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  1.  36
    On the Validity of Simulating Stagewise Development by Means of PDP Networks: Application of Catastrophe Analysis and an Experimental Test of Rule‐Like Network Performance.Maartje E. J. Raijmakers, Sylvester Koten & Peter C. M. Molenaar - 1996 - Cognitive Science 20 (1):101-136.
    This article addresses the ability of Parallel Distributed Processing (PDP) networks to generate stagewise cognitive development in accordance with Piaget's theory of cognitive epigenesis. We carried out a replication study of the simulation experiments by McClelland (1989) and McClelland and Jenkins (1991) in which a PDP network learns to solve balance scale problems. In objective tests motivated from catastrophe theory, a mathematical theory of transitions in epigenetical systems, no evidence for stage transitions in network performance was found. It is concluded (...)
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  2.  37
    On the Validity of Simulating Stagewise Development by Means of PDP Networks: Application of Catastrophe Analysis and an Experimental Test of Rule‐Like Network Performance.Maartje E. J. Raijmakers, Sylvester von Koten & Peter C. M. Molenaar - 1996 - Cognitive Science 20 (1):101-136.
    This article addresses the ability of Parallel Distributed Processing (PDP) networks to generate stagewise cognitive development in accordance with Piaget's theory of cognitive epigenesis. We carried out a replication study of the simulation experiments by McClelland (1989) and McClelland and Jenkins (1991) in which a PDP network learns to solve balance scale problems. In objective tests motivated from catastrophe theory, a mathematical theory of transitions in epigenetical systems, no evidence for stage transitions in network performance was found. It is concluded (...)
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  3.  84
    Examining the Dynamic Structure of Daily Internalizing and Externalizing Behavior at Multiple Levels of Analysis.Aidan G. C. Wright, Adriene M. Beltz, Kathleen M. Gates, Peter C. M. Molenaar & Leonard J. Simms - 2015 - Frontiers in Psychology 6:162698.
    Psychiatric diagnostic covariation suggests that the underlying structure of psychopathology is not one of circumscribed disorders. Quantitative modeling of individual differences in diagnostic patterns has uncovered several broad domains of mental disorder liability, of which the Internalizing and Externalizing spectra have garnered the greatest support. These dimensions have generally been estimated from lifetime or past-year comorbidity patters, which are distal from the covariation of symptoms and maladaptive behavior that ebb and flow in daily life. In this study, structural models are (...)
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  4.  57
    Implications for behavior genetics research: No shared environment left?Dorret I. Boomsma & Peter C. M. Molenaar - 1991 - Behavioral and Brain Sciences 14 (3):389-389.
  5.  90
    Evolutionary theory and the social sciences.Robert L. Burgess & Peter C. M. Molenaar - 2007 - Behavioral and Brain Sciences 30 (1):20-21.
    Gintis's article is an example of growing awareness by social scientists of the significance of evolutionary theory for understanding human nature. Although we share its main point of view, we comment on some disagreements related to levels of behavioral analysis, the explanation of social cooperation, and the ubiquity of inter-individual differences in human decision-making. (Published Online April 27 2007).
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  6.  52
    A phase transition between localist and distributed representation.Peter C. M. Molenaar & Maartje E. J. Raijmakers - 2000 - Behavioral and Brain Sciences 23 (4):486-486.
    Bifurcation analysis of a real-time implementation of an ART network, which is functionally similar to the generalized localist model discussed in Page's manifesto shows that it yields a phase transition from local to distributed representation owing to continuous variation of the range of inhibitory connections. Hence there appears to be a qualitative dichotomy between local and distributed representations at the level of connectionistic networks conceived of as instances of nonlinear dynamical systems.
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  7.  32
    Estimating the actual subject-specific genetic correlations in behavior genetics.Peter C. M. Molenaar - 2012 - Behavioral and Brain Sciences 35 (5):373-374.
    Generalization of the standard behavior longitudinal genetic factor model for the analysis of interindividual phenotypic variation to a genetic state space model for the analysis of intraindividual variation enables the possibility to estimate subject-specific heritabilities.
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  8.  32
    Latent variable models are network models.Peter C. M. Molenaar - 2010 - Behavioral and Brain Sciences 33 (2-3):166-166.
    Cramer et al. present an original and interesting network perspective on comorbidity and contrast this perspective with a more traditional interpretation of comorbidity in terms of latent variable theory. My commentary focuses on the relationship between the two perspectives; that is, it aims to qualify the presumed contrast between interpretations in terms of networks and latent variables.
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  9.  68
    Neural constructivism or self-organization?Peter C. M. Molenaar & Han L. J. van der Maas - 2000 - Behavioral and Brain Sciences 23 (5):783-784.
    Three arguments are given to show that neural constructivism lacks an essential ingredient to explain cognitive development. Based on results in the theory of adaptive signal analysis, adaptive biological pattern information and self-organization in nonlinear systems of information processing, it is concluded that neural constructivism should be further extended to accommodate the occurrence of phase transitions generating qualitative development in the sense of Piaget.
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  10.  96
    Psychophysical dualism from the point of view of a working psychologist.Peter C. M. Molenaar - 2006 - Erkenntnis 65 (1):47-69.
    Cognitive neuroscience constitutes the third phase of development of the field of cognitive psychophysiology since it was established about half a century ago. A critical historical overview is given of this development, focusing on recurring problems that keep frustrating great expectations. It is argued that psychology has to regain its independent status with respect to cognitive neuroscience and should take psychophysical dualism seriously. A constructive quantum physical model for psychophysical interaction is presented, based on a new stochastic interpretation of the (...)
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  11.  35
    How to decide whether a neural representation is a cognitive concept?Maartje E. J. Raijmakers & Peter C. M. Molenaar - 1995 - Behavioral and Brain Sciences 18 (4):641-642.
    A distinction should be made between the formation of stimulus-driven associations and cognitive concepts. To test the learning mode of a neural network, we propose a simple and classic input-output test: the discrimination shift task. Feed-forward PDP models appear to form stimulus-driven associations. A Hopfield network should be extended to apply the test.
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  12.  26
    The empirical detection of creativity.Han L. J. van der Maas & Peter C. M. Molenaar - 1994 - Behavioral and Brain Sciences 17 (3):555-555.
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  13.  20
    Socioemotional Dynamics of Emotion Regulation and Depressive Symptoms: A Person-Specific Network Approach.Xiao Yang, Nilam Ram, Scott D. Gest, David M. Lydon-Staley, David E. Conroy, Aaron L. Pincus & Peter C. M. Molenaar - 2018 - Complexity 2018:1-14.
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  14.  41
    Person-specific non-shared environmental influences in intraindividual variability: a preliminary case of daily school feelings in monozygotic twins.Yao Zheng, Peter C. M. Molenaar, Rosalind Arden, Kathryn Asbury & David M. Almeida - unknown
    Most behavioural genetic studies focus on genetic and environmental influences on inter-individual phenotypic differences at the population level. The growing collection of intensive longitudinal data in social and behavioural science offers a unique opportunity to examine genetic and environmental influences on intra-individual phenotypic variability at the individual level. The current study introduces a novel idiographic approach and one novel method to investigate genetic and environmental influences on intra-individual variability by a simple empirical demonstration. Person-specific non-shared environmental influences on intra-individual variability (...)
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