TRACX (French, Addyman, & Mareschal, 2011) is a recursive connectionist system that implicitly extracts chunks from sequence data. It can account for experiments on infant statistical learning and adult implicit learning, as well as realworld phoneme data, and an experiment using backward transitional probabilities that simple recurrent networks cannot account for. One criticism of TRACX, howev...

Positive and negative symptoms of schizophrenia have been differentially associated with irregularities in verbal production, suggesting the involvement of different underlying mechanisms in psychotic symptomatology. In view of that, the present investigation examined whether the amount of verbal production would be also differentially associated with negative and positive symptoms of psychomet...

We propose a general, unified account of masked and long-term priming, based on the assumption that prime events create a memory resource that can be recruited to assist with subsequent target processing. This account is contrasted with the classical account of priming, in which it is assumed that a prime proactively creates a temporary change in the cognitive system (e.g., through spreading ac...

Lexical decision and pronunciation experiments were conducted to investigate whether activation automatically spreads beyond directly associated concepts within the memory network. Prime-target pairs were constructed such that there was a relation between the prime (e.g., lion) and the target (e.g., stripes) only through a mediating concept (e.g., tiger). The lexical decision results yielded fa...

We describe a new method for summarizing similarities and differences in a pair of related documents using a graph representation for text. Concepts denoted by words, phrases, and proper names in the document are represented positionally as nodes in the graph along with edges corresponding to semantic relations between items. Given a perspective in terms of which the pair of documents is to be ...

An understanding of cognitive control is crucial for understanding high-level cognition and delineating the functional role of prefrontal cortex in supporting complex cognitive operations. In this paper, we approach the problem of cognitive control by examining the control needs of SHRUTI, a neurally plausible and cognitively motivated model of inference and decision-making. It is shown that pr...

We consider the problem of learning how to control a plant with non-linear control characteristics and solving the path-planning problem at the same time. The solution is based on a path-planning model that designates a speed field to be tracked, the speed field being the gradient of the equilibrium solution of a diffusion-like process which is simulated on an artificial neural network by sprea...

The effects of priming are not limited to semantics but have also been witnessed in visual-motor tasks (Tucker & Ellis, 2001). By generalizing ACT-R’s (Anderson, 2007) existing spreading activation account to include visual representations and broadening the context within which associations are established, we have been able to replicate this small but reliable phenomenon both in simulation an...

Monitoring public attention for a topic is of interest for many target groups like social scientists or public relations. We demonstrate how public attention caused by real-world events is accompanied by an accordant visibility of topics on the web. It is shown that the recall values of a search engine we use as initial visibility values have to be adjusted by taking the semantic relations betw...

In this paper we present a method that allows us to use a generic full text engine as a k-nearest neighbor-based recommendation system. Experiments on two real world datasets show that accuracy of recommendations yielded by such system are comparable to existing spreading activation recommendation techniques. Furthermore, our approach maintains linear scalability relative to dataset size. We al...