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Search: authors:"Peter C. M. Molenaar"

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Person-Specific Non-shared Environmental Influences in Intra-individual Variability: A Preliminary Case of Daily School Feelings in Monozygotic Twins

Yao Zheng, Peter C. M. Molenaar, Rosalind Arden, Kathryn Asbury, and David M. Almeida declare that they have no conflict of interest. Human and Animal Rights and Informed Consent All families provided

Models of Postural Control: Shared Variance in Joint and COM Motions

This paper investigated the organization of the postural control system in human upright stance. To this aim the shared variance between joint and 3D total body center of mass (COM) motions was analyzed using multivariate canonical correlation analysis (CCA). The CCA was performed as a function of established models of postural control that varied in their joint degrees of freedom ...

Erratum to: The effects of foot position and orientation on inter- and intra-foot coordination in standing postures: a frequency domain PCA analysis

. Newell Department of Kinesiology, The Pennsylvania State University , 23 Rec Building, University Park, PA 16802 , USA author's initials were published incorrectly. The correct name should read as Peter C ... . M. Molenaar and not Peter

Organizing Heterogeneous Samples Using Community Detection of GIMME-Derived Resting State Functional Networks

Clinical investigations of many neuropsychiatric disorders rely on the assumption that diagnostic categories and typical control samples each have within-group homogeneity. However, research using human neuroimaging has revealed that much heterogeneity exists across individuals in both clinical and control samples. This reality necessitates that researchers identify and organize ...

Characterizing sequence knowledge using online measures and hidden Markov models

INGMAR VISSER 0 MAARTJE E. J. RAIJMAKERS 0 PETER C. M. MOLENAAR 0 0 University of Amsterdam , Amsterdam, The Netherlands What knowledge do subjects acquire in sequence-learning experiments? How can

A framework for ML estimation of parameters of (mixtures of) common reaction time distributions given optional truncation or censoring

CONOR V. DOLAN 0 HAN L. J. VAN DER MAAS 0 PETER C. M. MOLENAAR 0 0 University of Amsterdam , Amsterdam, The Netherlands We present a framework for distributional reaction time (RT) analysis, based

Finite mixture distribution models of simple discrimination learning

Through the application of finite mixture distribution models, we investigated the existence of distinct modes of behavior in learning a simple discrimination. The data were obtained in a repeated measures study in which subjects aged 6 to 10 years carried out a simple discrimination learning task. In contrast to distribution models of exclusively rational learners or exclusively ...