores are inverted in this plot so that higher is better for all metrics.

:::info This paper is available on arxiv under CC BY 4.0 DEED license.

:::

:::info Authors:

(1) Paul S. Scotti, Stability AI and Medical AI Research Center (MedARC);

(2) Mihir Tripathy, Medical AI Research Center (MedARC) and a Core contribution;

(3) Cesar Kadir Torrico Villanueva, Medical AI Research Center (MedARC) and a Core contribution;

(4) Reese Kneeland, University of Minnesota and a Core contribution;

(5) Tong Chen, The University of Sydney and Medical AI Research Center (MedARC);

(6) Ashutosh Narang, Medical AI Research Center (MedARC);

(7) Charan Santhirasegaran, Medical AI Research Center (MedARC);

(8) Jonathan Xu, University of Waterloo and Medical AI Research Center (MedARC);

(9) Thomas Naselaris, University of Minnesota;

(10) Kenneth A. Norman, Princeton Neuroscience Institute;

(11) Tanishq Mathew Abraham, Stability AI and Medical AI Research Center (MedARC).

:::

This content originally appeared on HackerNoon and was authored by Image Recognition

Print Share Comment Cite Upload Translate Updates

APA

Image Recognition | Sciencx (2025-04-15T02:05:32+00:00) Reconstruction Evaluations Across Varying Amounts of Training Data: Mindeye2. Retrieved from https://www.scien.cx/2025/04/15/reconstruction-evaluations-across-varying-amounts-of-training-data-mindeye2/

MLA

" » Reconstruction Evaluations Across Varying Amounts of Training Data: Mindeye2." Image Recognition | Sciencx - Tuesday April 15, 2025, https://www.scien.cx/2025/04/15/reconstruction-evaluations-across-varying-amounts-of-training-data-mindeye2/

HARVARD

Image Recognition | Sciencx Tuesday April 15, 2025 » Reconstruction Evaluations Across Varying Amounts of Training Data: Mindeye2., viewed ,<https://www.scien.cx/2025/04/15/reconstruction-evaluations-across-varying-amounts-of-training-data-mindeye2/>

VANCOUVER

Image Recognition | Sciencx - » Reconstruction Evaluations Across Varying Amounts of Training Data: Mindeye2. [Internet]. [Accessed ]. Available from: https://www.scien.cx/2025/04/15/reconstruction-evaluations-across-varying-amounts-of-training-data-mindeye2/

CHICAGO

" » Reconstruction Evaluations Across Varying Amounts of Training Data: Mindeye2." Image Recognition | Sciencx - Accessed . https://www.scien.cx/2025/04/15/reconstruction-evaluations-across-varying-amounts-of-training-data-mindeye2/

IEEE

" » Reconstruction Evaluations Across Varying Amounts of Training Data: Mindeye2." Image Recognition | Sciencx [Online]. Available: https://www.scien.cx/2025/04/15/reconstruction-evaluations-across-varying-amounts-of-training-data-mindeye2/. [Accessed: ]

rf:citation

» Reconstruction Evaluations Across Varying Amounts of Training Data: Mindeye2 | Image Recognition | Sciencx | https://www.scien.cx/2025/04/15/reconstruction-evaluations-across-varying-amounts-of-training-data-mindeye2/ |

Please log in to upload a file.

There are no updates yet.
Click the Upload button above to add an update.

You must be logged in to translate posts. Please log in or register.

Table of Links

A.4 Reconstruction Evaluations Across Varying Amounts of Training Data

Related Posts