Johannes Singer
@singerjohannes.bsky.social
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Postdoc @ FU Berlin.
reposted by
Johannes Singer
Giacomo Aldegheri
9 days ago
🚨 New paper out in Science Advances 🚨 With
@suryagayet.bsky.social
and
@peelen.bsky.social
, in two fMRI studies we investigate mental object rotations that are driven by the scene context, rather than purely by cognitive operations. 🧵
www.science.org/doi/10.1126/...
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cool work suggesting there might be a little voice in your head that you hear while reading and how that voice might look like in the brain
add a skeleton here at some point
about 2 months ago
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Johannes Singer
Sander van Bree
about 2 months ago
New preprint w/ Malin Styrnal &
@martinhebart.bsky.social
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/ps...
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OSF
https://osf.io/preprints/psyarxiv/gjk45
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Johannes Singer
Fernanda Ribeiro
2 months ago
Investigating individual-specific topographic organization has traditionally been a resource-intensive and time-consuming process. But what if we could map visual cortex organization in thousands of brains? Here we offer the community with a toolbox that can do just that!
tinyurl.com/deepretinotopy
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Johannes Singer
Tomas Knapen
2 months ago
New today in @Nature: your visual cortex contains touch-based body maps.
bit.ly/VisualBodyMaps
Your brain transforms what you see into first-person, body-referenced codes: A previously unknown bridge between vision and touch.
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reposted by
Johannes Singer
Sushrut Thorat
3 months ago
🚨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
+
@adriendoerig.bsky.social
,
@alexanderkroner.bsky.social
,
@carmenamme.bsky.social
,
@timkietzmann.bsky.social
🧵 1/14
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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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New preprint led by
@pablooyarzo.bsky.social
together with
@kohitij.bsky.social
, Diego Vidaurre & Radek Cichy. Using EEG + fMRI, we show that when humans recognize images that feedforward CNNs fail on, the brain recruits cortex-wide recurrent resources.
www.biorxiv.org/content/10.1...
(1/n)
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https://www.biorxiv.org/content/10.1101/2025.10.17.682937v2.abstract
3 months ago
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reposted by
Johannes Singer
Martin Hebart
3 months ago
Please repost! I am looking for a PhD candidate in the area of Computational Cognitive Neuroscience to start in early 2026. The position is funded as part of the Excellence Cluster "The Adaptive Mind" at
@jlugiessen.bsky.social
. Please apply here until Nov 25:
www.uni-giessen.de/de/ueber-uns...
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reposted by
Johannes Singer
Victoria Bosch
3 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 🧠💬 1/n
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Johannes Singer
The Transmitter
4 months ago
Figuring out how the brain uses information from visual neurons may require new tools, writes
@neurograce.bsky.social
. Hear from 10 experts in the field.
#neuroskyence
www.thetransmitter.org/the-big-pict...
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Connecting neural activity, perception in the visual system
Figuring out how the brain uses information from visual neurons may require new tools. I asked nine experts to weigh in.
https://www.thetransmitter.org/the-big-picture/the-visual-systems-lingering-mystery-connecting-neural-activity-and-perception/?utm_source=bluesky&utm_medium=org-social&utm_campaign=20251013-perspectives-visual-systems-lingering-mystery-connecting-neural-activity-perception
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reposted by
Johannes Singer
Kaiser Lab
4 months ago
By utilizing the visual backward masking paradigm, this study aimed to disentangle the contributions of feedforward and recurrent processing, revealing that recurrent processing significantly shapes the object representations across the ventral visual stream.
journals.plos.org/plosbiology/...
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Recurrence affects the geometry of visual representations across the ventral visual stream in the human brain
The specific roles of feedforward and recurrent processing in human visual object recognition remain incompletely understood. In this neuroimaging and computational modelling study the authors isolate...
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3003354
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reposted by
Johannes Singer
Adrien Doerig
6 months ago
🚨 Finally out in Nature Machine Intelligence!! "Visual representations in the human brain are aligned with large language models" 🔗
www.nature.com/articles/s42...
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High-level visual representations in the human brain are aligned with large language models - Nature Machine Intelligence
Doerig, Kietzmann and colleagues show that the brain’s response to visual scenes can be modelled using language-based AI representations. By linking brain activity to caption-based embeddings from lar...
https://www.nature.com/articles/s42256-025-01072-0
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reposted by
Johannes Singer
Zejin Lu
7 months ago
🚨 Preprint alert! Excited to share my second PhD project: “Adopting a human developmental visual diet yields robust, shape-based AI vision” -- a nice case showing that biology, neuroscience, and psychology can still help AI :)!
arxiv.org/abs/2507.03168
add a skeleton here at some point
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Johannes Singer
Nature Human Behaviour
7 months ago
Using in silico neuroscience,
@alessandrogifford.bsky.social
et al. developed a neural control algorithm to modulate the representational relationships between visual cortical areas, revealing how these areas jointly represent the world as an interconnected network.
www.nature.com/articles/s41...
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In silico discovery of representational relationships across visual cortex - Nature Human Behaviour
Using in silico neuroscience, Gifford et al. developed a neural control algorithm to modulate the representational relationships between visual cortical areas, revealing how these areas jointly repres...
https://www.nature.com/articles/s41562-025-02252-z
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reposted by
Johannes Singer
Adrien Doerig
8 months ago
I'm super happy to see our project on topographic neural network models of visual processing out in
@nathumbehav.nature.com
! Have a look at
@zejinlu.bsky.social
's thread for details.
add a skeleton here at some point
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reposted by
Johannes Singer
Alessandro Gifford
11 months ago
(1/7) NSD-synthetic is out! NSD-synthetic enables strict out-of-distribution generalization tests critical for the development of more robust models of visual processing and the formulation of more accurate theories of human vision.
#NeuroAI
#CompNeuro
#neuroscience
#AI
doi.org/10.48550/arX...
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A 7T fMRI dataset of synthetic images for out-of-distribution modeling of vision
Large-scale visual neural datasets such as the Natural Scenes Dataset (NSD) are boosting NeuroAI research by enabling computational models of the brain with performances beyond what was possible just ...
https://doi.org/10.48550/arXiv.2503.06286
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reposted by
Johannes Singer
Martin Hebart
about 1 year ago
I promised to write about my thoughts on the status of the field of neuroAI, some of the big challenges we are facing, and the approaches we are taking to address them. This is super selective on the topic of finding a good model but in my view it affects the field as a whole. Here we go. 🧵
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