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Cognitive modeling

Expertise: Cognitive modeling

Human and animal minds and brains are among the most complex entities studied in science. Descriptive approaches are insufficient to deal with this complexity; instead theories about cognitive processes and how they are supported in brain structures must be realized in mathematical or computational form, or both, in order to be truly testable and capable of predictions that make them useful in applications.

Our expertise lies in developing, implementing and evaluating cognitive models, particularly in regard to learning and memory, and the quick decision tasks, such as perceptual, language and values attributes. These models are used to test performance across disciplines such as experimental psychology, marketing and the neurosciences. Alternative application areas are as diverse as clinical psychology, consumer choice and human-machine interaction. 


  • ARC Discovery Project (2012-2014, DP120102907) Rapid decisions: From neuroscience to complex cognitions.
  • ARC Discovery Project and Professorial Fellowship (2011-2015, DP110100234) Choice Models for Learning and Memory.
  • ARC Discovery Project (2015-2019, DP150100272) Developing a Unified Theory of Episodic Memory
  • ARC Discovery Project (2016-2018, submitted) Modelling Human Decision Making in Complex Environments.


  • Mathematical model
  • Response time
  • Decision making
  • Learning
  • Memory
  • LBA
  • Diffusion model
  • Evidence accumulation model