Exploring fMRI RDMs: enhancing model robustness through neurobiological data

Artificial neural networks (ANNs) are sensitive to perturbations and adversarial attacks. One hypothesized solution to adversarial robustness is to align manifolds in the embedded space of neural networks with biologically grounded manifolds. Recent state-of-the-art works that emphasize learning rob...

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Bibliographic Details
Main Authors: William Pickard, Kelsey Sikes, Huma Jamil, Nicholas Chaffee, Nathaniel Blanchard, Michael Kirby, Chris Peterson
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Computer Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2023.1275026/full