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Ingmar de Vries

@ingmardevries.bsky.social
267 followers 416 following 48 posts

Cognitive neuroscientist. I use M/EEG to study how our brain predicts and attends to the world around us. Based at CIMeC, University of Trento (IT). Guest at Donders Institute, Radboud University (NL).

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Ingmar de Vries @ingmardevries.bsky.social · 18/08/2026
And of course the link to our website: cuttingeeg.org/cuttinggarde...
cuttingeeg.org
Rovereto | CuttingGardens2026
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Ingmar de Vries @ingmardevries.bsky.social · 18/08/2026
🎓 Reduced registration fees are available for students and affiliated to Università di Trento and Università degli Studi di Milano-Bicocca. 📅 Registrations open today! ⚠️ Registration closes on 31 August, and places are limited—register early to secure your spot!
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Ingmar de Vries @ingmardevries.bsky.social · 18/08/2026
🛠️ Hands-on tutorials Scientific presentations will alternate with practical sessions on: • Hyperscanning • dynamic Representational Similarity Analysis (RSA) • Frequency-tagging • EEG–MRI co-registration
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Ingmar de Vries @ingmardevries.bsky.social · 18/08/2026
👉 The goal is to bring together researchers using and developing cutting-edge EEG and MEG methods for cognitive and clinical neuroscience. 🌱 Topics • Special focus on 👶 neurodevelopment 👶 , but also: • Multimodal imaging • Advanced MVPA • Hyperscanning and social interaction
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Ingmar de Vries @ingmardevries.bsky.social · 18/08/2026
🧠 Rovereto CuttingEEG Garden 2026 – Registration deadline EXTENDED 🧠 We're thrilled that CIMeC and DIPSCO (UniTrento) will host the Rovereto CuttingEEG Garden from 21–25 September 2026, as one of the hubs of the worldwide distributed CuttingGardens 2026 event "EEG and MEG methods multi-hub meeting".
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
And last, please don't hesitate to get in touch for more details: ingmar.devries@unitn.it. #NeuroJobs
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
Why choose UNITRENTO: www.unitn.it/en/about-us/... CIMeC UniTrento | Facebook: www.facebook.com/cimec.unitre... CIMeC UniTrento | Instagram: www.instagram.com/cimec_unitre...
unitn.it
About us
L'Università di Trento offre didattica di qualità, ricerca innovativa, collaborazioni con le imprese e un ambiente di apprendimento ideale - Unitn
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
Our PhD program in numbers: * 4-yr (Nov. 1, 2026 - Oct. 31, 2030) * English * 100% fully funded * Salary: Net €1.600 per month, paid bi-monthly in advance, among the highest paid PhD's in Italy. * Winners receive a €8700 tax-free research/mobility budget * UNITN ranks as a top Italian University
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
Make sure to check out the 4 topic-specific PhD positions and descriptions, and select the correct one during the application process: phd.unitn.it/drcimec/topi...
phd.unitn.it
2026 Topic-Specific Grants and Descriptions
Descriptions appear by clicking on the grant titles 1. From sound to harmonic structure: cognitive maps of music in the human brain (M. Piazza - 1 position, VINCI 2026) This project stems from a colla...
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
See below for practical information: Details on the admissions process, link to call: www.unitn.it/en/phd/cogni... Link to apply: webapps.unitn.it/Apply/it/Web... Application summary: phd.unitn.it/drcimec/118/... PhD Application Deadline: Wednesday Sept. 2nd, 2026, at 4pm (Italian time)
unitn.it
Cognitive and Brain Sciences
Il dottorato in Cognitive and Brain Sciences offre un percorso interdisciplinare su linguaggio, apprendimento, emozioni, percezione e neuroscienze
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
Relevant papers: 1. De Vries, I.E.J., Wurm, M.F. (2023) Predictive neural representations of naturalistic dynamic input. Nat Commun 14, 3858 2. De Vries, I.E.J., De Lange, F.P., Wurm, M.F. (2026) Hierarchical priors enable neural prediction of perceived biological motion. eLife 15
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
Requirements: - MSc degree, ideally in cog neurosci with experience in neuroimaging (M/EEG or fMRI, MVPA/RSA), or related field - strong programming skills (e.g., Matlab or Python) - Very good English skills, a high level of motivation, reliability, independence, and enthusiasm to work in a team.
