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Posts by Helen Blank

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The Obleser lab will be hiring soon!

New postdoc (fully funded) and
new PhD or part-time postdoc position (soft-money funded).

Spread the word. Start in Sept/Oct.
Watch out for official announcements!
Please be in touch.

auditorycognition.com
obleserlab.com
hoerhanse.de
lemmi.uni-luebeck.de

1 week ago 42 44 1 0

New paper out on speech perception consistency by @brianwwl.bsky.social! 👏

5 days ago 9 3 0 0

Yeah - unser SFB Podcast „Wirkstoff Wort - der Podcast für Gute Kommunikation in der Medizin ist draußen!
Hört mal rein.
Danke an das großartige Public Outreach Team des SFBs!

5 days ago 11 6 0 0
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How does the cerebellum contribute to cognitive functions? The role of the cerebellum in motor functions is well understood. But why is the same circuitry engaged in functions such as working memory, language, and social cognition? This Unsolved Mystery looks...

New Unsolved Mystery, by Jörn Diedrichsen @diedrichsenjorn.bsky.social and Samuel D. McDougle @actlab.bsky.social, published this week in PLOS Biology about the contributions of the cerebellum to cognitive function: journals.plos.org/plosbiology/...

3 weeks ago 29 8 0 0
Hallucinations, Prior Overweighting, and Glutamate Perception is not passive. It is a synthetic process, governed not only by the information incident on our sensory epithelia but also by our knowledge and prior experiences of the world, through model...

Some thoughts on @franziskaknolle.bsky.social recent paper on speech expectations, hallucinations, and glutamate: illness and chronicity may be important in understanding the role of glutamate in prior weighting www.biologicalpsychiatryjournal.com/article/S000...

3 weeks ago 7 5 0 0

New paper our from our lab led by postdoc Holly Zaharchuk, with @overhannahlyze.bsky.social , @hannahmech.bsky.social , and @mattcphillips.bsky.social We measured individual differences in sensitivity to phonetic contrasts using VAS and eyetracking 1/2

3 weeks ago 17 4 1 0
Graphical abstract showing four panels. Panel 1: a person in an MRI scanner with blue cognitive thought bubbles drifting from their head and pink body thought bubbles from their torso, with organs glowing inside. Panel 2: blue bubbles for cognitive items (Self, Words, Focus, Images, Future, Past) are larger than pink bubbles for body items (Breathing, Movement, Stomach, Heart, Skin, Bladder), with arrows showing body thoughts link to more negative and less positive emotion. Panel 3: physiological traces (EGG, ECG, respiratory) show higher arousal with body-wandering; a bar chart shows cognitive items (Past, Future, Repetitive, Vivid) correlate with more ADHD and depression symptoms while body items (Breath, Stomach, Skin, Heart) correlate with fewer.    
Panel 4: medial brain with thalamus, somatomotor cortex, and interoceptive regions highlighted, plus a chord diagram showing connectivity between these three regions.

Graphical abstract showing four panels. Panel 1: a person in an MRI scanner with blue cognitive thought bubbles drifting from their head and pink body thought bubbles from their torso, with organs glowing inside. Panel 2: blue bubbles for cognitive items (Self, Words, Focus, Images, Future, Past) are larger than pink bubbles for body items (Breathing, Movement, Stomach, Heart, Skin, Bladder), with arrows showing body thoughts link to more negative and less positive emotion. Panel 3: physiological traces (EGG, ECG, respiratory) show higher arousal with body-wandering; a bar chart shows cognitive items (Past, Future, Repetitive, Vivid) correlate with more ADHD and depression symptoms while body items (Breath, Stomach, Skin, Heart) correlate with fewer. Panel 4: medial brain with thalamus, somatomotor cortex, and interoceptive regions highlighted, plus a chord diagram showing connectivity between these three regions.

New paper in PNAS! When the mind wanders, it often drifts to the body. We call this "body-wandering". These thoughts are often negative, but are associated with reduced ADHD & depression symptoms, driven by a distinct interoceptive-allostatic brain signature. pnas.org/doi/10.1073/pnas.2520822123

3 weeks ago 113 44 6 1

Happy to share our collab EEG project with @janikabecker.bsky.social & Arjen Alink: More evidence that predictions induce subsequent sharpening and prediction error representations 🧠

3 weeks ago 7 1 0 0
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Out in @elife.bsky.social: Functional connectivity-based attractor dynamics of the human brain in rest, task, and disease doi.org/10.7554/eLif...

1 month ago 6 2 0 0
Stellenanzeigen - Georg-August-Universität Göttingen Webseiten der Georg-August-Universität Göttingen

Wir suchen Verstärkung für unser Team am Therapie- und Beratungszentrum: An der Universität Göttingen ist eine Stelle als Psychologischer Psychotherapeutin / Lehrtherapeut*in (w/m/d) ausgeschrieben – wir freuen uns über Bewerbungen!
www.uni-goettingen.de/de/644546.ht...

1 month ago 6 6 0 1
Can Systematic Drift Rate Variability Replace Random Variability in the Diffusion Decision Model?

