activity
20242026
collaborators

5 papers

q-bio.NC2026

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…

q-bio.NC2025

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…

q-bio.NC2025

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…

q-bio.NC2025

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…

cs.LG2024

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…