Bernhard Spitzer
Leiter der Forschungsgruppe Adaptive Gedächtnis- und Entscheidungsprozesse
Kontakt:
E-Mail: spitzer@mpib-berlin.mpg.de
Forschungsinteressen
- Arbeitsgedächtnis
- Entscheidungsfindung
- Lernprozesse
- Zahlenverarbeitung
- Neuronale Oszillationen
Vita
2022-now Research Group Leader Adaptive Memory and Decision Making, MPIB Berlin
2020-2022 Senior Research Scientist at ARC, MPIB Berlin
2018-2019 Research Scientist at ARC, MPIB Berlin
2016-2017 DFG Research Fellow, Department of Experimental Psychology, University of Oxford, UK
2013-2015 DFG-Projektleiter, Freie Universität Berlin
Funding
2022-2027 DFG Heisenberg Programme (SP 1510/7-1; role: PI)
2022-2026 ERC Consolidator Grant (ERC-COG-2020, DeepStore; role: PI)
2021-2024 DFG research grant (SP 1510/6-1; role: PI)
2018-2018 DFG return stipend (SP 1510/3-1; declined)
2016-2017 DFG research fellowship (SP 1510/2-1; role: fellow)
2013-2015 DFG research grant (SP 1510/1-1; role: PI)
Ausgewählte Publikationen
Linde-Domingo, J., Spitzer, B. (2024). Geometry of visuospatial working memory information in miniature gaze patterns. Nature Human Behaviour, 8, 336–348
Appelhoff, S., Hertwig, R., Spitzer, B. (2023). Control over sampling boosts numerical evidence processing in human decisions from experience. Cerebral Cortex, 33, 207-221.
Ciranka, S., Linde-Domingo, J., Padezhki, I., Wicharz, C., Wu, CM., Spitzer, B. (2022). Asymmetric learning facilitates human inference of transitive relations. Nature Human Behaviour, 6, 555–564.
Juechems, K*., Balaguer, J.*, Spitzer, B.*, Summerfield, C.* (2021). Optimal utility and probability functions for agents with finite computational precision. PNAS, 118(2), e2002232118.
Kang, Z., Spitzer, B. (2021). Concurrent visual working memory bias in sequential integration of approximate number. Scientific Reports, 11, 5348 (2021)
Luyckx, F., Nili, H., Spitzer, B.*, Summerfield, C.* (2019). Neural structure mapping in human probabilistic reward learning. eLife, e42816
Spitzer, B., Waschke, L., Summerfield, C. (2017). Selective overweighting of larger magnitudes during noisy numerical comparison. Nature Human Behaviour, 0145 (2017).
Spitzer, B. & Haegens, S. (2017). Beyond the Status Quo: A Role for Beta Oscillations in Endogenous Content (Re-) Activation. eNeuro, 0170-17.2017
Christophel, T. B., Klink, P. C., Spitzer, B., Roelfsema, P. R., & Haynes, J.-D. (2017). The Distributed nature of working memory. Trends in Cognitive Sciences, 21, 111–124.
Spitzer, B., Blankenburg, F., Summerfield, C. (2016). Rhythmic gain control during supramodal integration of approximate number. Neuroimage, 129, 470-479.
Spitzer, B., Fleck, S., Blankenburg, F. (2014). Parametric alpha- and beta-band signatures of supramodal numerosity information in human working memory. Journal of Neuroscience, 34, 4293-4302.
Spitzer, B., Blankenburg, F. (2011). Stimulus-dependent EEG activity reflects internal updating of
tactile working memory in humans. PNAS, 108, 8444-8449.