A5002073624- Neural and Behavioral Psychology Studies
- Mind wandering and attention
- Mental Health Research Topics
- Neurotransmitter Receptor Influence on Behavior
- Neurobiology of Language and Bilingualism
- Statistical Methods and Bayesian Inference
- Bayesian Modeling and Causal Inference
- Reading and Literacy Development
- Topic Modeling
- EEG and Brain-Computer Interfaces
- Gaze Tracking and Assistive Technology
- Memory and Neural Mechanisms
- Behavioral Health and Interventions
- Sleep and Wakefulness Research
- Explainable Artificial Intelligence (XAI)
- Statistical Methods and Inference
- Functional Brain Connectivity Studies
- Cognitive Abilities and Testing
- Meta-analysis and systematic reviews
- Statistical Methods in Clinical Trials
- Psychological and Temporal Perspectives Research
- Computational and Text Analysis Methods
- Academic and Historical Perspectives in Psychology
- Multi-Criteria Decision Making
- Advanced Text Analysis Techniques
University of Potsdam
2012-2025
HMU Potsdam – Health and Medical University Potsdam
2021-2025
Tilburg University
2020-2022
Charité - Universitätsmedizin Berlin
2014-2020
Humboldt-Universität zu Berlin
2018
Freie Universität Berlin
2018
University of Applied Sciences Potsdam
2017
Orthopädische Universitätsklinik
2016
University of Cambridge
2015
Eppendorf (Germany)
2015
Factorial experiments in research on memory, language, and other areas are often analyzed using analysis of variance (ANOVA). However, for effects with more than one numerator degrees freedom, e.g., experimental factors two levels, the ANOVA omnibus F-test is not informative about source a main effect or interaction. Because researchers typically have specific hypotheses which condition means differ from each other, priori contrasts (i.e., comparisons planned before sample known) between...
Experiments in research on memory, language, and other areas of cognitive science are increasingly being analyzed using Bayesian methods. This has been facilitated by the development probabilistic programming languages such as Stan, easily accessible front-end packages brms. The utility methods, however, ultimately depends relevance model, particular whether or not it accurately captures structure data analyst's domain expertise. Even with powerful software, analyst is responsible for...
Inferences about hypotheses are ubiquitous in the cognitive sciences. Bayes factors provide one general way to compare different by their compatibility with observed data. Those quantifications can then also be used choose between hypotheses. While an immediate approach hypothesis testing, they highly sensitive details of data/model assumptions and it's unclear whether computational implementation (such as bridge sampling) unbiased for complex analyses. Here, we study how misbehave under...
Replication and the reported crises impacting many fields of research have become a focal point for sciences. This has led to reforms in publishing, methodological design reporting, increased numbers experimental replications coordinated across laboratories. While replication is rightly considered an indispensable tool science, financial resources researchers’ time are quite limited. In this perspective, we examine different values attitudes that scientists can consider when deciding whether...
<b><i>Background:</i></b> Human and animal work suggests a shift from goal-directed to habitual decision-making in addiction. However, the evidence for this human alcohol dependence is as yet inconclusive. <b><i>Methods:</i></b> Twenty-six healthy controls 26 recently detoxified alcohol-dependent patients underwent behavioral testing with 2-step task designed disentangle response patterns. <b><i>Results:</i></b>...
In detoxified alcohol-dependent patients, alcohol-related stimuli can promote relapse. However, to date, the mechanisms by which contextual relapse have not been elucidated in detail. One hypothesis is that such directly stimulate motivation drink via associated brain regions like ventral striatum and thus alcohol seeking, intake Pavlovian-to-Instrumental-Transfer (PIT) may be one of those behavioral phenomena contributing relapse, capturing how Pavlovian conditioned (contextual) cues...
Assumptions on the allocation of attention during reading are crucial for theoretical models eye guidance. The zoom lens model postulates that attentional deployment can vary from a sharp focus to broad window. is closely related foveal load hypothesis, i.e., assumption perceptual span modulated by difficulty fixated word. However, these important concepts cognitive research have not been tested quantitatively in movement models. Here we show model, implemented SWIFT saccade generation,...
When the mind wanders, attention turns away from external environment and cognitive processing is decoupled perceptual information. Mind wandering usually treated as a dichotomy (dichotomy-hypothesis), often measured using self-reports. Here, we propose levels of inattention hypothesis, which postulates attentional decoupling to graded degrees at different hierarchical processing. To measure during reading introduce sustained stimulus task (SAST), based on psychophysics error detection....
