HiPerCog group studies, and aims to develop a theory of, High Performance Cognition (HPC). A key tenet of HPC is that it arises through learning of a demanding dynamic task. HiPerCog works on projects studying skill learning in a range of tasks, including games, programming, and neurofeedback. HiPerCog also develops methods for measurement of behaviour, psychophysiology, and brain imaging.
Mind & Matter

HiPerCog group's core funding comes from the Academy of Finland, as a part of the University of Helsinki profiling area 'Mind & Matter - Foundations of Information, Intelligence and Consciousness'.

This profiling area considers how interacting with technology affects humans, and how to develop human-friendly AI technologies, by understanding the subjective, objective, and experiential nature of human intelligence, consciousness, and their neural underpinnings.

HiPerCog's Mind & Matter subproject, with funding for one post-doc, one PhD student, and lab development, reflects this with a focus on human learning using computational cognitive neuroscience methods.


The project GUESSED (Grappling with Uncertainty in Environments Signaling Spurious Experiential Decisions) employs one post-doc and one PhD student. GUESSED is funded by Nordforsk, with partners from Norway and Sweden, including Arctic University of Tromsø, and University of Umeå. The project is led by Center of Avalanche Research and Education.

In GUESSED we study decision making in a highly-demanding natural environment, avalanche terrain. We work with world-leading experts to elicit their expertise and create ML models to help non-experts structure their decision making process as an expert would.

Learning in ADHD

HiPerCog studies electroencephalographic (EEG) neural correlates of cognitive attention deficits in adults diagnosed with attention-deficit/hyperactivity disorder (ADHD); and aims to translate the findings to evidence-based neurofeedback (NFB) treatment.

It is important to establish falsifiable hypotheses of the neurocognitive mechanisms specific and unique to ADHD, which can help us identify biomarkers to supplement current subjective diagnostic practice. Knowledge of neurocognitive mechanisms of ADHD can also help develop alternatives to pharmacological treatment, such as NFB.