What's the deal with drift rate variability in the Diffusion Model of decision-making? Find out in our newest publication in Computational Brain and Behaviour

Led by @jie-sun.bsky.social + @adamosth.bsky.social

Come for the slow errors, stay for the joint modelling w/ EEG

rdcu.be/e85Re

1 month ago 25 5 0 1
Noradrenaline causes a spread of association in the hippocampal cognitive map - Nature Communications When forming a cognitive map, a trade-off exists between facilitating novel inferences and storing veridical copies of past experience. Here the authors show that the neuromodulator noradrenaline sets...

Very pleased to share that our study “Noradrenaline causes a spread of association in the hippocampal cognitive map” is out in @natcomms.nature.com (my final PhD paper, only 3.5 years post PhD! 🙃)

Find the paper here: www.nature.com/articles/s41...

1 month ago 31 11 1 1
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Interested in finding out more about the topics of #treatmentexpectation and #placebo/#nocebo effects? 🤔

🔊 We collected all podcasts episodes featuring members of our CRC! 🎤

Browse all episodes here ➡️ open.spotify.com/playlist/2no...

1 month ago 3 4 0 0

Looking for a #PhD or #postdoc position on predictive processing? 🧠 Please, get in touch if you are the perfect fit to join my lab at @ruhr-uni-bochum.de

1 month ago 20 20 0 0
SC: Passing on knowledge: communication strategies for better patient care / TRR 289

Our exhibit is currently being created by the science communication team @unidue.bsky.social / @neurologieessen.bsky.social of our collaborative research center and kindly sponsored by @dfg.de 💙

More info on the project here: treatment-expectation.de/en/projects-...

1 month ago 5 2 1 0

Temporally-precise sensory encoding of predicted content, entraining motor oscillations to derive time. @akalt.bsky.social's first study out @currentbiology.bsky.social, testing parts of this idea (tinyurl.com/TiCSKaltenma...). Huge thanks @leverhulme.ac.uk ac.uk @erc.europa.eu, great work Aaron!

1 month ago 38 15 0 0
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This is cross-species research

2 months ago 3 1 1 0
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Neurobiological illness models of schizophrenia and stigma reduction: has that ship sailed? - Schizophrenia Schizophrenia - Neurobiological illness models of schizophrenia and stigma reduction: has that ship sailed?

Delighted to share our new paper on schizophrenia-related stigma. We argue that explanatory models grounded in predictive processing may offer advantages over classical neurobiological illness models in understanding psychosis — and may even help reduce stigma. www.nature.com/articles/s41...

2 months ago 23 4 1 1
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Humans can use positive and negative spectrotemporal correlations to detect rising and falling pitch Nature Human Behaviour, Published online: 09 February 2026; doi:10.1038/s41562-025-02371-7Vaziri et al. examined how humans detect changes in auditory pitch, revealing that listeners rely on correlations in sound intensity over frequency and time, processing that is reminiscent of visual motion detection.

Humans can use positive and negative spectrotemporal correlations to detect rising and falling pitch

2 months ago 15 5 0 2
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free video for intro lectures on auditory perception

2 months ago 127 26 4 3
Top left: Experimental paradigm. The authors analyzed EEG data recorded from 49 sleeping human newborns while being exposed to monophonic piano melodies composed by J. S. Bach (real condition) and control stimuli (shuffled condition). Top right: Surprise and entropy. Surprise and entropy associated with each note’s timing (green, St and Et, respectively) and pitch (yellow, Sp and Ep, respectively) were estimated using an unsupervised statistical learning model trained on all stimuli. Dot plots display mean surprise and entropy associated with real and shuffled music, averaged across melodies (left panel), and separately for each melody (right panel).  Bottom: Analytical approach. Multivariate Temporal Response Function (mTRF) models were fit to describe the forward relationship between multiple stimulus features and the EEG signal. The full TRF model (leftmost panel) included acoustic low-level features (spectral flux, acoustic onset, IOI, and IPI) and high-level features (surprise and entropy of pitch and timing).

Top left: Experimental paradigm. The authors analyzed EEG data recorded from 49 sleeping human newborns while being exposed to monophonic piano melodies composed by J. S. Bach (real condition) and control stimuli (shuffled condition). Top right: Surprise and entropy. Surprise and entropy associated with each note’s timing (green, St and Et, respectively) and pitch (yellow, Sp and Ep, respectively) were estimated using an unsupervised statistical learning model trained on all stimuli. Dot plots display mean surprise and entropy associated with real and shuffled music, averaged across melodies (left panel), and separately for each melody (right panel). Bottom: Analytical approach. Multivariate Temporal Response Function (mTRF) models were fit to describe the forward relationship between multiple stimulus features and the EEG signal. The full TRF model (leftmost panel) included acoustic low-level features (spectral flux, acoustic onset, IOI, and IPI) and high-level features (surprise and entropy of pitch and timing).

