Associate Professor, University of Groningen
Depts. of Experimental Psychology & Statistical Methods and Psychometrics
All behavior takes place in time. My general research goal is to understand how cognitive processing is influenced by temporal constraints, how temporal patterns extracted from human behavior can be used in applied settings to improve personalization of artificial systems, and how the brain keeps track of time.
Although I use many different methods, from functional magnetic resonance imaging (fMRI), electroencephalography (EEG), pupil dilation, and behavioral studies to behavioral genetics using drosophila, the goal of all these approaches to inform formal models of temporal cognition. Depending on the purpose, these formal models can take the form of higher level mathematical (e.g., drift diffusion or linear-ballistic accumulator models), symbolic process (ACT-R based) models, the combination of both, or neurobiological modeling of low-level biological processes underlying time perception.
In addition to my work on temporal cognition, I have a keen interest in developing new methods for studying human cognition. For example, together with my colleagues I have developed new methods for model-based neuroscience, methods to assess whether behavior is driven by competing strategies in cognitive tasks, algorithms to deconvolve the pupillary response, and I have developed new apparatus and methods to do behavioral, cognitive experiments with drosophila.
Although often not ackowledged, in many experimental tasks time plays an important role, if only because participants need to balance speed and accuracy. But temporal aspects also influence the nature of human performance, for example when one type of information is available earlier than another type (e.g., picture-word interference studies), when one needs to switch tasks in the context of sequential multi-tasking (e.g., glances in rear-view mirror), or when the speed of an incoming speech-signal determines how much time is available for language processing. In all these cases, temporal constraints can be seen as an additional source of cognitive control.
If one aims for precise descriptions of behavior, research cannot suffice with qualitative descriptions of these tasks as an exact duration is needed when one wants to predict the interference between to sources of information. Therefore, my work focusses on building detailed computational process models that take into account all relevant aspects of the task at hand - not just the decision stage.
This principle is used in the fact-learning method "SlimStampen" which is based on the memory theories of the ACT-R cognitive architecture. If, during a learning session, a to-be-learned item can be recalled fast and effortlessly, this item is probably stored well enough in memory. Therefore, learning time can better be spent on other items, and one can delay revisiting this item. On the other hand, if the correct answer was only provided after a long delay, this item should be revisted soon, because it apparently is not well stored yet.The "SlimStampen" has been used at three different Universities in the Netherlands, at special-needs education centers in Portugal, Ireland and The Netherlands, and has been tested at many secondary education schools. As of academic year 2014/2015, the "SlimStampen" system will be offered to all students using the online learning system of Noordhoff Publishers, a major Dutch publishing house of secondary education materials.
Given the importance of time for accurate cognitive performance, it is striking to realize that it is still not known where the "clock" can be found in the brain that drives interval timing, the name for time perception at the (hundreds of) milliseconds to minutes range.
The best known information processing models of interval timing assume that an internal pacemaker generates pulses that can be integrated in an accumulator. By reading out how many pulses have accumulated, the system can have a sense of how much time has passed. If the system has to recreate the same interval, it can restart the accumulation process and wait until the same amount of pulses is accumulated.
Although this theory is very attractive because of its simplicity and face-value validity, decades of research have not been able to pinpoint the pacemaker. Even more, although EEG studies claimed to have located the "accumulator", work from my lab has demonstrated that the observed phenomena are at best an epiphenomena of time.
My work has therefore focussed on alternative accounts on interval timing, in which the source of time might be associated to other cognitive functions, such as working memory updates. To test some of these ideas, I collaborate with Drosophila experts at the research school of Behavioral and Cognitive Neurosciences and the University Medical Center Groningen to unravel the genetic bases of interval timing using fruitflies as a model animal.
Nevertheless, even though research has not settled on the neural substrate of interval timing, part of my work also focusses on the functional descriptions of interval timing and on the real-life applications and consequences of deviations between subjective and objective time.
Over the years, my work has been supported by grants from:
Granting agencies that have specifically sponsored conferences that I have (co-)organized are:
Last updated: Oct 2014, Hedderik van Rijn
* Nominated for Teacher of Year award at the department of Artificial Intelligence.
* Adversarial collaboration paper accepted at JEP:General.
* Paper on oscillation-driven timing accepted in Neuroscience & Biobehavioral Reviews
* EEG-network oscillation paper in Frontiers in Human Neuroscience
* EU Horizon 2020 Grant has been awarded! Will be looking for new lab members soon.