Johannes Singer
singerjohannes.bsky.social
Johannes Singer
@singerjohannes.bsky.social
Postdoc @ FU Berlin.
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)
www.biorxiv.org
November 7, 2025 at 9:39 AM
Reposted by Johannes Singer
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...
November 4, 2025 at 1:57 PM
Reposted by Johannes Singer
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
November 3, 2025 at 3:17 PM
Reposted by Johannes Singer
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...
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.
www.thetransmitter.org
October 13, 2025 at 1:23 PM
Reposted by Johannes Singer
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/...
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...
journals.plos.org
October 10, 2025 at 2:36 PM
Reposted by Johannes Singer
🚨 Finally out in Nature Machine Intelligence!!
"Visual representations in the human brain are aligned with large language models"
🔗 www.nature.com/articles/s42...
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...
www.nature.com
August 7, 2025 at 1:06 PM
Reposted by Johannes Singer
🚨 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
July 8, 2025 at 1:09 PM
Reposted by Johannes Singer
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...
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...
www.nature.com
June 25, 2025 at 12:39 PM
Reposted by Johannes Singer
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.
Now out in Nature Human Behaviour @nathumbehav.nature.com : “End-to-end topographic networks as models of cortical map formation and human visual behaviour”. Please check our NHB link: www.nature.com/articles/s41...
June 6, 2025 at 11:57 AM
Reposted by Johannes Singer
(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...
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 ...
doi.org
March 11, 2025 at 5:05 PM
Reposted by Johannes Singer
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. 🧵
December 11, 2024 at 10:18 PM