@carmenamme.bsky.social
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reposted by
Tim Kietzmann
18 days ago
Our NeuroAI study made it onto the cover of Nature Machine Intelligence β€οΈ. In it, we demonstrate that a developmentally-inspired visual diet can drastically improve the robustness of ANN-based vision systems.
www.nature.com/articles/s42...
open access, open code, open weights, open science.
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reposted by
Philip Sulewski
17 days ago
Now out in Nature Neuroscience: "Fixation duration on natural scenes is explained by memory encoding not processing demand".
www.nature.com/articles/s41...
Our eyes don't linger because recognition is hard; they linger to remember. Let me take you on a quick tour. π§΅
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Fixation duration on natural scenes is explained by memory encoding not processing demand - Nature Neuroscience
By combining magnetoencephalography and eye tracking, this study sheds light on why people fixate on some parts of natural scenes longer than others. Rather than visual complexity, fixation durations ...
https://www.nature.com/articles/s41593-026-02285-1
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reposted by
Sushrut Thorat
7 months ago
π¨New Preprint! How can we model natural scene representations in visual cortex? A solution is in active vision: predict the features of the next glimpse!
arxiv.org/abs/2511.12715
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@adriendoerig.bsky.social
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@alexanderkroner.bsky.social
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@carmenamme.bsky.social
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Predicting upcoming visual features during eye movements yields scene representations aligned with human visual cortex
Scenes are complex, yet structured collections of parts, including objects and surfaces, that exhibit spatial and semantic relations to one another. An effective visual system therefore needs unified ...
https://arxiv.org/abs/2511.12715
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reposted by
Victoria Bosch
7 months ago
Introducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language. tl;dr: you can now chat with a brain scan π§ π¬ 1/n
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