dennis hernaus

@dhernaus.bsky.social

Associate prof @ Maastricht University. Neuroscience, drums & hardcore punk.

Clinical 7T gradients can go fast — but peripheral nerve stimulation (PNS) stops you at high-res fMRI. ⚡ Meet POPE 🌍: we reshape EPI pulses to dodge PNS exactly when it spikes → robust 0.3mm fMRI, seeing intracortical veins. 🧠 w/ @SiemensHealth 👉 doi.org/10.64898/202...

A key challenge for computational psychiatry is to distinguish state from trait markers and go beyond cross-sectional studies. Here we show that as paranoia waxes and wanes in patients with schizophrenia, so too do volatility priors

Biological Psychiatry@biologicalpsych.bsky.social · last wk.

Individuals with schizophrenia spectrum disorders expect greater volatility in the world, and this cognitive bias is linked to paranoia and delusion severity over time.

Pleased to announce that our work on the influence of glucose and acute stress on food craving has been accepted for publication in Comprehensive Psychoneuroendocrinology 📃 The paper will be available #OpenAccess soon! Huge shoutout to my former master student Flora Nasilowski who took the lead! 🌻

OSF

osf.io

Why do people stop pursuing goals they care about❓ Motivational deficits are among the most disabling symptoms, yet current treatments often have only modest effects. In @lillyt.bsky.social new paper, she asks if we're missing an important piece of the puzzle 🧠 #neuroscience #cogpsyc #psychscisky

Arousal shapes motivation: an integrative framework for understanding motivational deficits - Translational Psychiatry

Translational Psychiatry - Arousal shapes motivation: an integrative framework for understanding motivational deficits

nature.com

📢 Out now in PLOS Comp Biol: **cpm** — a Python library for theory-driven modelling in computational psychiatry. No scikit-learn for mechanistic cognitive models — so we built one: RL, prospect-theory & metacognition, hierarchical Bayes, and as many more as you can code 🔗 doi.org/10.1371/jour...

cpm: A python library for theory-driven modelling in computational psychiatry

Author summary Computational psychiatry is a field that makes extensive use of computational methods to understand mental health. In this field and related disciplines, there is a strong need to desig...

doi.org

📢PhD job alert! A exciting PhD project that involves using MEG and biophysical modelling to try to predict effects of a glutamatergic treatment for psychosis... plus you can develop your own side project. Join our great team! www.ucl.ac.uk/work-at-ucl/...

UCL – University College London

UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).

ucl.ac.uk

Correlating brain maps across datasets is everywhere in neuroimaging. Here we ask: when you contextualize a brain map against genes, metabolism, or connectivity... What can you really conclude? How can we do better? We explore these questions here: tinyurl.com/2dudkevc

Opportunities and pitfalls of data contextualization in neuroimaging - Nature Reviews Neuroscience

Despite rapid exploitation of the opportunities that contextualization of brain maps affords, potential limitations have received little attention. In this Roadmap, Royer et al. provide practical guid...

tinyurl.com

Simulator of the following (attentional) models: 🔎 Rescorla-Wagner 🔎 Pearce-Kaye-Hall 🔎 Mackintosh Extended 🔎 Le Pelley’s Hybrid 🔎 Rescorla-Wagner with a unified variable learning rate (integrating Mackintosh’s and Pearce and Hall’s quasi-opposing conceptualisations). github.com/cal-r/PALMS-...

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Esther Mondragón@e-mondragon.bsky.social · 6mo ago

New preprint and simulator of associative learning attentional models. Have fun! 👁️ arxiv.org/abs/2602.07519 cal-r.org/index.php?id... #simulation #associative_learning #attention