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Alessandro Gifford

Postdoctoral Researcher · Berlin

Alessandro Gifford

I study the neural algorithm and representational content underlying visual processing, using a combination of large-scale neural datasets, computational modeling, and machine learning.

I'm a postdoctoral researcher in cognitive computational visual neuroscience at the Freie Universität Berlin, Germany, in the Neural Dynamics of Visual Cognition Lab led by Radoslaw Cichy

People do science for many different reasons. As for me, I deeply enjoy intellectual challenges, and I see science as a great opportunity to think, explore, discover, and create.

Besides scientific research, things in life that I appreciate are: philosophy, learning, open and honest communication, movies (independent/arthouse), electronic music, playing Frisbee, mountain hikes, sleeping.

2026

The Brain Encoding Response Generator (BERG)

Gifford AT, Bersch D, Janini D, Roig G, Cichy RM

In preparation

in-silico-neuroscience neural-encoding resource fmri eeg animal-data image-stimuli video-stimuli languistic-stimuli multimodal-stimuli
2026

A 7T fMRI dataset of synthetic images for out-of-distribution modeling of vision

Gifford AT, Cichy RM, Naselaris T, Kay K

Nature Communications

neural-encoding ood-generalization resource fmri image-stimuli
2026

The human brain as a dynamic mixture of expert models in video understanding

Sartzetaki C, Zonneveld AW, Oyarzo P, Gifford AT, Cichy RM, Mettes P, Groen IIA

International Conference on Learning Representations (ICLR)

representational-content rsa eeg video-stimuli
2025

In silico discovery of representational relationships across visual cortex

Gifford AT, Jastrzębowska MA, Singer JDD, Cichy RM

Nature Human Behavior

in-silico-neuroscience representational-content neural-control fmri image-stimuli
2025

In silico neuroscience: an emerging paradigm for brain discovery

Gifford AT

PhD dissertation

in-silico-neuroscience
2025

The time course of visuo-semantic representations in the human brain is captured by combining vision and language models

Rong B, Gifford AT, Düzel E, Cichy RM

eLife

representational-content neural-encoding eeg image-stimuli
2025

The Algonauts Project 2025 challenge: How the human brain makes sense of multimodal movies

Gifford AT, Bersch D, St-Laurent M, Pinsard B, Boyle J, Bellec L, Oliva A, Roig G, Cichy RM

arXiv

neural-encoding ood-generalization resource community-event fmri multimodal-stimuli
2024

Modeling short visual events through the BOLD moments video fMRI dataset and metadata

Lahner B, Dwivedi K, Iamshchinina P, Graumann M, Lascelles A, Roig G, Gifford AT, Pan B, Jin S, Murty AR, Kay K, Oliva A, Cichy RM

Nature Communications

resource fmri video-stimuli
2024

Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG

Guo M, Choksi B, Saba-Sadiya S, Gifford AT, Vilas MG, Cichy RM, Roig G

European Conference on Computer Vision (ECCV)

neural-alignment eeg image-stimuli
2023

The Algonauts Project 2023 challenge: How the human brain makes sense of natural scenes

Gifford AT, Lahner B, Saba-Sadiya S, Vilas MG, Lascelles A, Oliva A, Kay K, Roig G, Cichy RM

arXiv

neural-encoding ood-generalization resource community-event fmri image-stimuli
2022

A large and rich EEG dataset for modeling human visual object recognition

Gifford AT, Dwivedi K, Roig G, Cichy RM

NeuroImage

neural-encoding neural-decoding resource eeg image-stimuli

I am happy to hear from prospective collaborators, students interested in computational approaches to neuroscience, or anyone curious about our work.

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