Author

Alessandro T. Gifford

Freie Universität BerlinORCID 0000-0002-8923-9477Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Research Focus:benchmarking· 2 Assay:electronic health records· 2 Approach:statistical model· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Radoslaw Martin CichyiD· 3 shared Gemma RoigiD· 2 shared Kshitij DwivediiD· 2 shared Alex LascellesiD· 1 shared Anne W. ZonneveldiD· 1 shared Aude OlivaiD· 1 shared Benjamin LahneriD· 1 shared Bowen Pan· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersNeuroscience

Radoslaw Martin CichyORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

The Human Brain as a Dynamic Mixture of Expert Models in Video Understanding

Christina Sartzetaki, Anne W. Zonneveld, Pablo Oyarzo, Alessandro T. Gifford, Radoslaw Martin Cichy, Pascal Mettes, Iris I. A. Groen

The paper aligns video models with EEG data to understand dynamic visual processing, finding that mid-level temporally-integrative features best match posterior brain responses.

bioRxiv · Oct 27, 2025 · PreprintNeuroscience

BOLD Moments: modeling short visual events through a video fMRI dataset and metadata

Benjamin Lahner, Kshitij Dwivedi, Polina Iamshchinina, Monika Graumann, Alex Lascelles, Gemma Roig, Alessandro T. Gifford, Bowen Pan, SouYoung Jin, N. Apurva Ratan Murty, Kendrick Kay, Aude Oliva, Radoslaw Martin Cichy

The paper introduces BOLD Moments Dataset (BMD), a video fMRI dataset capturing whole-brain responses to naturalistic videos, and shows its ability to capture temporal dynamics and correlate with video memorability.

Nature Communications · Jul 24, 2024Peer-reviewedNeuroscience

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

Alessandro T. Gifford, Kshitij Dwivedi, Gemma Roig, Radoslaw Martin Cichy

The paper introduces a large EEG dataset for visual object recognition and demonstrates its utility through multiple computational modeling approaches.

NeuroImage · Nov 15, 2022Peer-reviewedNeuroscience