Parallel distributed processing and neuropsychology: A neural network model of Wisconsin card sorting and verbal fluency

Neural networks can be used as a tool in the explanation of neuropsychological data. Using the Hebbian Learning Rule and other such principles as competition and modifiable interlevel feedback, researchers have successfully modeled a widely used neuropsychological test, the Wisconsin Card Sorting Test. One of these models is reviewed here and extended to a qualitative analysis of how verbal fluency might be modeled, which demonstrates the importance of accounting for the attentional components of both tests. Difficulties remain in programming sequential cognitive processes within a parallel distributed processing (PDP) framework and integrating exceedingly complex neuropsychological tests such as Proverbs. PDP neural network methodology offers neuropsychologists co-validation procedures within narrowly defined areas of reliability and validity.     

Connectionist models of conditioning: A tutorial

Models containing networks of neuron-like units have become increasingly prominent in the study of both cognitive psychology and artificial intelligence. This article describes the basic features of connectionist models and provides an illustrative application to compound-stimulus effects in respondent conditioning. Connectionist models designed specifically for operant conditioning are not yet widely available, but some current learning algorithms for machine learning indicate that such models are feasible. Conversely, designers for machine learning appear to have recognized the value of behavioral principles in producing adaptive behavior in their creations.     

Implicit States of Connectivity in the Clinical Practice of Jungian Psychoanalysis and Andean Shamanism

This paper will describe the spiritual states of “oneness” experienced by Andean shamans in relation to oceanic states in early infancy and working with trauma in Jungian analysis. The author’s work exploring implicit energetic experience with Andean shamans will be referenced with comparisons made to depth psychology, in both theory and in practice. Definitions of Q’echua terms describing different psychic meditative states that Andean shamans enter into will be provided as Andean medicine people have a much more developed language for conceptualizing these experiences. A clinical vignette will be presented that demonstrates how the spaces of implicit connection that occur between an analyst and analysand in the analytic setting can be a catalyst for healing.     

Structural connectivity between the hippocampus and cortical/subcortical area relates to cognitive impairment in schizophrenia but not in mood disorders

Cognitive impairment in schizophrenia and other psychiatric disorders is a challenge to be overcome in order to maintain patients' quality of life and social function. The neurological pathogenesis of cognitive impairment requires further elucidation. In general, the hippocampus interacts between the cortical and subcortical areas for information processing and consolidation and has an important role in memory. We examined the relationship between structural connectivity of the hippocampus and cortical/subcortical areas and cognitive impairment in schizophrenia, major depressive disorder and bipolar disorder. Subjects comprised 21 healthy controls, 19 patients with schizophrenia, 20 patients with bipolar disorder and 18 patients with major depressive disorder. Diffusion-weighted tensor images data were processed using ProbtrackX2 to calculate the structural connectivity between the hippocampus and cortical/subcortical areas. Cognitive function was assessed using the Brief Assessment of Cognition in schizophrenia composite score. Hippocampal structural connectivity index was significantly correlated with composite score in the schizophrenia group but not in the healthy control, major depressive disorder or bipolar disorder groups. There were no statistically significant differences in hippocampal structural connectivity index between the four groups. Structural connectivity between the hippocampus and cortical/subcortical areas is suggested to be a pathophysiological mechanism of comprehensive cognitive impairment in schizophrenia.     

初中生学业成就动机量表的编制

本研究根据我国初中生的实际编制了一套测量初中生学业成就动机的自陈式量表。该量表由外部行为表现和内部心理因素两个分量表构成。行为表现分置表包括主动性、行为策略和坚持性三个子量表,心理因素分量表包括能力、兴趣、目的、知识价值观四个子量表。测题分析和测验分析的结果表明此量表具有较高的信度和效度,能用于鉴别初中生学业成就动机的水平。     

Between Intrinsic and Extrinsic Motivation: Examination of Reasons for Academic Study based on the Theory of Internalization

In contrast with the view that intrinsic and extrinsic motivation are antagonistic, the view proposed in this article is that they are anchors of a continuous variable. According to the theory set out here, intrinsic motivation develops by means of internalization. This gives rise to four types of motivation: external, introjected, identified, and intrinsic. The main purpose of this study was to construct a scale to measure these four types of motivation for academic achievement and then to examine its validity. The Stepping Motivation Scale, created by the author, was administered to 483 junior high school students. Intercorrelations among the four subscales conformed to a simplex structure, and documented a continuum from extrinsic to intrinsic motivation. To clarify the distinction among the four types of motivation, relevant variables such as causal attributions and coping behaviors in failing situations, beliefs in links between extrinsic and intrinsic motivation, and teachers' evaluation of students' motivation were related to motivation types. A difference in motivational types was exhibited in the differential patterns of correlations.     

An Ecologically Differentiated, Multifactor Model of Adolescent Network Orientation

The paper presents a test of an ecologically differentiated model of social network orientation for adolescents that distinguished between different social network reference groups (family, peers, and nonfamily adults). The model was tested in two consecutive studies. Study 1 describes initial model development (N = 120). Study 2 presents a confirmatory factor analysis with a second sample (N = 430) to replicate the factor structure developed in Study 1. Results supported a three-factor model of network orientation that differentiated between network reference groups. Analyses of concurrent and predictive validity indicated that orientation to network reference groups was differentially related to the perceived quality and frequency of support from members of respective social network groups. Group differences (gender, race) regarding network orientation to different network reference groups were consistent with studies of other social network processes. Implications for the study of the network orientation and the study of social networks more generally are discussed.