Effects of Music Training on Attention,Processing Speed and Cognitive Music Abilities—Findings from a Longitudinal Study

The present study addresses visual attention and processing speed in primary school children (N = 345; 7–8 years of age) who received either music (MC) or natural science training (NC) over a period of 18 months. Dependent variables were collected three times (T1–T3) and included measures for processing speed, visual attention and cognitive music abilities. They were submitted to latent or manifest change models including socioeconomic status and basic cognitive functions as covariates. Groups performed similarly in all dependent tasks at baseline (T1). MC showed significant increases in processing speed as well as in music abilities from T2 to T3 and increases in rhythmic abilities from T1 to T2. Although MC also showed increases in both processing speed and visual attention over time, they were at a small advantage with respect to the former and at a clear disadvantage with respect to the latter measure as compared to NC. Copyright © 2014 John Wiley & Sons, Ltd.     

Inter‐category versus intra‐category fit: when social categories match social context

The goal of the research reported in this article was to examine whether social categorization, commonly thought to be a function of accessibility and intra‐category fit, is also sensitive to changes in inter‐category fit. Intra‐category fit refers to the match between a target person's features and stored categorical knowledge, inter‐category fit to the extent to which category memberships and targets' features covary across perceived group members. In Experiments 1, 2, and 3, members of social categories of low, medium, and high accessibility, respectively, were shown in a group discussion. Inter‐category fit was manipulated in three steps. Category salience in memory increased as an additive function of accessibility and inter‐category fit. Experiment 4 replicated the effects of inter‐category fit while intra‐category fit and the information presented for individual discussants were held constant. The present studies are the first to demonstrate an effect of inter‐category fit on a relatively direct measure of spontaneous social categorization. Copyright © 2004 John Wiley & Sons, Ltd.     

A powers theory of modality: or,how I learned to stop worrying and reject possible worlds

Possible worlds, concrete or abstract as you like, are irrelevant to the truthmakers for modality—or so I shall argue in this paper. First, I present the neo-Humean picture of modality, and explain why those who accept it deny a common sense view of modality. Second, I present what I take to be the most pressing objection to the neo-Humean account, one that, I argue, applies equally well to any theory that grounds modality in possible worlds. Third, I present an alternative, properties-based theory of modality and explore several specific ways to flesh the general proposal out, including my favored version, the powers theory. And, fourth, I offer a powers semantics for counterfactuals that each version of the properties-based theory of modality can accept, mutatis mutandis. Together with a definition of possibility and necessity in terms of counterfactuals, the powers semantics of counterfactuals generates a semantics for modality that appeals to causal powers and not possible worlds.     

Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks

A novel modular connectionist architecture is presented in which the networks composing the architecture compete to learn the training patterns. An outcome of the competition is that different networks learn different training patterns and, thus, learn to compute different functions. The architecture performs task decomposition in the sense that it learns to partition a task into two or more functionally independent tasks and allocates distinct networks to learn each task. In addition, the architecture tends to allocate to each task the network whose topology is most appropriate to that task. The architecture's performance on “what” and “where” vision tasks is presented and compared with the performance of two multilayer networks. Finally, it is noted that function decomposition is an underconstrained problem, and, thus, different modular architectures may decompose a function in different ways. A desirable decomposition can be achieved if the architecture is suitably restricted in the types of functions that it can compute. Finding appropriate restrictions is possible through the application of domain knowledge. A strength of the modular architecture is that its structure is well suited for incorporating domain knowledge.