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.
New paper in Neuropsychologia 🎉
Patterns of functional connectivity differentiate individuals and individual regions in face and scene selective networks
With @kiranoad.bsky.social @bartholomewquinn.bsky.social & Tim Andrews, @yorkpsychology.bsky.social
authors.elsevier.com/a/1mhTF_fKKq...
⚠️New preprint out⚠️
Discrete episodes of conscious access revealed by the psychological refractory period
Together with @michaengesee.bsky.social , @standehaene.bsky.social and Lucia Melloni (@predictivebrainlab.bsky.social)
doi.org/10.31234/osf...
#Consciousness #CognitiveNeuroscience
New preprint with @alexlepauvre.bsky.social, @standehaene.bsky.social and Lucia Melloni (@predictivebrainlab.bsky.social) on the temporal dynamics of conscious access:
Discrete episodes of conscious access revealed by the psychological refractory period
osf.io/preprints/ps...
10 PhD positions at JLU Giessen in the new Research Training Group "PIMON"! We will explore how humans perceive and interact with materials and objects in natural environments.
More information on the project, the PIs, and how to apply here:
www.uni-giessen.de/de/ueber-uns...
Please share!
How segregated vs. integrated are face and body representations in human visual cortex?
In this new preprint with @kathadobs.bsky.social, we use DNNs and fMRI to find out.
www.biorxiv.org/content/10.6...
#neuroskyence
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New preprint!
Why do people disagree about what looks beautiful, even when viewing the same stimulus?
We show that shared aesthetic experience is linked to shared gaze during naturalistic viewing: www.biorxiv.org/content/10.6...
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📢 Workshop announcement.
We are super excited to announce the workshop Perceptual Inferences, from philosophy to neuroscience, organized by Alexander Schütz and Daniel Kaiser.
📍 Rauischholzhausen Castle, near Marburg, Germany
🗓️ June 8 to 10, 2026.
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🧨 Preprint alert
Is it easier to find a ball than a shoe? The answer lies in how variable we think these objects are in the real-world. www.biorxiv.org/content/10.6...
w/ the amazing @dkaiserlab.bsky.social & @luchunyeh.bsky.social 🦄
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🎊📜 NEW PAPER 📜🎊
Can we seriously build synthetic consciousness?
And if so, where do we start?
I’m super excited to present recent publication in Neuroscience & Biobehavioral Reviews where @jaanaru.bsky.social and I confront this challenge head on.
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🚨 New preprints out!🚨
Excited to share two new preprints from my #MSCA project. With Daniel @dkaiserlab.bsky.social , Marius @peelen.bsky.social , and Belma Seferovic, we show how contextual associations shape real-world object representations and guide everyday visual task performance.
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These results provide a novel, mechanistic explanation of how perceptual and neural alignment across individuals is shaped by idiosyncrasies in prior experience.
Moreover, variations in participants' internal models predicted inter-subject correlations in BOLD time courses in the lateral occipital and lateral prefrontal cortices.
Individuals with more similar internal models showed more similar scene categorization performance and judged several scene properties (typicality, usability, and complexity) more similarly.
We then used the inter-subject similarities in internal models to predict inter-subject similarities in perceptual task performances and neural responses to a fully independent set of natural scenes.
To characterize these internal models, participants drew what they considered the most typical version of a given scene category. Using a combination of deep learning tools, we quantified inter-subject similarities in these drawings.
Here, we propose that idiosyncrasies in internal models—mental representations of what the world should look like—shape how individuals perceive and process natural scenes.
Every individual person perceives the visual world in their own unique way, yet we still know little about the origins of these individual differences.
I’m excited to share the first preprint from my PhD project!
Together with Daniel Kaiser (@dkaiserlab.bsky.social), we investigated how internal models shape inter-individual differences in the perception and neural processing of natural scenes.
Preprint: osf.io/preprints/ps...
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In this paper we present flexible methods for participants to express their expectations about natural scenes.