scispace - formally typeset
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.

Papers
More filters
Journal ArticleDOI

Dyslexia Heterogeneity: Cognitive Profiling of Portuguese Children with Dyslexia.

TL;DR: In this paper, the authors used hierarchical cluster analysis to group participants according to their phonological awareness, rapid automatized naming, verbal short-term memory, vocabulary, and nonverbal intelligence abilities.
Journal ArticleDOI

Instruction-specific brain activations during episodic encoding. a generalized level of processing effect.

TL;DR: The levels-of-processing (LOP) effect using visual material in a behavioral and a corresponding PET study is investigated and it is suggested that the anterior medial superior frontal region is related to aspects of self-referential semantic processing and the inferior parts of the anterior cingulate as well as the medial orbitofrontal cortex are related to affective processing.

Artificial grammar learning and neural networks

TL;DR: It is concluded that statistical frequency-based and rule-based acquisition procedures can be viewed as complementary perspectives on grammar learning, and more generally, that classical cognitive models can be views as a special case of a dynamical systems perspective on information processing.
Journal ArticleDOI

Implicit structured sequence learning: An fMRI study of the structural mere-exposure effect

TL;DR: This paper investigated the effect of 5 days of implicit acquisition on preference classification by means of an artificial grammar learning (AGL) paradigm based on the structural mere-exposure effect and preference classification using a simple right-linear unification grammar.