42 citations · 130 across the 9 of their papers we have counts for
4 papers · 1 filter
Active Visual Semantics: A large-scale MEG and eye-tracking dataset for understanding visual intelligence in action
Philip Sulewski, Carmen Amme, Peter König +2
Here we present the Active Visual Semantics (AVS) dataset, a large-scale collection of magnetoencephalography (MEG) and eye-tracking data recorded while five participants freely ex…
CNeuroMod-THINGS, a densely-sampled fMRI dataset for visual neuroscience
Marie St-Laurent, Basile Pinsard, Oliver Contier +6
Data-hungry neuro-AI modelling requires ever larger neuroimaging datasets. CNeuroMod-THINGS meets this need by capturing neural representations for a wide set of semantic concepts…
Getting aligned on representational alignment
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller +30
Biological and artificial information processing systems form representations of the world that they can use to categorize, reason, plan, navigate, and make decisions. How can we m…
The Same Analysis Approach: Practical protection against the pitfalls of novel neuroimaging analysis methods
Kai Görgen, Martin N. Hebart, Carsten Allefeld +1
Standard neuroimaging data analysis based on traditional principles of experimental design, modelling, and statistical inference is increasingly complemented by novel analysis meth…