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Sam Verschooren

@samversc.bsky.social

Postdoctoral fellow at Artctic University of Norway; formerly MPI CBS, Humboldt, Ghent, and Duke University External and internal attention; mind wandering; interoception and control over internal body https://samverschooren.github.io

1,302 Followers  |  556 Following  |  26 Posts  |  Joined: 26.09.2023  |  1.8217

Latest posts by samversc.bsky.social on Bluesky


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The billionaires' eugenics project: how Epstein infiltrated Harvard, muzzled the humanities and preached master-race science Edge - Jeffrey Epstein's favourite intellectual salon - was sold to me as a gathering of the world's finest minds, writes Virginia Heffernan. The files reveal it was something far darker: a decades-lo...

MUST READ:

The best synthesis I have seen so far of things I knew or had put together from various sources but had not really seen pulled together πŸ§ͺ

Importantly, I don’t think these academics were an aberration. I think a lot of scientists would have entered these circles, given the option.

15.02.2026 19:05 β€” πŸ‘ 380    πŸ” 173    πŸ’¬ 6    πŸ“Œ 13
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Adaptive episodic memory: how multiple memory representations drive behavior in humans and nonhumans | Physiological Reviews | American Physiological Society Episodic memory is a declarative long-term memory of a specific past experience. As such, it is multifaceted, encompassing both the objective and subjective components of that experience. These components can be flexibly represented at different levels of granularity, from precise, context-specific details to generalized, gistlike representations. In this review, we suggest that 1) multiple representations of an episodic memory at different levels of granularity are simultaneously encoded into a memory trace and 2) the relative weighting of these representations determines the extent to which a memory is reconstructed or reproduced at retrieval. We propose that this representational flexibility drives adaptive behavior by prioritizing reconstruction or reproduction depending on the age of the memory, its relationship to prior knowledge, current attentional goals or task demands, and individual differences. Drawing on research in humans and nonhuman animals, we show a close correspondence between psychological and neural representations of a memory across encoding, consolidation, and retrieval. Specifically, we discuss how hippocampal activity in humans and engram formation and activation in rodents support the reproduction of detailed memory representations, whereas schema formation across species, mediated by the medial prefrontal cortex, facilitates reconstruction and generalization to guide behavior. Finally, we consider how species- and individual-level differences shape episodic memory representations. By integrating findings across species, we illustrate how the correspondence between neural and psychological representations enables multiple memory representations to balance stability and flexibility, ultimately driving adaptive behavior.

How do memories guide behaviour?

Multiple memory representations, from detailed to gist-like, let us flexibly reconstruct or reproduce past experiences to behave adaptively across species.

Now out in Physiological Reviews with Morris Moscovitch, Melanie Sekeres & @brianlevine.bsky.social!

12.02.2026 19:03 β€” πŸ‘ 56    πŸ” 25    πŸ’¬ 1    πŸ“Œ 1

1. The thing about science that these jokers don't understand is that science cannot be vibe-coded.

Whatever its flaws, the point with vibe coding is that you're trying to quickly make something that sorta works, where you can immediately sorta see if it sorta works and then sorta use it.

27.01.2026 22:09 β€” πŸ‘ 967    πŸ” 286    πŸ’¬ 26    πŸ“Œ 24
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What is the brain for? Active inference is widely discussed as a unifying framework for understanding brain function, yet its empirical status remains debated. Our review identifies core predictions across the action-perception cycle and evaluates their empirical support: osf.io/preprints/ps...

29.01.2026 08:28 β€” πŸ‘ 93    πŸ” 37    πŸ’¬ 2    πŸ“Œ 1
**Part 1: From Bayesian inference to Bayesian workflow**

1. Bayesian theory and Bayesian practice
2. Statistical modeling and workflow
3. Computational tools
4. Introduction to workflow: Modeling performance on a multiple choice exam

**Part 2: Statistical workflow**

5. Building statistical models
6. Using simulations to capture uncertainty
7. Prediction, generalization, and causal inference
8. Visualizing and checking fitted models
9. Comparing and improving models
10. Statistical inference and scientific inference

**Part 3: Computational workflow**

11. Fitting statistical models
12. Diagnosing and fixing problems with fitting
13. Approximate algorithms and approximate models
14. Simulation-based calibration checking
15. Statistical modeling as software development