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
Besides this vibrant research environment, Trentino is an area filled with natural beauty with lots of outdoor activities such as hiking, climbing, swimming in lakes and skiing. Additionally, you are only a train ride away from cultural cities such as Verona, Venice, Milano or Bologna.
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
The candidate will join an experienced and collaborative double-lab team (led by 2 PIs with FIS grants) with strong expertise in predictive processing in naturalistic dynamic input using M/EEG. We hold weekly lab meetings, biweekly journal clubs and biweekly M/EEG user meetings.
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
🔭JOB ALERT🔬 Fully-funded PhD (+ soon postdoc) openings in my lab @cimecunitrento.bsky.social in Italy, as part of an Italian FIS3 starting grant. TOPIC: Investigating predictive neural representations in naturalistic settings using MEG-based dynamic RSA
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
And of course the link to our website: cuttingeeg.org/cuttinggarde...
cuttingeeg.org
Rovereto | CuttingGardens2026
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
🎓 Reduced registration fees are available for students and affiliated to Università di Trento and Università degli Studi di Milano-Bicocca. 📅 Registrations open today! ⚠️ Registration closes on 24 August, and places are limited—register early to secure your spot!
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
Hosted by CIMeC UniTrento and UniTrento DIPSCO at the Università di Trento, in collaboration with Università degli Studi di Milano-Bicocca and ISTITUTO SCIENTIFICO EUGENIO MEDEA.
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Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
🛠️ Hands-on tutorials Scientific presentations will alternate with practical sessions on: • Hyperscanning • dynamic Representational Similarity Analysis (RSA) • Frequency-tagging • EEG–MRI co-registration
100
Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
👉 The goal is to bring together researchers using and developing cutting-edge EEG and MEG methods for cognitive and clinical neuroscience. 🌱 Topics • Special focus on 👶 neurodevelopment 👶 , but also: • Multimodal imaging • Advanced MVPA • Hyperscanning and social interaction
100
Ingmar de Vries @ingmardevries.bsky.social · 03/08/2026
🧠 Rovereto CuttingEEG Garden 2026 – Registrations open! 🧠 We're thrilled that CIMeC and DIPSCO (UniTrento) will host the Rovereto CuttingEEG Garden from 21–25 September 2026, as one of the hubs of the worldwide distributed CuttingGardens 2026 event "EEG and MEG methods multi-hub meeting".
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Ingmar de Vries @ingmardevries.bsky.social · 30/06/2026
These findings reveal how low- and high-level priors jointly shape predictive neural processing of observed biological motion.
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Ingmar de Vries @ingmardevries.bsky.social · 30/06/2026
Disrupting holistic priors by turning videos upside down selectively reduced high-level view-invariant motion predictions. Instead, disrupting kinematics priors by temporal scrambling eliminated all motion prediction, with neural activity merely reacting to, rather than predicting, visual input.
Main dynamic RSA results. Region of interest (ROI)-based analysis, with dRSA regression weights illustrated as latency plots. The three viewing conditions are displayed in rows with normal on top (A), inverted in the middle (B), and temporally scrambled at the bottom (C). Different stimulus models are displayed in columns with pixelwise motion reflecting optical flow vector direction in each pixel, and body motion reflecting 3D motion of 13 kinematic markers placed on the dancer. (D) Individual-participant peak magnitude in normal versus inverted condition. A dot in the upper left or lower right triangle indicates a larger peak magnitude in the inverted or normal condition, respectively. The red dot reflects the participant average. (E) Same as (D) but for normal versus scrambled condition (n = 37). ** p < 0.01, *** p < 0.001. Results indicate that predictive representation for high-level view-invariant body motion is selectively attenuated with top-down inversion, indicating that such high-level prediction relies on holistic priors. Instead, temporal scrambling attenuates all predictive representation, indicating that view-dependent body and pixelwise motion prediction rely on kinematics priors.
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Ingmar de Vries @ingmardevries.bsky.social · 30/06/2026
Under normal viewing conditions, neural representations were indeed predictive and followed an inverse hierarchy: high-level viewpoint-invariant body motion representations were visible before representations of viewpoint-dependent body motion and low-level visual features (Figure below).
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Ingmar de Vries @ingmardevries.bsky.social · 30/06/2026
We investigated this by comparing the dynamic representational geometry of human magnetoencephalography (MEG) activity and observed biological motion stimuli by means of dynamic representational similarity analysis (dRSA).
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Ingmar de Vries @ingmardevries.bsky.social · 30/06/2026
Biological motion perception is an essential skill that allows us to quickly infer how others move. While this is often cast as inherently predictive process, it remains unclear to what extent different priors shape neural processing of biological motion.