Does our very human ability to anticipate #musical structure exist at birth? @robertabianco.bsky.social @giacomonovembre.bsky.social &co show that #newborns encode #rhythmic (but not melodic) expectations based on statistical regularities in real #music @plosbiology.org plos.io/4kqKVWg

2 months ago 11 7 1 0
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When you agree to serve in a committee

2 months ago 123 15 0 2
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Die Rückkehr eines Kunstwerks Die Arbeiten am Schriftzug an den Kunstsammlungen sind abgeschlossen. Jetzt bringen LED-Buchstaben die Südseite der Universitätsbibliothek zum Leuchten.

Das Comeback, auf das wir alle gewartet haben: Die Arbeiten am Schriftzug an den Kunstsammlungen sind abgeschlossen. Jetzt strahlt das Werk von Licht- und Konzeptkünstler Mischa Kuball wieder über unseren Campus.

2 months ago 23 6 0 1
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Episodic memory facilitates flexible decision-making via access to detailed events - Nature Human Behaviour Nicholas and Mattar found that people use episodic memory to make decisions when it is unclear what will be needed in the future. These findings reveal how the rich representational capacity of episod...

Our experiences have countless details, and it can be hard to know which matter.

How can we behave effectively in the future when, right now, we don't know what we'll need?

Out today in @nathumbehav.nature.com , @marcelomattar.bsky.social and I find that people solve this by using episodic memory.

2 months ago 131 49 7 2
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How the brain predicts objects in a changing world | Radboud University In everyday life, we often encounter objects that are partially hidden or only seen from the corner of our eye. Our brain is remarkably good at keeping track of objects, and new research reveals how t...

New research from @peelen.bsky.social, shows our brain actively predicts how they should look based on the 3D structure of the environment. Even when objects are temporarily hidden from view, their expected orientation can be decoded from activity in the visual cortex. 👇

www.ru.nl/en/donders-i...

2 months ago 12 8 0 1
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Biomedical and life science articles by female researchers spend longer under review Women are underrepresented in academia, especially in STEMM fields, at top institutions, and in senior positions. This study analyzes millions of biomedical and life science articles, revealing that f...

Cost of being female lead/corresponding author in biomedical sciences: "[T]he median amount of time spent under review is 7.4%–14.6% longer for female-authored articles than for male-authored articles" even in disciplines where women well-represented. #AcademicSky

journals.plos.org/plosbiology/...

3 months ago 181 128 6 11
LinkedIn This link will take you to a page that’s not on LinkedIn

🎓Fully-funded PhD studentship in Computational Cognitive Neuroscience!!!

Join @seanfw.bsky.social and myself at @tcddublin.bsky.social for a PhD at the intersection of cutting-edge cognitive neuroscience (OPM-MEG) and neuro-AI.
🗓 Deadline: 5 Feb 2026

#neurojobs #neuroscience #compneuro

3 months ago 24 12 1 2

Our A19 PI @helenblank.bsky.social investigated the brain's predictions during speech comprehension 🗯️

Evidence from EEG shows that two mechanisms operate at different hierarchical levels during speech perception 🗣️

Super relevant work for our CRC about how communication works in the brain! 🧠 ↘️

3 months ago 7 4 0 0
Paradigm and behaviour. Left: Stimuli. Sixty word pairs were created (e.g., sea-tea) where words within a pair sounded similar and could each be associated with one of six semantic contexts (e.g., sea-tea corresponding to nature-food). To decrease clarity and to induce ambiguity, words were slightly degraded to sound like a whisper and morphed into an intermediate acoustic signal between two words from two different contexts. Morphs were validated in a separate validation experiment (see Stimulus creation). Right: EEG part one with morphed words. Trials began with a fixation cross, followed by a visual speaker cue. Morphs were presented binaurally. Participants then indicated the word they had heard by button press. Finally, feedback was given in a speaker-specific manner such that each speaker could be associated with one specific semantic context. Faces were generated using FaceGen.

Paradigm and behaviour. Left: Stimuli. Sixty word pairs were created (e.g., sea-tea) where words within a pair sounded similar and could each be associated with one of six semantic contexts (e.g., sea-tea corresponding to nature-food). To decrease clarity and to induce ambiguity, words were slightly degraded to sound like a whisper and morphed into an intermediate acoustic signal between two words from two different contexts. Morphs were validated in a separate validation experiment (see Stimulus creation). Right: EEG part one with morphed words. Trials began with a fixation cross, followed by a visual speaker cue. Morphs were presented binaurally. Participants then indicated the word they had heard by button press. Finally, feedback was given in a speaker-specific manner such that each speaker could be associated with one specific semantic context. Faces were generated using FaceGen.

#Speech comprehension relies on prediction, but does the #brain prioritize expected or unexpected info? @fabianschneider.bsky.social & @helenblank.bsky.social show that sharpening of #SensoryRepresentations & #PredictionError processes co-exist at different levels @plosbiology.org 🧪 plos.io/49kkNs0

3 months ago 9 4 0 0

How do priors influence speech processing? Do they enhance expected signals or highlight the unexpected (prediction errors)? @fabianschneider.bsky.social' s work shows: It depends!

3 months ago 15 8 0 0