Author

Daniel J. Schad

HMU Health and Medical UniversityORCID 0000-0003-2586-6823Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:electronic health records· 1

Frequent Co-Authors

Milena RabovskyiD· 2 shared Alessandro LopopoloiD· 1 shared Björn MederiD· 1 shared Laura Ann WirthiD· 1 shared Nassim Sadedin· 1 shared Rasha Abdel RahmaniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 5 mutual co-author links

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2 shared papersNeuroscience

Milena RabovskyORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintMar 9, 2026

Beyond model-free Pavlovian responding: a two-stage Pavlovian-instrumental transfer paradigm

Laura Ann Wirth, Nassim Sadedin, Björn Meder, Daniel J. Schad

The paper introduces a two-stage PIT paradigm to dissociate model-free and model-based Pavlovian responding, finding that model-based strategies dominate and are influenced by attentional states.

DOI 10.64898/2026.03.06.710018

statistical modelbenchmarking

𝕏 PostBluesky

NeurosciencebioRxivPreprintJun 3, 2025

Interindividual differences in predicting words versus sentence meaning:Explaining N400 amplitudes using large-scale neural network models

Milena Rabovsky, Alessandro Lopopolo, Daniel J. Schad

The paper investigates how individuals differ in predicting sentence meaning versus upcoming words using neural network models to explain N400 amplitudes.

DOI 10.1101/2025.06.03.657727

statistical modelbenchmarking

𝕏 PostBluesky

NeuroscienceJournal of Experimental Psychology Learning Memory and CognitionPeer-reviewedOct 22, 2020

Semantic richness and density effects on language production: Electrophysiological and behavioral evidence

Milena Rabovsky, Daniel J. Schad, Rasha Abdel Rahman

The paper investigates how semantic richness and density affect language production through behavioral and electrophysiological measures, finding facilitatory and inhibitory effects respectively.

20 citations

electronic health recordsstatistical model

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