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Ingmar de Vries @ingmardevries.bsky.social · 30/06/2026
❗📝 New paper alert 📝❗ Hierarchical priors enable neural prediction of perceived biological motion 💃 With @predictivebrain.bsky.social and @moritzwurm.bsky.social Reviewed preprint available in eLife: @elife.bsky.social doi.org/10.7554/eLif...
doi.org
Hierarchical priors enable neural prediction of perceived biological motion
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Ingmar de Vries @ingmardevries.bsky.social · 11/06/2026
❗3x scholar-at-risk positions (2 post MSc, 1 postdoc) at Uni Trento (several departments incl. CIMeC)❗ 1 year + possibility of 1 year extension. Must hold asylum seeker / refuge or SAR status. Please contact me for more info. Please share!
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Reposted by Ingmar de Vries
Manuela Piazza @manpiazza.bsky.social · 21/04/2026
Open call for a permanent MEG Lab Manager position for our new MEGIN scanner at CIMeC Trento. You have extensive MEG experience, a degree in physics, engineering, neuroscience: Apply here lavoraconnoi.unitn.it/bando-pta/co... Deadline 29th April! p.s. call in Italian but foreigners welcome!! 🌎
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Ingmar de Vries @ingmardevries.bsky.social · 13/04/2026
I keep telling this to my students, thanks for describing it so clearly!
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Reposted by Ingmar de Vries
Minas Karamanis @minaskar.bsky.social · 30/03/2026
Hey, I wrote a thing about AI in astrophysics ergosphere.blog/posts/the-ma...
ergosphere.blog
The machines are fine. I'm worried about us.
On AI agents, grunt work, and the part of science that isn't replaceable.
1101781531
Ingmar de Vries @ingmardevries.bsky.social · 04/04/2026
Please don't hesitate to get in touch for more details: ingmar.devries@unitn.it
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Ingmar de Vries @ingmardevries.bsky.social · 04/04/2026
The CIMeC, it’s doctoral program and UNITN in numbers: * UNITN ranks as a top Italian University * 4-yr program (Nov. 1, 2026 - Oct. 31, 2030) * English * Salary: Net €1.600 per month * Winners receive €8700 tax-free research/mobility budget
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Ingmar de Vries @ingmardevries.bsky.social · 04/04/2026
About CIMeC: www.cimec.unitn.it/en For other PhD openings at CIMeC see: phd.unitn.it/drcimec/rese..., and: phd.unitn.it/drcimec/topi...
cimec.unitn.it
Home page | CIMEC - Centre for Mind/Brain sciences
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Ingmar de Vries @ingmardevries.bsky.social · 04/04/2026
See below for practical information: Details on the admissions process, link to call: phd.unitn.it/drcimec/116/... Link to apply: webapps.unitn.it/Apply/it/Web... Application summary: phd.unitn.it/drcimec/118/... Deadline: Thursday May 7, 2026, at 4pm (Italian time)
phd.unitn.it
Admission to the Doctorate in Cognitive and Brain Sciences
Admission to the programme is open to all candidates interested in research areas of the CIMeC, regardless of ethnicity, nationality, gender, or age. Applicants are supposed to have an Italian laurea ...
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Ingmar de Vries @ingmardevries.bsky.social · 04/04/2026
Relevant papers: 1. De Vries, I.E.J., Wurm, M.F. (2023) Predictive neural representations of naturalistic dynamic input. Nat Commun 14, 3858 2. De Vries, I.E.J., De Lange, F.P., Wurm, M.F. (2025) Hierarchical priors enable neural prediction of perceived biological motion. doi.org/10.1101/2025...
doi.org
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Ingmar de Vries @ingmardevries.bsky.social · 04/04/2026
Requirements: - MSc degree, ideally in cog neurosci with experience in neuroimaging (M/EEG or fMRI, MVPA/RSA), or related field - strong programming skills (e.g., Matlab or Python) - Very good English skills, a high level of motivation, reliability, independence, and enthusiasm to work in a team.
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Ingmar de Vries @ingmardevries.bsky.social · 04/04/2026
Besides this vibrant research environment, Trentino is an area filled with natural beauty with lots of outdoor activities such as hiking, climbing, swimming in lakes and skiing. Additionally, you are only a train ride away from cultural cities such as Verona, Venice, Milano or Bologna.
