Comparisons of developmental modeling frameworks and levels of analysis in cognition: connectionist and dynamic systems theories deserve attention,but don’t yet explain attention

In this article, an investigator who is outside of the connectionist / dynamic systems (CD) tradition, but is sympathetic to many of its theoretical stances, considers whether these are separate approaches and what the two approaches mean for the development of information processing. It is argued that these approaches have not been defined in the target articles of this special issue narrowly enough to make them clearly separate approaches. Rather, they appear to emphasize different aspects of a common approach. It is also suggested that they do not form an overarching theory of development but do form an important theoretical approach at one level of analysis. In particular, one may sometimes, but not always, have to get into nonlinear interactions between faculties of the mind to predict and explain behavior. Finally, an attempt is made to challenge the CD approach to become more global by confronting the issue of how attention and conscious awareness should be represented in these models, and how the development of them may occur. Evidence of changes in automatic and attention-related parameters of processing may provide a scaffolding upon which better CD models can be constructed.     

Introduction

Knowledge, Technology &; Policy -     

Neural and behavioral correlates of emotion recognition in children and adults.

Event-related potentials (ERPs), accuracy scores, and reaction times were used to examine the recognition of emotional expressions. Adults and 7-year-old children saw upright and inverted chromatic slides of the facial expressions of happiness, fear, surprise, and anger, and were asked to press a button for either "happy" or "angry" faces. A positive-going waveform (P300) was apparent at parietal scalp (Pz) and at left and right temporal scalp. Although the behavioral data were similar for both children and adults (e.g., both had more difficulty recognizing angry expressions than happy ones, and angry expressions were more difficult to recognize upside-down than were happy faces), the ERPs indicated that children responded differently than adults did to happy and angry expressions. Adults showed greater P300 amplitude to happy faces, while children showed greater P300 amplitude to angry faces. In addition, for adults, but not children, there were greater P300 amplitude responses at right vs. left temporal scalp.     

Sentence encoding and implicitly activated memories

Some words have fewer direct associates than others, and, when words varying in set size are studied in a list-learning task, those with smaller sets are more likely to be recalled. This set-size effect is found in cued recall when the words are studied in the absence of related words, but not when studied in the presence of related words. Related words provide context and theoretically inhibit irrelevant associates. The present research determined that set-size effects are found when words are encoded in sentence contexts. In contrast to list-learning experiments, the results of three experiments found such effects even when lexically related words were present in the sentences. Other findings indicated that target-set-size effects were determined by the proximity of related words in the sentence and the nature of the test cue. The results are discussed in relation to a model for explaining set-size effects and to selective findings from the sentence-comprehension literature.