G. Elliott Wimmer

Fellow
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. (in press). Episodic memory retrieval success is associated with rapid replay of episode content. bioRxiv preprint, doi:10.1101/758185

Wimmer, G.E., Büchel, C. (2019). Learning of distant state predictions by the orbitofrontal cortex in humans. Nature Communications, 10:2554. doi: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. doi: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. doi: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. doi:10.1126/science.1223252

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