**Part 1: From Bayesian inference to Bayesian workflow** 1. Bayesian theory and Bayesian practice 2. Statistical modeling and workflow 3. Computational tools 4. Introduction to workflow: Modeling performance on a multiple choice exam **Part 2: Statistical workflow** 5. Building statistical models 6. Using simulations to capture uncertainty 7. Prediction, generalization, and causal inference 8. Visualizing and checking fitted models 9. Comparing and improving models 10. Statistical inference and scientific inference **Part 3: Computational workflow** 11. Fitting statistical models 12. Diagnosing and fixing problems with fitting 13. Approximate algorithms and approximate models 14. Simulation-based calibration checking 15. Statistical modeling as software development

**4. Case studies**

16. Coding a series of models: Simulated data of movie ratings
17. Prior specification for regression models: Reanalysis of a sleep study
18. Predictive model checking and comparison: Clinical trial
19. Building up to a hierarchical model: Coronavirus testing
20. Using a fitted model for decision analysis: Mixture model for time series competition
21. Posterior predictive checking: Stochastic learning in dogs
22. Incremental development and testing: Black cat adoptions
23. Debugging a model: World Cup football
24. Leave-one-out cross validation model checking and comparison: Roaches
25. Model building and expansion: Golf putting
26. Model building with latent variables: Markov models for animal movement
27. Model building: Time-series decomposition for birthdays
28. Models for regression coefficients and variable selection: Student grades
29. Sampling problems with latent variables: No vehicles in the park
30. Challenge of multimodality: Differential equation for planetary motion
31. Simulation-based calibration checking in model development workflow

**Appendices**

A. Statistical and computational workflow for Bayesians and non-Bayesians
B. How to get the most out of Bayesian Data Analysis

**4. Case studies** 16. Coding a series of models: Simulated data of movie ratings 17. Prior specification for regression models: Reanalysis of a sleep study 18. Predictive model checking and comparison: Clinical trial 19. Building up to a hierarchical model: Coronavirus testing 20. Using a fitted model for decision analysis: Mixture model for time series competition 21. Posterior predictive checking: Stochastic learning in dogs 22. Incremental development and testing: Black cat adoptions 23. Debugging a model: World Cup football 24. Leave-one-out cross validation model checking and comparison: Roaches 25. Model building and expansion: Golf putting 26. Model building with latent variables: Markov models for animal movement 27. Model building: Time-series decomposition for birthdays 28. Models for regression coefficients and variable selection: Student grades 29. Sampling problems with latent variables: No vehicles in the park 30. Challenge of multimodality: Differential equation for planetary motion 31. Simulation-based calibration checking in model development workflow **Appendices** A. Statistical and computational workflow for Bayesians and non-Bayesians B. How to get the most out of Bayesian Data Analysis

Bayesian Workflow by
Andrew Gelman, Aki Vehtari, @rmcelreath.bsky.social with @danpsimpson.bsky.social, @charlesm993.bsky.social, @yulingy.bsky.social, Lauren Kennedy, Jonah Gabry, @paulbuerkner.com, @modrakm.bsky.social, @vianeylb.bsky.social

(in production, estimated copy-editing time 6 weeks)

26.01.2026 08:18 β€” πŸ‘ 159    πŸ” 31    πŸ’¬ 3    πŸ“Œ 4
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We can do without them: how the UG is cutting ties with Big Tech By 2030, the university aims to be digitally independent. And that’s not a pipe dream, say proponents of the plan.

University of Groningen: ⭐ no more big-tech by 2030 ⭐ Google Workplace 🚫 Windows 🚫 MS Office 🚫 ChatGPT 🚫 A huge challenge! Meeting culture won't get us there. Dedication and focus will. πŸ’ͺπŸš€ Let's get to work.
ukrant.nl/magazine/we-... @rug.nl @rug-gmw.bsky.social #science

21.01.2026 15:38 β€” πŸ‘ 16    πŸ” 5    πŸ’¬ 0    πŸ“Œ 1
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From Body to Brain and Back: Multimodal Evidence for Interoceptive Alterations in Schizophrenia Spectrum Disorders When the brain and body misalign, emotional experience and sense of reality can be disrupted. Although such atypical experiences are central to schizophrenia spectrum disorders (SSD), interoception, p...

How the brain listens to the body matters.
Our new preprint investigates interoceptive processing in schizophrenia spectrum disorders across phenomenology, behavior, and heartbeat-evoked brain responses. πŸ§ πŸ«€DOI: doi.org/10.64898/202...

20.01.2026 09:40 β€” πŸ‘ 15    πŸ” 8    πŸ’¬ 0    πŸ“Œ 1

And if you want a list of the reasons that have been given for keeping Musk as FRS, there's this piece deevybee.blogspot.com/2025/02/seve...

