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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 unique realm 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, martial arts, playing Frisbee, mountain hikes, sleeping.

2026

A resource of encoding models for in silico neuroscience

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 large dataset of human EEG responses to short naturalistic videos for studying dynamic visual event processing

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

arXiv

resource eeg video-stimuli neural-encoding neural-decoding rsa
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

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

eeg video-stimuli representational-content rsa
2025

In silico discovery of representational relationships across visual cortex

Gifford AT, Jastrzębowska MA, Singer JDD, Cichy RM

Nature Human Behavior

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

eeg image-stimuli representational-content neural-encoding
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

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

fmri video-stimuli resource
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)

eeg image-stimuli neural-alignment
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

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

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

Gifford AT, Dwivedi K, Roig G, Cichy RM

NeuroImage

resource eeg image-stimuli neural-encoding neural-decoding

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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