Neurally inspired algorithms of human cognition and problem solving

Explore the neural basis of cognitive processes related to problem solving and creative thinking, using realistic neural models of cortical function.

Computational modelling has an important part to play in answering questions about creativity and cognition. In this project, I am using biologically inspired neurocomputational models to investigate the cognitive processes and possible neural mechanisms underlying intelligent behaviour, specifically focussing on memory manipulations in problem solving tasks.


University of Waterloo, Canada (12 months: Cogntive Modelling)

Project ended

Ivana Kajić started a new position at CNRG (University Waterloo) in August 2016.

Research Fellow
Ivana Kajic

Thomas Wennekers, Giorgio Ganis (Plymouth University), Haline Schendan, Terry Stewart (University of Waterloo)

Further Reading
  • Garagnani, M.; Wennekers, T.; Pulvermuller, F. (2008). A neuroanatomically grounded Hebbian-learning model of attention-language interactions in the human brain. European Journal of Neuroscience 27, 492-513.doi:10.1111/j.1460-9568.2008.06015.x
  • Schendan, H.E. and Ganis, G. (2012). Electrophysiological potentials reveal cortical mechanisms for mental imagery, mental simulation, and grounded (embodied) cognition. Frontiers in Psychology doi:10.3389/fpsyg.2012.00329