Looking forward to it! Hope to see some of you there!
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
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)
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
Juan Linde-Domingo
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...
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:
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
📢Publication Alert: New Paper on Human Pavlovian Fear Conditioning!
It has been speculated that psychophysiological responses to an outcome during learning could express prediction errors.
➡️ onlinelibrary.wiley.com/doi/10.1111/...
#associativelearning #psychophysiology #PavlovianFearConditioning
andrea e. martin
Pavlovian reward learning is driven by prediction errors (PE), but it remains unclear whether this is also the case for aversive learning, and to what extent PE are expressed in physiological indices...
onlinelibrary.wiley.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.
