Bridging computational approaches to speech production: The semantic–lexical–auditory–motor model (SLAM)

Speech production is studied from both psycholinguistic and motor-control perspectives, with little interaction between the approaches. We assessed the explanatory value of integrating psycholinguistic and motor-control concepts for theories of speech production. By augmenting a popular psycholinguistic model of lexical retrieval with a motor-control-inspired architecture, we created a new computational model to explain speech errors in the context of aphasia. Comparing the model fits to picture-naming data from 255 aphasic patients, we found that our new model improves fits for a theoretically predictable subtype of aphasia: conduction. We discovered that the improved fits for this group were a result of strong auditory–lexical feedback activation, combined with weaker auditory–motor feedforward activation, leading to increased competition from phonologically related neighbors during lexical selection. We discuss the implications of our findings with respect to other extant models of lexical retrieval.     

Exploring the Use of Experience Sampling to Assess Episodic Thought

Mental time travel is the ability to mentally relive events in one's own past (episodic recall) and pre‐live potential personal future events (episodic foresight). Recent research has used experience sampling to reveal when and how often we think about the past and future in everyday life; however, it remains unclear how much of thought is episodic, involving the sense of self that underpins mental time travel. In this study, we investigate the use of experience sampling to assess the frequency of episodic past and future thought in everyday life. Participants (n = 214) were exposed to 20 short message service prompts over 1 or 2 days. Half of thoughts were sited in the present; of the remainder, future‐oriented thoughts were more frequent than past‐oriented thoughts. Participants reported 20% of thoughts as episodic. This study suggests that experience sampling methodology can provide a means of assessing episodic thought during everyday activities.Copyright © 2016 John Wiley & Sons, Ltd.     

Applications Of Paraconsistency In Data And Knowledge Bases

The study of paraconsistent logic as a branch of mathematics and logic has been pioneered by Newton da Costa. With the growing advent of distributed and often inconsistent databases over the last ten years, there has been growing interest in paraconsistency amongst researchers in databases and knowledge bases. In this paper, we provide a brief survey of work in paraconsistent databases and knowledge bases affected by Newton da Costa's important and lasting contributions to the field.     

Gender differences in false memory production

The present study investigated differences in false memory production between men and women, using the Deese/Roedgier McDermott (DRM) paradigm. Five word lists were used (MAN, GIRL, BREAD, BLACK, HIGH) and it was predicted that males would produce more false memories for the MAN word list while females will produce more false memories for the GIRL word list. Results did not confirm our predictions. Gender was neither a significant main effect, nor did it interact with any factors. Test and List x Test were the only significant main or interaction effects, respectively. Results are discussed as they relate to gender differences in cognitive processing.     

Still no phonological typicality effect on word reading time (and no good explanation of one, either): a rejoinder to Farmer, Monaghan, Misyak, and Christiansen

In this brief rejoinder, we respond to Farmer, Monaghan, Misyak, and Christiansen (2011). We argue that the data still do not support the claim that reading time is affected by the phonological typicality of a word for its part of speech. We also question Farmer et al.'s claim that interleaving syntactic structures in an experiment modifies grammatically based syntactic expectations.     

Genetic architecture of context processing in late middle age: more than one underlying mechanism

Studies comparing young and older adults suggest a deficit in processing context information as a key mechanism underlying cognitive aging. However, the genetic architecture of context processing has not been examined. Consistent with previous results, we found evidence of functionally dissociable components of context processing accuracy in 1127 late middle-aged twins ages 51-60. One component emphasizes use of context cues to prepare responses (proactive cognitive control), and the other emphasizes adjustment of responses after probes are presented (reactive control). Approximately one-quarter of the variance in each component was accounted for by genes. Multivariate twin analysis indicated that genetic factors underlying two important components of context processing were independent of one another, thus implicating more than one underlying mechanism. Slower reaction time (RT) on noncontext processing trials was positively correlated with errors on the strongly proactive control component on which young adults outperform older adults, but RT was negatively correlated with errors on the strongly reactive control component on which older adults perform better. Although this RT measure was uncorrelated with chronological age in our age-homogeneous sample, slower RT was associated with performance patterns that were more like older adults. However, this did not generalize to other processing speed measures. Genetic correlations, which reflect shared genetic variance, paralleled the phenotypic correlations. There was also a positive genetic correlation between general cognitive ability and accuracy on the proactive control component, but there were still mostly distinct genetic influences underlying these measures. In contrast, the reactive control component was unrelated to general cognitive ability.     

Prevalence of DSM-IV borderline personality disorder in two community samples: 6,330 English 11-year-olds and 34,653 American adults

This study had two main objectives. The first was to assess the prevalence of DSM-IV borderline personality disorder and its constituent symptoms in a community sample of late-latency children. The second was to compare these rates to those found in a community sample of American adults. A birth cohort of 6,330 11-year-old children in Bristol, England, was interviewed concerning borderline psychopathology in 2002-2004. A community sample of 34,653 American adults was interviewed about borderline psychopathology in 2004-2005. Rates of chronic emptiness, physically self-damaging acts, and stormy relationships were very similar in both samples (<2% difference). However, a significantly higher percentage of children than adults reported being angry and moody. In contrast, a significantly higher percentage of adults than children reported being paranoid/dissociated, having a serious identity disturbance, being impulsive, and making frantic efforts to avoid abandonment. In addition, a significantly higher percentage of adults than children met DSM-IV criteria for BPD (5.9% vs. 3.2%). Statistically significant but clinically minor gender differences were also found between girls and boys as well as men and women. Taken together, the results of this study suggest that late-latency children are about half as likely as adults to meet DSM-IV criteria for BPD. They also suggest that gender does not play a defining role in symptom expression.     

Examining classification criteria: a comparison of three cut score methods

This study compared 3 different methods of creating cut scores for a screening instrument, T scores, receiver operating characteristic curve (ROC) analysis, and the Rasch rating scale method (RSM), for use with the Behavioral and Emotional Screening System (BESS) Teacher Rating Scale for Children and Adolescents (Kamphaus & Reynolds, 2007). Using the BESS norm data set, we compared the methods across 7 classification indices. Additional information about accuracy was used with a subset of children who had been given a prior diagnosis for selected disorders. The results showed that the methods were generally in concordance, with similarities identified across methods. RSM and ROC analysis methods performed similarly, with both methods identifying the same optimal cut-point. The method based on T scores appeared to be more conservative, identifying a lower cut score as optimal.