Postdoc @MPI_CBS & @MPS_Cog | Brain representation of the (visual) world. 🌏➡️🧠

Joined August 2010
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Hugely excited that this work with @martin_hebart and @Chris_I_Baker is now out in @NatureHumBehav !!! By moving from a category-focused to a behaviour-focused model, we identified behaviourally relevant object information throughout visual cortex. nature.com/articles/s41562-0…
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It’s out!
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New preprint w/ Malin Styrnal & @martin_hebart Have you ever computed noise ceilings to understand how well a model performs? We wrote a clarifying note on a subtle and common misapplication that can make models appear quite a lot better than they are. osf.io/preprints/psyarxiv/gj…

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I'm thrilled to see this preprint out! Lenny compellingly demonstrates, in a data-driven way, a coding scheme unifying distributed dimensions & category selectivity.➡️Higher visual cortex comprises many partially overlapping tuning maps that include but go beyond category tuning!
How is high-level visual cortex organized? In a new preprint with @martin_hebart & @KathaDobs, we show that category-selective areas encode a rich, multidimensional feature space 🌈 biorxiv.org/content/10.1101/… 🧵 1/n
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How is high-level visual cortex organized? In a new preprint with @martin_hebart & @KathaDobs, we show that category-selective areas encode a rich, multidimensional feature space 🌈 biorxiv.org/content/10.1101/… 🧵 1/n

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"Rethinking category-selectivity in human visual cortex" with @susanwardle @mvazirip Dwight Kravitz @Chris_I_Baker 1/3
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Exited to share our latest @TrendsNeuro opinion paper on —intensive— fMRI, with @Tknapen @cvnlab @elimerriam! We discuss ways to maximize both quantity and quality of your large-scale “deep” fMRI dataset, and create a community resource 🧠 tinyurl.com/intensivefmri

25 Oct 2024
In this TINS review we (w/@cvnlab, @elimerriam, & @eline_kupers) argue that *intensive* (many hours of data) fMRI of single individuals for single-voxel model fitting is a paradigm shift for cognitive/computational neuroimaging. tinyurl.com/intensivefmri 1/2
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🧵New preprint with @cvnlab, @tnaselar & @tknapen: How does the brain connect vision and touch representations to infuse vision with body-related meaning? TLDR: We found high-level visual cortex is tiled with maps 'multiplexing' vision and touch. tinyurl.com/seesoma 1/n

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Wow! What an honor to be covered by @ettah @NatureNeuro as a research highlight! 🤯 nature.com/articles/s41593-0…
Our recent paper just got featured as a research highlight at @NatureNeuro. Thanks to @ettah for covering our work! nature.com/articles/s41593-0…
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Oliver Contier retweeted
Our recent paper just got featured as a research highlight at @NatureNeuro. Thanks to @ettah for covering our work! nature.com/articles/s41593-0…

Hugely excited that this work with @martin_hebart and @Chris_I_Baker is now out in @NatureHumBehav !!! By moving from a category-focused to a behaviour-focused model, we identified behaviourally relevant object information throughout visual cortex. nature.com/articles/s41562-0…
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Really excited to share what we’ve been working on for the past 12 months during my time @GoogleDeepMind! We came up with an approach that can distill the hierarchical structure of human conceptual knowledge into vision foundation models via a surrogate teacher model. More below!
What aspects of human knowledge are vision models missing, and can we align them with human knowledge to improve their performance and robustness on cognitive and ML tasks? Excited to share this new work led by @lukas_mut! 1/10
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How does our brain allow us to make sense of our visual world? Work led by @OliverContier w/ @Chris_I_Baker now out in @NatureHumBehav provides support for a theoretical framework of behaviorally-relevant selectivity beyond high-level categorization. 🧵 x.com/OliverContier/status/1…

Hugely excited that this work with @martin_hebart and @Chris_I_Baker is now out in @NatureHumBehav !!! By moving from a category-focused to a behaviour-focused model, we identified behaviourally relevant object information throughout visual cortex. nature.com/articles/s41562-0…
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Humans think in many #dimensions at a time 🧠📷When seeing objects, our #brain uses not just one, but a multitude of behaviorally relevant dimensions, like @OliverContier & @martin_hebart @jlugiessen show in @NatureHumBehav: tinyurl.com/426j696e
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Excited to present findings from my first PhD project with @martin_hebart and @KathaDobs at #CCN2024 If you're into visual cortex, functional selectivity, and/or representational dimensions, make sure to stop by poster P154 today! 🧠🌈
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What makes humans similar or different to AI? In a new study, led by @florianmahner and @lukas_mut and w/ @umuguc, we took a deep look at the factors underlying their representational alignment, with surprising results. arxiv.org/abs/2406.19087 🧵
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Interested in what we can learn from curvature ratings of more than 27000 images? Then come to Laura’s poster this afternoon at the Pavilion! #vss2024
Hey @VSSMtg! Curious if people's perception of curvature organizes visual responses similar to image-computed curvature? Don't miss mine and @martin_hebart's Poster in the Pavilion today, 2:45 - 6:45 pm. Excited to discuss!
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Hey @VSSMtg! Curious if people's perception of curvature organizes visual responses similar to image-computed curvature? Don't miss mine and @martin_hebart's Poster in the Pavilion today, 2:45 - 6:45 pm. Excited to discuss!
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If you are interested in the functional neuroanatomy of the visual system, please come by Josefine Zerbe’s and @MaggieMaeWokeUp’s poster on a dataset of densely sampled retinotopy plus 0.8mm DTI from a Connectom MRI that promises a detailed picture of the human visual connectome.
Check out Josefine’s and @MaggieMaeWokeUp's amazing dataset merging state-of-the art techniques in functional, diffusion, and structural imaging! Today 8:30 am – 12:30 pm in Banyan Breezeway @VSSMtg @martin_hebart @Tknapen
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