10.01.2026 08:11 β€” πŸ‘ 30    πŸ” 13    πŸ’¬ 1    πŸ“Œ 1

With some trepidation, I'm putting this out into the world:
gershmanlab.com/textbook.html
It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class.

My hope is that this will be a living document, continuously improved as I get feedback.

09.01.2026 01:27 β€” πŸ‘ 583    πŸ” 237    πŸ’¬ 16    πŸ“Œ 10

The faster we move to value science for its practice (the critical thinking and search for knowledge, the various skills we apply) and not simply outputs via number of publications or journal prestige, the easier it will be to survive the onslaught of AI slop, probably de-funding of science too.

12.12.2025 22:43 β€” πŸ‘ 18    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
OSF

Our new preprint is out!

Using a continuous-report paradigm, we show that divided attention reliably disrupts long-term memory retrieval by reducing accessibilityβ€”not precision.

Two experiments + mixture modeling + TCC.

Link: osf.io/preprints/ps...

09.12.2025 15:56 β€” πŸ‘ 21    πŸ” 7    πŸ’¬ 1    πŸ“Œ 1
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New preprint: "Bodily Rhythms Gate Action–Perception Coupling"

Cardiorespiratory cycles gate when it's best to sense & act on the world, shaping when precision peaks

Active sensing + Interoception + Active inference 🧠

πŸ”— bit.ly/3MinQIi

w/ @micahgallen.com; Lucas Naranjo; @jameskilner.bsky.social

09.12.2025 08:13 β€” πŸ‘ 48    πŸ” 19    πŸ’¬ 3    πŸ“Œ 4
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The @springernature.com book "The Bodily Self, Emotion, and Subjective Time: Exploring Interoception through the Contributions of A.D. (Bud) Craig" is out: 22 authors, 16 chapters. Neurobiology, Psychology, Psychiatry, Neuroimaging, Musicology, Philosophy, ... link.springer.com/book/10.1007...

06.12.2025 16:34 β€” πŸ‘ 29    πŸ” 12    πŸ’¬ 2    πŸ“Œ 2
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Arctic MSCA Program 2026 is open! | UiT The annual UiT support program for applicants to EUs career program for young research talents, the Marie Sklodowska-Curie Postdoctoral Fellowship (MSCA-PF) is now open for 2026.

I can warmly recommend this Arctic MSCA program if you're considering applying for a Marie Curie fellowship, it definitely helped me to get my application funded. Feel free to get in touch if you want more info :)

uit.no/nyheter/arti...

04.12.2025 12:55 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

I'm happy to share my debut as first-author with the recent publication of our article in #JNeurosci:

www.jneurosci.org/content/earl...

Big thanks again to @tschreiner.bsky.social and the whole team who made this possible! 🧠🌬️

04.12.2025 08:09 β€” πŸ‘ 36    πŸ” 17    πŸ’¬ 0    πŸ“Œ 1

Thread of French and Dutch research institutes slowly unsubscribing from web of science (and thence impact factors).

03.12.2025 06:53 β€” πŸ‘ 78    πŸ” 35    πŸ’¬ 2    πŸ“Œ 6
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AI is Destroying the University and Learning Itself Students use AI to write papers, professors use AI to grade them, degrees become meaningless, and tech companies make fortunes. Welcome to the death of higher education.

Absolutely devastating account of the CSU's $17 million capitulation to ChatGPT, from a fellow faculty member watching it happen www.currentaffairs.org/news/ai-is-d...

03.12.2025 04:24 β€” πŸ‘ 206    πŸ” 84    πŸ’¬ 1    πŸ“Œ 30
Stylized logo of the MindBrainBody Symposium

Stylized logo of the MindBrainBody Symposium

*13th MindBrainBody Symposium*

πŸ“† Mar 9-11, 2026
🏠 #Berlin & virtual
(deadline: Jan 8, 2026)

Keynotes:
- @ulrikebingel.bsky.social
- Karl Friston (online)
- @tinalonsdorf.bsky.social
- Sonja Kotz
- Julian Thayer

...& so much more: prizes, posters, talks, food, drinks, encounters.

Let's meet!

01.12.2025 07:28 β€” πŸ‘ 39    πŸ” 29    πŸ’¬ 1    πŸ“Œ 5

I really hate it when scientists keep saying that β€œwe need to rebuild trust in science,” because it implies that scientists are to blame for the mistrust rather than the millions of dollars of dark money that have funded political attacks on science in order to advance a far right agenda.

