Peter Kraemer

Peter Kraemer

PhD candidate in Decision Neuroscience 


Research Interests

  • Neural and cognitive underpinnings of memory and decision making processes
  • Oranization of semantic memory systems

Current Projects

  • The neuro-cognitive foundations of memory-based decisions
  • The virtue of response time models for semantic similarity judgments
  • Single- vs. dual process theories of memory-based decision making


  • 2017-present:            PhD student, University of Basel
  • 2014-2017:          M.Sc. in Neural & Behavioral Sciences, Graduate Training Centre for Neuroscience (IMPRS) at the University of Tübingen
  • 2010-2014:          B.Sc. in Psychology, University of Bamberg

Work experience

  •  2015-2017:          Student researcher at the Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research
  •  2015-2016:          Lab Rotation at the Neural Information Processing group, University of Tübingen
  •  2011-2013:          Student researcher at the Department for Experimental Psychology, University of Bamberg


  • Kraemer, PM, Fontanesi, L, Spektor, MS, & Gluth, S. (2020). Response time models separate single- and dual-process accounts of memory-based decisions. Psychonomic Bulletin & Review. DOI: 10.3758/s13423-020-01794-9.
  • Weilbächer, RA, Kraemer, PM, & Gluth, S (in press). The reflection effect in memory-based decisions. Psychological Science.
  • Kraemer PM, Goerner, M, Ramezanpour, H, Dicke, P & Thier, P (2020). Frontal, parietal and temporal brain areas are differentially activated when disambiguating potential objects of joint attention. eNeuro. DOI: 10.1523/ENEURO.0437-19.2020
  • Kraemer, PM, Weilbächer RA, Fontanesi, L & Gluth, S (2020). Neural Bases of Financial Decision Making: From Spikes to Large-Scale Brain Connectivity. In Zaleskiewicz & Traczyk, (eds.). Psychological Perspectives on Financial Decision Making. Springer.


  • Projektseminar: Empirisches Projektseminar I & II
  • Seminar: Current Topics in Decision Making and Economic Psychology
  • Tutorial: Functional Neuroanatomy (University of Tübingen)