K
Karl Magnus Petersson
Researcher at Max Planck Society
Publications - 187
Citations - 15557
Karl Magnus Petersson is an academic researcher from Max Planck Society. The author has contributed to research in topics: Artificial grammar learning & Semantic memory. The author has an hindex of 63, co-authored 185 publications receiving 14441 citations. Previous affiliations of Karl Magnus Petersson include Chinese Academy of Sciences & Karolinska Institutet.
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Journal ArticleDOI
The right hippocampus participates in short-term memory maintenance of object–location associations
Carinne Piekema,Carinne Piekema,Roy P. C. Kessels,Rogier B. Mars,Rogier B. Mars,Karl Magnus Petersson,Guillén Fernández,Guillén Fernández +7 more
TL;DR: The present results suggest a hippocampal involvement in active maintenance when feature combinations that include spatial information have to be maintained online.
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Tickling Expectations: Neural Processing in Anticipation of a Sensory Stimulus
TL;DR: The overlapping pattern of change, during the somatosensory stimulation and the anticipation, furthers the idea that predictions are subserved by a neuronal network similar to that which subserves the processing of actual sensory input.
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Isolating the retrieval of imagined pictures during episodic memory: activation of the left precuneus and left prefrontal cortex.
Brian Nils Lundstrom,Brian Nils Lundstrom,Karl Magnus Petersson,Karl Magnus Petersson,Jesper L. R. Andersson,Mikael Johansson,Peter Fransson,Martin Ingvar +7 more
TL;DR: The results suggest that episodic source memory is related to a functional network including the posterior precuneus and the left lateral prefrontal cortex that is activated during explicit retrieval of imagined pictures and results from the retrieval of item-context associations.
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Rapid Automatized Naming and Reading Performance: A Meta-Analysis.
Susana Araújo,Susana Araújo,Alexandra Reis,Karl Magnus Petersson,Karl Magnus Petersson,Luís Faísca +5 more
TL;DR: This article conducted a meta-analysis of the evidence on the relationship between rapid automatized naming (RAN) and reading performance and found that RAN contributes to the four measures of reading (word reading, text reading, non-word reading and reading comprehension), but higher coefficients emerged in favor of real word reading and text reading.
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Statistical limitations in functional neuroimaging. II. Signal detection and statistical inference.
TL;DR: Some aspects of signal detection theory relevant to FNI and, in addition, some common approaches to statistical inference used in FNI are discussed; low-pass filtering in relation to functional-anatomical variability and some effects of filtering on signal detection of interest to F NI are discussed.