11 citations · 11 across the 2 of their papers we have counts for
5 papers
The time course of visuo-semantic representations in the human brain is captured by combining vision and language models
Boyan Rong, Alessandro Thomas Gifford, Emrah Düzel +1
The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these represen…
A 7T fMRI dataset of synthetic images for out-of-distribution modeling of vision
Alessandro T. Gifford, Radoslaw M. Cichy, Thomas Naselaris +1
Now published in Nature Communications DOI: https://doi.org/10.1038/s41467-026-69345-9 Large-scale visual neural datasets such as the Natural Scenes Dataset (NSD) are boosting comp…
The Algonauts Project 2025 Challenge: How the Human Brain Makes Sense of Multimodal Movies
Alessandro T. Gifford, Domenic Bersch, Marie St-Laurent +6
There is growing symbiosis between artificial and biological intelligence sciences: neural principles inspire new intelligent machines, which are in turn used to advance our theore…
In silico discovery of representational relationships across visual cortex
Alessandro T. Gifford, Maya A. Jastrzębowska, Johannes J. D. Singer +1
Now published in Nature Human Behavior doi: https://doi.org/10.1038/s41562-025-02252-z Human vision is mediated by a complex interconnected network of cortical brain areas that joi…
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG
Manshan Guo, Bhavin Choksi, Sari Sadiya +4
In contrast to human vision, artificial neural networks (ANNs) remain relatively susceptible to adversarial attacks. To address this vulnerability, efforts have been made to transf…