19.11.2025 21:48 β€” πŸ‘ 14142    πŸ” 3646    πŸ’¬ 232    πŸ“Œ 159
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Very excited to introduce InteroMap, a new bodily mapping tool designed to measure how we subjectively experience our bodily sensations, what we call interoceptive phenomenology πŸ§΅πŸ‘‡

18.11.2025 22:06 β€” πŸ‘ 32    πŸ” 14    πŸ’¬ 2    πŸ“Œ 2

So happy this paper is now out in @plosbiology.org! We investigated whether fluctuations in MEPs can be explained by phasic influences from internal bodily rhythms, and whether this might happen independently per organ system.
#interoception #neuroskyence

13.11.2025 11:01 β€” πŸ‘ 63    πŸ” 27    πŸ’¬ 2    πŸ“Œ 0
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Concurrent selection of internal goals and external sensations during visual search Internal and external selection processes can codevelop in time to yield efficient search behavior.

Now out in #ScienceAdvances: @baiweiliu.bsky.social and I ask how internal (goal) and external (sensory) selection are coordinated during visual search. The key insight: internal and external selection are not inherently serial, but may develop in parallel in the human brain: doi.org/10.1126/scia...

10.11.2025 12:00 β€” πŸ‘ 66    πŸ” 22    πŸ’¬ 1    πŸ“Œ 1

#sensoryprocessingsensitivity #neuroskyence

05.11.2025 13:57 β€” πŸ‘ 23    πŸ” 6    πŸ’¬ 1    πŸ“Œ 0
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Scientists launch $14.2 million project to map the body’s β€œhidden sixth sense” Inside your body, an intricate communication network constantly monitors breathing, heart rate, digestion, and immune function β€” a hidden β€œsixth sense” called interoception. Now, Nobel laureate Ardem ...

These are great news for #interoception research www.sciencedaily.com/releases/202...

25.10.2025 23:40 β€” πŸ‘ 26    πŸ” 6    πŸ’¬ 2    πŸ“Œ 1
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πŸ“£ Out in TINS (@cp-trendsneuro.bsky.social):

Neural processing is often described as either externally or internally directed. In our new Forum article, we (@freekvanede.bsky.social & Kia Nobre) propose a multilevel framework for conceptualising external and internal continua of brain processes.

19.10.2025 07:44 β€” πŸ‘ 36    πŸ” 16    πŸ’¬ 1    πŸ“Œ 2
Logo of the MindBrainBody Symposium

Logo of the MindBrainBody Symposium

Nice things for the

**13th #MindBrainBody Symposium 2026**

happening under the hood 😊

Save the date: πŸ“† March 9-11, 2026 (Berlin and virtual)

Stay tuned for the call and announcement!

(For info about the last 12 MBBSymposia: mindbrainbody.de)

#interoception #neuroskyence

17.10.2025 09:39 β€” πŸ‘ 32    πŸ” 10    πŸ’¬ 1    πŸ“Œ 0
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TIL that Dale invented the heartbeat counting task, not Schandry, and that it was known from the very first study that people underestimated their heart rate. It was orginally called a heart rate estimation task! journals.sagepub.com/doi/pdf/10.2...

17.10.2025 04:57 β€” πŸ‘ 12    πŸ” 5    πŸ’¬ 1    πŸ“Œ 0
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Happy also to chat about our Brain-Body Analysis Special Interest Group (BBSIG) pipelines for preprocessing and analysing ECG, PPG and respiration (soon), openly available and ready-to-use with BIDS data as Jupyter Notebooks πŸ«€πŸ«

Work of +20 wonderful collaborators! ✨

πŸ“‘ Documentation: www.bbsig.de

16.10.2025 15:17 β€” πŸ‘ 16    πŸ” 6    πŸ’¬ 1    πŸ“Œ 0
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Neural sensitivity to the heartbeat is modulated by fluctuations in affective arousal during spontaneous thought Spontaneous thoughts, occupying much of one’s awake time in daily life, are often colored by emotional qualities. While spontaneous thoughts have been associated with various neural correlates, the re...

Neural sensitivity to the heartbeat is modulated by fluctuations in affective arousal during spontaneous thought

13.10.2025 07:09 β€” πŸ‘ 23    πŸ” 7    πŸ’¬ 0    πŸ“Œ 0

In some way, it's trivial:

The #brain & the rest of the #body (e.g. the #heart) are coupled.

Yet, we spelled it out
w/ A. Villringer & V. Nikulin for current scientists (below)
w/ @martager.bsky.social @agatapatyczek.bsky.social @el-rei.bsky.social for future scientists bsky.app/profile/mart...

25.09.2025 07:43 β€” πŸ‘ 51    πŸ” 20    πŸ’¬ 0    πŸ“Œ 1

@samversc is following 20 prominent accounts