Noninvasive precision modulation of high-level neural population activity via natural vision perturbations
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Abstract (arXiv)
Precise control of neural activity -- modulating target neurons deep in the brain while leaving nearby neurons unaffected -- is an outstanding challenge in neuroscience, generally approached using invasive techniques. This study investigates the possibility of precisely and noninvasively modulating neural activity in the high-level primate ventral visual stream via perturbations on one's natural visual feed. When tested on macaque inferior temporal (IT) neural populations, we found quantitative agreement between the model-predicted and biologically realized effect: strong modulation concentrated on targeted neural sites. We extended this to demonstrate accurate injection of experimenter-chosen neural population patterns via subtle perturbations applied on the background of typical natural visual feeds. These results highlight that current machine-executable models of the ventral stream can now design noninvasive, visually-delivered, possibly imperceptible neural interventions at the resolution of individual neurons.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 6 of its 37 references that are in the map. First posted on arXiv 5 Jun 2025.
Builds on
6 of 37 references.
References · 6
- 2017Towards Deep Learning Models Resistant to Adversarial Attackscited by 6,415
- 2020Shortcut Learning in Deep Neural Networkscited by 1,969
- 2023The Quest for an Integrated Set of Neural Mechanisms Underlying Object Recognition in Primatescited by 8
- 2023Robustified ANNs Reveal Wormholes Between Human Category Perceptscited by 6
- 2024Universal scale-free representations in human visual cortexcited by 5
- 2024L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancementcited by 2
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Citing papers per year: 2025: 1.
1 paper.