DR Stefan Bode

DR Stefan Bode


  • Cognitive Neuroscience (fMRI, EEG, TMS, multivariate pattern classification analysis (MVPA))
  • decision-making (preference formation, health decisions, volutary decision-making, perceptual decisions, change-of-mind)



  • I studied psychology at the University of Goettingen, Germany (working with Prof Thomas Rammsayer), and the University of Zurich, Switzerland (working with Prof Lutz Jaencke). Subsequently, I worked at the University Clinic Goettingen in medical psychology (with Prof Nicole von Steinbuechel). I received my PhD in psychology/cognitive neuroscience from the Max Planck Institute for Human Cognitive and Brain Sciences Leipzig / University of Leipzig, Germany, in 2010, supervised by Prof John-Dylan Haynes. In 2010, I moved to Melbourne, Australia, and worked with Prof Gary Egan at the Florey Neuroscience Institutes, before taking up a Postdoctoral Research Fellowship at the Melbourne School of Psychological Sciences (MSPS) at the University of Melbourne in 2011, collaborating with Prof Philip Smith. During this time I co-founded the interdisciplinary Decision Neuroscience Lab. Since 2014, I am a Lecturer at MSPS and an Australian Research Council (ARC) Discovery Early Career Research Award (DECRA) fellow. In 2016, I became Senior Lecturer at MSPS, and I am currently finishing my 'Habilitation' at the University of Cologne, Germany (with Prof Jutta Stahl). My research focuses on the investigation of the cognitive and neural mechanisms underlying perceptual, health-related, and voluntary decision-making, as well as decision errors, change-of-mind and preference formation.   


Selected publications


Investigator on

Additional Grant Information

  • - Laham S, Smillie L, Bode S, Kashima Y. (2016). Enlightened Compassion: Psychological, Behavioral, and Physiological Profiles. The Beacon Project Psychology Funding Competition.
    - Keage H, Loetscher T, Bode S. (2016). Judging every day risks: From brain function to behaviour. University of South Australia URIPA Project Grant.
    - Bode S, Hester R. (2015). Decoding change-of-mind decisions and errors from brain activity in humans. Australian Research Council (ARC) Discovery Project Grant.
    - Bode S, Murawski C. (2015). The neural encoding of stimulus attributes that bias financial decision-making. FBE/MDHS Collaboration Seed Funding, UoM.
    - Bode S, Laham S, Murawski C. (2014). The neural basis of moral decision-making. Melbourne Neuroscience Institute (MNI) Interdisciplinary Seed Funding Grant, UoM.
    - Bode S. (2013). Decoding unstable decision preferences from brain activity. Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA).
    - Bode S, Murawski C, Smith PL. (2012). Decoding preference reversals in economic decision-making from brain activity. MNI Project Grant, UoM.
    Murawski C, Bode S, Grundy B. (2011). The neural basis of financial decision making. Faculty of Business and Economics Strategic Initiatives Grant, UoM.
    - Bode S. (2012). Decoding multiple object decision making from brain signals. Early Career Researcher (ECR) Grant, UoM.
    - Bode S, Sewell D, Murawski C, Smith PL. (2011). The neural encoding of threshold decisions. MNI Project Grant, UoM.   


Education and training

  • P.D., University of Cologne 2017
  • Dr.rer.nat, Universitaet Leipzig 2010
  • Dipl.-Psych., University of Goettingen 2005
  • Interm.Dipl.(Psych), University of Goettingen 2002



Available for supervision

  • Y

Supervision Statement

  • Students in the Decision Neuroscience Lab will work with neuroimaging techniques such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). Projects relate to questions concerning decision-making, preference formation and change-of-mind. We use a diverse set of analysis techniques, including the application of multivariate pattern classification analysis (MVPA). For Honours projects, a strong interest in data analysis and cognitive neuroscience is desirable, and for PhD/Masters projects, prior experience with neuroimaging data analysis and basic MATLAB skills are desirable. Please visit our website (dlab.unimelb.edu.au) for more information.