I am Richárd Reichardt, a cognitive neuroscientst, member of the Cognitive Neuroscience workshop of the School of Psychology. Since cognitive neuroscience attempts to explain psychological phenomena on the level of biological processes, it is of utmost importance that students understand the relationships between different levels of explanation. This approach is vital for experimental psychology, but useful for clinical psychology too. My courses focus on binding together the behavioral, cognitive and biological ideas on the functioning of the mind and the brain.
Richárd Reichardt
Head of the Center for Cognitive Neuroscience
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Scientific (PhD) degrees
Budapest University of Technology and Economics - Doctoral School of Psychology - PhD
Degrees in higher education
Eötvös Loránd University Faculty of Science - Biology BSc - 2015
Budapest University of Technology and Economics - Cognitive science MSc - 2017
Previous affiliations
Institute of Experimental Medicine - Undergraduate student - 2013-2015
Budapest University of Technology and Economics - PhD student - 2017-202X
Awards
National Scientific Students' Associations Conference Section of General Psychology - 2nd place - 2016
Spoken languages
English - Intermediate
German - Basic
Az idegtudomány áttörései
Vitás kérdések az agykutatásban
Featured publications
Novelty Manipulations, Memory Performance, and Predictive Coding: the Role of Unexpectedness
Richárd Reichardt, Bertalan Polner, Péter Simor (2020)
In: Frontiers in Human Neuroscience
Novelty is central to the study of memory, but the wide range of experimental manipulations aimed to reveal its effects on learning produced inconsistent results. The novelty/encoding hypothesis suggests that novel information undergoes enhanced encoding and thus leads to benefits in memory, especially in recognition performance; however, recent studies cast doubts on this assumption. On the other hand, data from animal studies provided evidence on the robust effects of novelty manipulations on the neurophysiological correlates of memory processes. Conceptualizations and operationalizations of novelty are remarkably variable and were categorized into different subtypes, such as stimulus, context, associative or spatial novelty. Here, we summarize previous findings about the effects of novelty on memory and suggest that predictive coding theories provide a framework that could shed light on the differential influence of novelty manipulations on memory performance. In line with predictive coding theories, we emphasize the role of unexpectedness as a crucial property mediating the behavioral and neural effects of novelty manipulations.
Expectation of irrelevant novel stimuli has no consistent effect on recognition memory
Richárd Reichardt, Péter Simor, Bertalan Polner (2022)
In: Scandinavian Journal of Psychology
Novelty is defined as the part of an experience that is not yet represented by memory systems. Novelty has been claimed to exert various memory-enhancing effects. A pioneering study by Wittmann et al. (2007) has shown that memory formation may even benefit from the expectation of novelty. We aimed to replicate this assumed memory effect in four behavioral studies. However, our results do not support the idea that anticipated novel stimuli are more memorable than unexpected novelty. In our experiments, we systematically manipulated the novelty predicting cues to ensure that the expectations were correctly formed by the participants, however, the results showed that there was no memory enhancement for expected novel pictures in any of the examined indices, thus we could not replicate the main behavioral finding of Wittmann et al. (2007). These results call into question the original effect, and we argue that this fits more into current thinking on memory formation and brain function in general. Our results are more consistent with the view that unexpected stimuli are more likely to be retained by memory systems. Predictive coding theory suggests that unexpected stimuli are prioritized by the nervous system and this may also benefit memory processes. Novel stimuli may be unexpected and thus recognized better in some experimental setups, yet novelty and unexpectedness do not always coincide. We hope that our work can bring more consistency in the literature on novelty, as educational methods in general could also benefit from this clarification.
The graded novelty encoding task: Novelty gradually improves recognition of visual stimuli under incidental learning conditions
Richárd Reichardt, Bertalan Polner, Péter Simor (2022)
In: Behavior Research Methods
It has been argued that novel compared to familiar stimuli are preferentially encoded into memory. Nevertheless, treating novelty as a categorical variable in experimental research is considered simplistic. We highlight the dimensional aspect of novelty and propose an experimental design that manipulates novelty continuously. We created the Graded Novelty Encoding Task (GNET), in which the difference between stimuli (i.e. novelty) is parametrically manipulated, paving the way for quantitative models of novelty processing. We designed an algorithm which generates visual stimuli by placing colored shapes in a grid. During the familiarization phase of the task, we repeatedly presented five pictures to the participants. In a subsequent incidental learning phase, participants were asked to differentiate between the “familiars” and novel images that varied in the degree of difference to the familiarized pictures (i.e. novelty). Finally, participants completed a surprise recognition memory test, where the novel stimuli from the previous phase were interspersed with distractors with similar difference characteristics. We numerically expressed the differences between the stimuli to compute a dimensional indicator of novelty and assessed whether it predicted recognition memory performance. Based on previous studies showing the beneficial effect of novelty on memory formation, we hypothesized that the more novel a given picture was, the better subsequent recognition performance participants would demonstrate. Our hypothesis was confirmed: recognition performance was higher for more novel stimuli. The GNET captures the continuous nature of novelty, and it may be useful in future studies that examine the behavioral and neurocognitive aspects of novelty processing.