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The term "predictive brain" depicts one of the most relevant concepts in cognitive neuroscience which emphasizes the importance of "looking into the future", namely prediction, preparation, anticipation, prospection or expectations in various cognitive domains. Analogously, it has been suggested that predictive processing represents one of the fundamental(More)
Identifying and evaluating events which are novel in a particular environment is crucially important for adaptive behavior. These events are often not just novel, as they typically violate expectations which may be formulated based on numerous features of our surroundings, one of which includes the ordinal structure (temporal order) of relevant stimuli.(More)
Setting perceptual expectations can be based on different sources of information that determine which functional networks will be involved in implementing preparatory top-down influences and dealing with situations in which expectations are violated. The goal of the present study was to investigate and directly compare brain activations triggered by(More)
Identifying novel or unexpected events which violate predictions based on the regularities extracted from our environment is crucially important for adaptive behavior. However, the exact dynamics of processing such events is not well understood. Furthermore, it is not known in which degree the process of deviant detection differs across contexts and how(More)
Algebra typically represents the students' first encounter with abstract mathematical reasoning and it therefore causes significant difficulties for students who still reason concretely. The aim of the present study was to investigate the developmental trajectory of the students' ability to solve simple algebraic equations. 311 participants between the ages(More)
Processing perceptual sequences relies on the motor system, which is able to simulate the dynamics of the environment by developing internal representations of external events and using them to predict the incoming stimuli. Although it has previously been demonstrated that such models may incorporate predictions based on exact stimulus properties and single(More)
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