Large language models (LLMs) are being increasingly incorporated into scientific workflows. However, we have yet to fully grasp the implications of this integration. How should advancement large affect practice science? For opinion piece, invited four diverse groups scientists reflect on query, sharing their perspectives and engaging in debate. Schulz et al. make argument that working with LLMs is not fundamentally different from human collaborators, while Bender argue often misused...
Previous studies that have examined the relationship between implicit and explicit motive measures consistently found little variance overlap both types of regardless thematic content domain (i.e., power, achievement, affiliation). However, this independence may be artifactual because primary means measuring motives—content-coding stories people write about picture cues—are incommensurable with motives: having individuals fill out self-report scales. To provide a better test presumed...
Theories of decision-making and its neural substrates have long assumed the existence two distinct competing valuation systems, variously described as goal-directed versus habitual, or, more recently based on statistical arguments, model-free model-based reinforcement-learning. Though both been shown to control choices, cognitive abilities associated with these systems are under ongoing investigation. Here we examine link abilities, find that individual differences in processing speed covary...
<b><i>Background:</i></b> Pavlovian processes are thought to play an important role in the development, maintenance and relapse of alcohol dependence, possibly by influencing usurping ongoing behavior. The influence pavlovian stimuli on behavior is paradigmatically measured pavlovian-to-instrumental transfer (PIT) tasks. These involve multiple stages complex. Whether increased PIT involved human dependence uncertain. We therefore aimed establish validate a modified...
Abstract Alcohol dependence is a mental disorder that has been associated with an imbalance in behavioral control favoring model‐free habitual over model‐based goal‐directed strategies. It as yet unknown, however, whether such reflects predisposing vulnerability or results consequence of repeated and/or excessive alcohol exposure. We, therefore, examined the association consumption and 188 18‐year‐old social drinkers two‐step sequential decision‐making task while undergoing functional...
How is reading development reflected in eye-movement measures? does the perceptual span change during initial years of instruction? Does parafoveal processing require competence basic word-decoding processes? We report data from first cross-sectional measurement German beginning readers (n = 139), collected context large longitudinal PIER (Potsdamer Intrapersonale Entwicklungsrisiken/Potsdam study intra-personal developmental risk factors) intrapersonal factors. Using moving-window paradigm,...
Bayesian linear mixed-effects models (LMMs) and analysis of variance (ANOVA) are increasingly being used in the cognitive sciences to perform null hypothesis tests, where a that an effect is zero compared with alternative exists different from zero. While software tools for Bayes factor tests easily accessible, how specify data model correctly often not clear. In approaches, many authors use aggregation at by-subject level estimate factors on aggregated data. Here, we simulation-based...
In response to the replication and confidence crisis across various empirical disciplines, ensuring validity of research has gained attention. High is crucial for obtaining replicable robust study outcomes when both exploring new questions replicating previous findings. this study, we aimed address issue by developing a comprehensive checklist assist researchers in enhancing monitoring their research. After systematically analyzing findings on validity, list potential items was compiled....
Abstract Behavioral choice can be characterized along two axes. One axis distinguishes reflexive, model-free systems that slowly accumulate values through experience and a model-based system uses knowledge to reason prospectively. The second Pavlovian valuation of stimuli from instrumental actions or stimulus–action pairs. This results in four many possible interactions between them, with important consequences for accounts individual variation. We here explored whether variation one was...
Alcohol-related cues acquire incentive salience through Pavlovian conditioning and then can markedly affect instrumental behavior of alcohol-dependent patients to promote relapse. However, it is unclear whether similar effects occur with alcohol-unrelated cues. We tested 116 early-abstinent 91 healthy controls who completed a delay discounting task assess choice impulsivity, Pavlovian-to-instrumental transfer (PIT) paradigm employing both alcohol-related stimuli. To modify behavior, we tiled...
Abstract Much work has shown that differences in the timecourse of language processing are central to comparing native (L1) and non-native (L2) speakers. However, estimating onset experimental effects data presents several statistical problems including multiple comparisons autocorrelation. We compare approaches tackling these illustrate them using an L1-L2 visual world eye-tracking dataset. then present a bootstrapping procedure allows not only estimation effect onset, but also temporal...
Abstract We discuss an important issue that is not directly related to the main theses of van Doorn et al. ( Computational Brain and Behavior , 2021) paper, but which frequently comes up when using Bayesian linear mixed models: how determine sample size in advance running a study planning Bayes factor analysis. adapt simulation-based method proposed by Wang Gelfand Statistical Science 193–208, 2002) for factor-based design analysis, demonstrate relatively complex hierarchical models can be...