G. Elliott Wimmer

Group Leader
Max Planck UCL Centre for Computational Psychiatry and Ageing Research

Curriculum Vitae

  • BA in Cognitive Science, 2005, University of California, Berkeley
  • PhD in Psychology, 2012, Columbia University, USA

Research interests

  • The cognitive and neural mechanisms underlying value-based decision making in cognitive maps
  • The effect of spaced learning across time, from single episodes to well-learned habits
  • How learning systems may be modulated by mood, psychiatric disorders, and disease

Selected publications

Wimmer, G. E., Liu, Y., Vehar, N., Behrens, T. E. J., & Dolan, R. J. (2020). Episodic memory retrieval success is associated with rapid replay of episode content. Nature Neuroscience, 23(8), 1025–1033. https://doi.org/10.1038/s41593-020-0649-z

Wimmer, G.E., Büchel, C. (2019). Learning of distant state predictions by the orbitofrontal cortex in humans. Nature Communications, 10:2554. https://doi.org/10.1038/s41467-019-10597-z

Wimmer, G.E., Li, J.K., Gorgolewski, K.J., Poldrack, R.A. (2018). Reward learning over weeks versus minutes increases the neural representation of value. Journal of Neuroscience, 38(35): 7649-7666. https://doi.org/10.1523/JNEUROSCI.0075-18.2018

Wimmer, G. E., & Büchel, C. (2016). Reactivation of reward-related patterns from single past episodes supports memory-based decision making. Journal of Neuroscience, 36(10), 2868-2880. https://doi.org/10.1523/JNEUROSCI.3433-15.2016

Wimmer, G. E., & Shohamy, D. (2012). Preference by association: how memory mechanisms in the hippocampus bias decisions. Science, 338, 270-273. https://doi.org/10.1126/science.1223252

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