Cognitive Neuroscientist | Predictive Processing & Perception Researcher.
At: Donders Institute. Formerly: CIMCYC, Granada & VU Amsterdam.
https://www.richter-neuroscience.com/
David Richter
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New peer-reviewed paper w/ @mheilbron.bsky.social, @predictivebrain.bsky.social & Jakub Szewczyk!
Pre-onset brain encoding has been taken as evidence that brains–like LLMs–predict upcoming words. We show that the same signatures arise in systems that cannot predict. (elifesciences.org) (1/8)
Looking forward to it! Hope to see some of you there!
ines-schoenmann.bsky.social
David Richter
Spend your July doing research in Granada!
The CIMCYC is calling for talented undergraduate students (non-UGR) to join our Summer Research Stays 2026.
📍 9 Placements available
💶 €1,600 scholarship
🔬 8 specialized Research Groups (see next post!)
🏡 Housing support included
Apply by May 11
A huge effort and a new take on what constitutes the "feedforward pass" across the visual system. Make sure to check out our new preprint:
OPEN POSTDOC position (part of @erc.europa.eu Consolidator DYNALANG)
We build math&comp models of neural dynamics using insights from formal linguistics + ML
Seeking theory-driven researchers w/ interests in language, neural dynamics, & math/comp neuroscience.
Apply here: tinyurl.com/55exdpse
I recently had the pleasure to visit the great Neurospin institute in Paris where I presented my work on the neural prediction of naturalistic dynamic input:
www.youtube.com/watch?v=Ywxt...
Some data from the talk is published at:
doi.org/10.1038/s414...
and
doi.org/10.1101/2025...
New paper! 🚨 ~1.8K Mooney images from THINGS + ~1K participants to study visual ambiguity resolution.
Results suggest the visual system shifts from a top-down guess to bottom-up matching after disambiguation, and a U-shaped link between info gain and identification.
www.nature.com/articles/s44...
Check out our new paper out in communications psychology! @commspsychol.nature.com
JOB ALERT: PhD opening in my lab!
@cimecunitrento.bsky.social
in Italy, as part of an Italian FIS3 starting grant.
The project will use advanced analysis methods of MEG data to investigate how our world's naturalistic hierarchical structure facilitates predictive neural processing.
