Explaining the behaviour of random ecological networks: the stability of the microbiome as a case of integrative pluralism

Synthese - Explaining the behaviour of ecosystems is one of the key challenges for the biological sciences. Since 2000, new-mechanism has been the main model to account for the nature of scientific...     

Learning Orthographic Structure With Sequential Generative Neural Networks

Learning the structure of event sequences is a ubiquitous problem in cognition and particularly in language. One possible solution is to learn a probabilistic generative model of sequences that allows making predictions about upcoming events. Though appealing from a neurobiological standpoint, this approach is typically not pursued in connectionist modeling. Here, we investigated a sequential version of the restricted Boltzmann machine (RBM), a stochastic recurrent neural network that extracts high‐order structure from sensory data through unsupervised generative learning and can encode contextual information in the form of internal, distributed representations. We assessed whether this type of network can extract the orthographic structure of English monosyllables by learning a generative model of the letter sequences forming a word training corpus. We show that the network learned an accurate probabilistic model of English graphotactics, which can be used to make predictions about the letter following a given context as well as to autonomously generate high‐quality pseudowords. The model was compared to an extended version of simple recurrent networks, augmented with a stochastic process that allows autonomous generation of sequences, and to non‐connectionist probabilistic models (n‐grams and hidden Markov models). We conclude that sequential RBMs and stochastic simple recurrent networks are promising candidates for modeling cognition in the temporal domain.     

Modification and psychometric evaluation of the Peterson War Scale

A measure on attitudes toward war was administered to 125 student participants at a California university to assess psychometric properties for this scale for possible use in current research. A 5-point scale was substituted for the 2-point one originally. Item analysis indicated 23 of 32 items were viable. Using Cronbach reliability coefficient alpha and factor analysis, the shortened measure had an internal consistency reliability of .85. Factor analysis yielded a 4-factor structure: (1) War is Bad, (2) War is Necessary, (3) Positive Aspects of War, and (4) No Justification. These results indicate this seemingly outdated measure of war attitudes remains useful for current research purposes involving measuring attitudes toward war. However, longitudinal research is necessary.     

Processing valence and intensity of infant expressions: the roles of expertise and gender

Several studies have provided evidence of a women's better accuracy in interpreting emotional states. Despite this difference is generally ascribed to the primary role of female gender in the affective relation with the offspring, to date, little information is available regarding gender differences in the ability to interpret infant facial expressions. In the present study, we examined the roles of gender and expertise in interpreting infant expression in 34 men and women who differed in their experience with infants. Women showed a significantly higher level of decoding accuracy compared to men. Expertise positively affected facial expressions decoding among women only. Our results suggest that in judging emotional facial expressions of infants, there is an interaction of biological (i.e., gender) and cultural factors that is independent of a woman's socioeconomic status.     

Patterns of adaptation in obsessive-compulsive disorder: multivariate indicators of greater variability and linear change compared to controls

Patterns of adaptation to conflict in persons with Obsessive-Compulsive Disorder were assessed with the Serial Color-Word Test. Obsessive-Compulsive patients (n=50) were compared with an age- and sex-matched group of nonclinical volunteers. Measures of linear and nonlinear change in reading times during each of the five consecutive trials of the test were compared between groups by means of a multivariate model with doubly repeated measures. The multivariate analysis yielded a significant between-groups result (Wilks Lambda = .76, p < .001), mainly supported by higher values of nonlinear change in the Obsessive-Compulsive group. Thus, the discriminative ability of the Serial Color-Word Test was confirmed when individual differences were removed from the error term.     

Effects of A Dual-Task Intervention in Postural Control and Cognitive Performance in Adolescents

Abstract

The aim was to assess dual- versus single-task training for motor performance and cognitive performance in adolescents. Two experiments were performed. In the first, 30 adolescents were randomized to three groups to determine the effect of dual-task difficulty on postural control: α-scaling and root mean square (RMS). In the second, 20 adolescents were randomized to two groups to determine the effect of dual-task practice to improve working memory. RMS in the post-test was lower than the pre-test in both dual-task groups, while α-scaling was lower in post-test than pre-test only in the high-difficulty dual-task group. A practice effect was observed on the percentage of correct answers only in the dual-task group (p?=?0.035). Thus, dual-task training could enhance motor and cognitive performance more than single-task training.     

A question of intention in motor imagery

We examined the question—is the intention of completing a simulated motor action the same as the intention used in processing overt actions? Participants used motor imagery to estimate distance reachability in two conditions: Imagery-Only (IO) and Imagery-Execution (IE). With IO (red target) only a verbal estimate using imagery was given. With IE (green target) participants knew that they would actually reach after giving a verbal estimate and be judged on accuracy. After measuring actual maximum reach, used for the comparison, imagery targets were randomly presented across peripersonal- (within reach) and extrapersonal (beyond reach) space. Results indicated no difference in overall accuracy by condition, however, there was a significant distinction by space; participants were more accurate in peripersonal space. Although more research is needed, these findings support an increasing body of evidence suggesting that the neurocognitive processes (in this case, intention) driving motor imagery and overt actions are similar.     

Six Factors Fostering Protest: Predicting Participation in Locally Unwanted Land Uses Movements

In two studies we analyzed the predictors of participation in an Italian Lulu mobilization, rooted in the Susa Valley, a North-Western Italian valley where a high speed railway (HSR) should be sited. Based on the data of qualitative Study 1, performed interviewing 12 anti-HSR militants and 12 non anti-HSR militants, we hypothesized that Klandermans' (1997) model on participation (centered on group identification, sense of injustice, and collective efficacy) is suitable to predict the Lulu mobilization we studied, and that three contextual variables (community involvement, the perception of the existence of a vast majority in the community favoring the mobilization, and place attachment) may be added to Klandermans' to predict such a mobilization. We formally tested such hypotheses in quantitative Study 2 (representative sample of the people living in the Susa Valley, N =  250). Results supported the role of Klandermans' (1997) variables and confirmed the influence exerted by our contextual variables, thus suggesting that an integration of the two models would be fruitful in the analysis of Lulu mobilizations. Limits and future developments of this research are discussed.