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Ingmar de Vries @ingmardevries.bsky.social · 04/04/2026
The candidate will join an experienced and collaborative double-lab team (led by 2 PIs with FIS grants) with strong expertise in predictive processing in naturalistic dynamic input using M/EEG. We hold weekly lab meetings, biweekly journal clubs and biweekly M/EEG user meetings.
100
Ingmar de Vries @ingmardevries.bsky.social · 04/04/2026
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.
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Reposted by Ingmar de Vries
Kaiser Lab @dkaiserlab.bsky.social · 10/02/2026
📢 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. 1/4
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Ingmar de Vries @ingmardevries.bsky.social · 30/03/2026
Thanks again for the invite @herbstso.bsky.social!
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Ingmar de Vries @ingmardevries.bsky.social · 30/03/2026
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...
youtube.com
Hierarchical priors and stimulus familiarity facilitate neural prediction of naturalistic...
YouTube video by Cognitive Neuroscience & Brain Imaging conferences
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Reposted by Ingmar de Vries
micha heilbron @mheilbron.bsky.social · 05/03/2026
📢 PhD position in the NeuroAI of Language Why can LLMs predict brain activity so well? We're hiring a PhD student to find out -- AI interpretability meets neuroimaging Deadline March 20 Please RT 🙏 👇 mpi.nl/career-education/vacancies/vacancy/fully-funded-4-year-phd-position-neuroai-language
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Reposted by Ingmar de Vries
micha heilbron @mheilbron.bsky.social · 10/03/2026
📢 PhD position in Developmental Language Modelling (PLZ RT) What can human language acquisition teach us about training language models? Join us as a PhD! mpi.nl/career-education/vacancies/vacancy/fully-funded-4-year-phd-position-developmental-language @carorowland.bsky.social @mpi-nl.bsky.social
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Reposted by Ingmar de Vries
Anne Zonneveld @annewzonneveld.bsky.social · 31/10/2025
📢 New preprint, together with @sargechris.bsky.social! Building on @sargechris.bsky.social's previous work, we benchmark 100+ image and video models 🤖 on brain representational alignment, this time to EEG data of humans 🧠 watching videos! 🧵⬇️ www.biorxiv.org/content/10.1...
biorxiv.org
The Human Brain as a Dynamic Mixture of Expert Models in Video Understanding
The human brain is the most efficient and versatile system for processing dynamic visual input. By comparing representations from deep video models to brain activity, we can gain insights into mechani...
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Ingmar de Vries @ingmardevries.bsky.social · 23/02/2026
These findings reveal how low- and high-level priors jointly shape predictive neural processing of observed biological motion.
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Ingmar de Vries @ingmardevries.bsky.social · 23/02/2026
Disrupting holistic priors by turning videos upside down selectively reduced high-level view-invariant motion predictions. Instead, disrupting kinematics priors by temporal scrambling eliminated all motion prediction, with neural activity merely reacting to, rather than predicting, visual input.
Main dynamic RSA results. Region of interest (ROI)-based analysis, with dRSA regression weights illustrated as latency plots. The three viewing conditions are displayed in rows with normal on top (A), inverted in the middle (B), and temporally scrambled at the bottom (C). Different stimulus models are displayed in columns with pixelwise motion reflecting optical flow vector direction in each pixel, and body motion reflecting 3D motion of 13 kinematic markers placed on the dancer. (D) Individual-participant peak magnitude in normal versus inverted condition. A dot in the upper left or lower right triangle indicates a larger peak magnitude in the inverted or normal condition, respectively. The red dot reflects the participant average. (E) Same as (D) but for normal versus scrambled condition (n = 37). **  p < 0.01, *** p < 0.001. Results indicate that predictive representation for high-level view-invariant body motion is selectively attenuated with top-down inversion, indicating that such high-level prediction relies on holistic priors. Instead, temporal scrambling attenuates all predictive representation, indicating that view-dependent body and pixelwise motion prediction rely on kinematics priors.
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Ingmar de Vries @ingmardevries.bsky.social · 23/02/2026
Under normal viewing conditions, neural representations were indeed predictive and followed an inverse hierarchy: high-level viewpoint-invariant body motion representations were visible before representations of viewpoint-dependent body motion and low-level visual features (Figure below).
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Ingmar de Vries @ingmardevries.bsky.social · 23/02/2026
We investigated this by comparing the dynamic representational geometry of human magnetoencephalography (MEG) activity and observed biological motion stimuli by means of dynamic representational similarity analysis (dRSA).
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