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Bernhard Pastötter

@pastotter.bsky.social

Cognitive neuroscientist at University of Technology Nuremberg. Homepage: https://www.utn.de/person/dr-bernhard-pastoetter/

28 Posts1098 Follower487 Folgt
bioDGPS and DGPA@biodgps-dgpa.bsky.social · last wk.

Neue Perspektive der Fachgruppe Biologische Psychologie und Neuropsychologie in der Psychologischen Rundschau: KI aus Sicht der biologischen Psychologie und Neuropsychologie: Grundlagen, Anwendungen, Grenzen econtent.hogrefe.com/doi/abs/10.1...

KI aus Sicht der biologischen Psychologie und Neuropsychologie: Grundlagen, Anwendungen, Grenzen: Eine Perspektive der Fachgruppe Biologische Psychologie und Neuropsychologie: Psyc...

Zusammenfassung: Die Biologische Psychologie und Neuropsychologie (BNP) untersucht die biologischen Grundlagen psychischer Prozesse – von molekularen Mechanismen bis hin zu endokrinen Regulationssyste...

econtent.hogrefe.com

Ulrich Ettinger@ulrichettinger.bsky.social · last mo.

Exciting job opportunity for a Research Group Leader to establish and lead a new OPMEG facility at the University of Bonn! karriereamukb.de/jobs/researc...

Research group leader/Head of OPMEG - Karriereamukb | Jobs & Karriere an der Uniklinik Bonn

At the newly founded Core Facility OPMEG at the Medical Faculty of the University of Bonn, the following full-time (38.5 hours/week) position is to be filled as soon as possible:   Research group lead...

karriereamukb.de

Bernhard Pastötter@pastotter.bsky.social · 2mo ago

New opinion article: Explaining SCAN connectivity and hyperconnectivity through psychological theories of perception-action binding. doi.org/10.3389/fnhu...

Frontiers | Explaining SCAN connectivity and hyperconnectivity through psychological theories of perception-action binding

Long-standing psychological theory offers a direct answer. For more than a century, ideomotor theory has proposed that perception and action rely on shared r...

doi.org

Eddie Yang@eddieyang.bsky.social · 3mo ago

New paper in Nature. The more a government controls its domestic media, the more it dominates AI training data, the more pro-regime outputs we get from AI. By scraping the open web, LLMs are unwittingly laundering state-coordinated narratives into seemingly objective answers.

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TeaP 2027 in Mannheim@teap2027.bsky.social · 3mo ago

We are excited to announce TeaP 2027 in Mannheim. We are looking forward to host this traditional great conference and to welcome experimental psychologists from all over the world next year. Follow this account for news.

International Conference On Memory 26-30 July 2027 in Glasgow@icom-memory.bsky.social · 3mo ago

We've now highlighted all our amazing confirmed keynote speakers! Please sign up to our email list as this will be the main way we will communicate. Stay tuned for news about submissions, registration, and lots more! icom-memory.org #neuroskyence #psychscisky #cognition #ICOM2027 #philosophysky 🧪

ICOM - International Conference on Memory 2027

The International Conference on Memory 2027, will be held in Glasgow, Scotland between 26 - 30 July 2027.

icom-memory.org

Mike Frank@mcxfrank.bsky.social · 3mo ago

Many of us were taught experiments are for testing hypotheses. In Ch 1 of Experimentology, our free, open methods textbook, my coauthors and I argue differently: experiments are for estimating the magnitude of causal effects. This reframing has important consequences. 🧵 experimentology.io

Dan Quintana@dsquintana.bsky.social · 3mo ago

Selecting an effect size for power analysis is hard. Many researchers fall back on Cohen's thresholds, but they have no empirical basis and vary wildly by field. Our new paper offers a better option: field-specific effect size distributions built from meta-analytic data doi.org/10.3758/s134...

Abstract Effect sizes are useful for understanding the magnitude of study results and for planning new studies via power analysis. However, despite their wide usage, effect sizes are often misinterpreted. This is mostly due to an over-reliance on general effect size benchmarks that were not intended for broad application across diverse research fields. Inaccurate effect size interpretations can lead to incorrect conclusions about the magnitude of study results and incorrect sample size estimates, thereby increasing the likelihood of false-positive results. This article introduces the ESDist R package, which is designed to calculate empirically derived effect-size benchmarks or a range of reliably detectable empirical effect sizes for a specific research question or field of interest by computing effect size distributions (ESDs). This package can be used on data that can be easily extracted from pre-existing meta-analyses to help researchers more accurately plan new studies or to better understand how an individual study might relate to other studies in their field. ESDist includes a set of features that make it easy to use in a priori power analysis. Moreover, the package includes a feature for estimating effect size benchmarks that account for publication bias and are weighted by effect sizes' variances, which addresses existing limitations of using ESDs for study planning or interpretation.