Datensatz: Bähner F et al., "Abstract rule learning promotes cognitive flexibility in complex environments across species"
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Datum der Erstveröffentlichung
2025
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Deutsche Forschungsgemeinschaft (DFG): BA 5382/1-1
Deutsche Forschungsgemeinschaft (DFG): DFG BA 5382/2-2
Deutsche Forschungsgemeinschaft (DFG): DU 354/8-2
Deutsche Forschungsgemeinschaft (DFG): DU 354/14-1
Deutsche Forschungsgemeinschaft (DFG): DU 354/15-1
Deutsche Forschungsgemeinschaft (DFG): DFG BA 5382/2-2
Deutsche Forschungsgemeinschaft (DFG): DU 354/8-2
Deutsche Forschungsgemeinschaft (DFG): DU 354/14-1
Deutsche Forschungsgemeinschaft (DFG): DU 354/15-1
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Titel in einer weiteren Sprache
Publikationsstatus
Published
Zusammenfassung
Data set and code for Bähner F et al., "Abstract rule learning promotes cognitive flexibility in complex environments across species"
-Behavioral (response data, video tracking data in rats) and electrophysiological data (multiple single-unit recordings, MEG) in a multidimensional rule learning task in rats and humans
-Matlab Code: strategy detection algorithm and RL models, helper files to create figures or to prepare data for use of other toolboxes used in this study (FieldTrip: https://www.fieldtriptoolbox.org/, MVPA-Light toolbox: https://github.com/treder/MVPA-Light and Neural Decoding Toolbox: www.readout.info)
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
150 Psychologie
Schlagwörter
Cognitive neuroscience, Electrophysiology, Computational neuroscience
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ISO 690
POPOV, Tzvetan, Florian BAEHNER, Hazem TOUTOUNJI, 2025. Bähner F et al., "Abstract rule learning promotes cognitive flexibility in complex environments across species"BibTex
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<dcterms:abstract>Data set and code for Bähner F et al., "Abstract rule learning promotes cognitive flexibility in complex environments across species"
-Behavioral (response data, video tracking data in rats) and electrophysiological data (multiple single-unit recordings, MEG) in a multidimensional rule learning task in rats and humans
-Matlab Code: strategy detection algorithm and RL models, helper files to create figures or to prepare data for use of other toolboxes used in this study (FieldTrip: https://www.fieldtriptoolbox.org/, MVPA-Light toolbox: https://github.com/treder/MVPA-Light and Neural Decoding Toolbox: www.readout.info)</dcterms:abstract>
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