Visualization of learning in multilayer perceptron networks using principal component analysis

This paper is concerned with the use of scientific visualization methods for the analysis of feedforward neural networks (NNs). Inevitably, the kinds of data associated with the design and implementation of neural networks are of very high dimensionality, presenting a major challenge for visualization. A method is described using the well-known statistical technique of principal component analysis (PCA). This is found to be an effective and useful method of visualizing the learning trajectories of many learning algorithms such as back-propagation and can also be used to provide insight into the learning process and the nature of the error surface.

Special issue on methods and learning in functional MRI: Introductory remarks

This special issue represents a further exploration of some issues raised at a symposium entitled “Functional magnetic resonance imaging: From methods to madness” presented during the 15th annual Theoretical and Experimental Neuropsychology (TENNET XV) meeting in Montreal, Canada in June, 2004. The special issue’s theme is methods and learning in functional magnetic resonance imaging (fMRI), and it comprises 6 articles (3 reviews and 3 empirical studies). The first (Amaro and Barker) provides a beginners guide to fMRI and the BOLD effect (perhaps an alternative title might have been “fMRI for dummies”). While fMRI is now commonplace, there are still researchers who have yet to employ it as an experimental method and need some basic questions answered before they venture into new territory. This article should serve them well. A key issue of interest at the symposium was how fMRI could be used to elucidate cerebral mechanisms responsible for new learning. The next 4 articles address this directly, with the first (Little and Thulborn) an overview of data from fMRI studies of category-learning, and the second from the same laboratory (Little, Shin, Siscol, and Thulborn) an empirical investigation of changes in brain activity occurring across different stages of learning. While a role for medial temporal lobe (MTL) structures in episodic memory encoding has been acknowledged for some time, the different experimental tasks and stimuli employed across neuroimaging studies have not surprisingly produced conflicting data in terms of the precise subregion(s) involved. The next paper (Parsons, Haut, Lemieux, Moran, and Leach) addresses this by examining effects of stimulus modality during verbal memory encoding. Typically, BOLD fMRI studies of learning are conducted over short time scales, however, the fourth paper in this series (Olson, Rao, Moore, Wang, Detre, and Aguirre) describes an empirical investigation of learning occurring over a longer than usual period, achieving this by employing a relatively novel technique called perfusion fMRI. This technique shows considerable promise for future studies. The final article in this special issue (de Zubicaray) represents a departure from the more familiar cognitive neuroscience applications of fMRI, instead describing how neuroimaging studies might be conducted to both inform and constrain information processing models of cognition.

Language strategies in the attribution of blame for HIV and AIDS

This article examines the language strategies used in everyday explanation by young heterosexual adults to attribute blame for the transmission of HIV: Seventy-two-female and 60 male Australian university students took part in the study. They were formed into groups of four, with each group taking part in discussions about HIV: AIDS, and related matters. Transcripts were examined for instances of blaming, and a coding scheme for levels of attributed responsibility applied to those instances found. Language strategies of distancing self from HN and AIDS were then coded, including checks for who was blamed whether they were members of participants' ingroups or outgroups, and whether justifications were used. These findings are discussed in terms of positioning the self vis-a-vis HIV and AIDS, as well as the ways in which negative stereotypes were used in attributing blame to members of outgroups.

Comparison of language impairment in late-onset depression and Alzheimer`s disease

Objectives: Depression and dementia are highly prevalent in the elderly. Language impairment is an inherent component of Alzheimer`s disease (AD), which can also be encountered in depressed patients. The aim of this study wasto compare the profiles of language abilities in late-onset depression and mild AD groups. Methods: We studied 25 patients with late-onset depression (mean age 73.6 +/- 6.6 years; schooling 9.1 +/- 5.7 years) and 30 patients with mild AD (77.6 +/- 5.4 years; 7.5 +/- 7.1 years) using the Arizona Battery for Communication Disorders of Dementia (ABCD), compared to a group of 30 controls (73.8 +/- 5.8 years; 9.1 +/- 5.4 years). Cut-off scores to discriminate between Controls x Depression and Depression x AD were determined. Results: Depressed patients` scores were similar to AD in confrontation naming, concept definition, following commands, repetition and reading comprehension (sentence). Episodic memory and mental status subtests were useful in differentiating depressed patients from AD, a result that was reproduced when using analysis of covariance to control for the effect of age in the same subtests (p = 0.01 and 0.04, respectively). Conclusion: Language impairment resembling AD was found in the aforementioned language subtests of the ABCD in elderly depressed patients; the mental status and episodic memory subtests were useful to discriminate between AD and depression. The ABCD has proven to be a suitable tool for language evaluation in this population and should aid in the differentiation of AD and pseudodementia (as that of depression).

Language impairment in euthymic, elderly patients with bipolar disorder but no dementia

Background: Neurocognitive impairment is known to occur in euthymic bipolar patients, but language alterations have not been thoroughly investigated. The aim of this study is to examine the performance in language tests of a sample of elderly patients with bipolar disorder. Methods: We studied 33 eurthymic elderly patients with bipolar disorder but no dementia and 33 healthy individuals, matched for age and education, who were compared in terms of their CAMCOG global score and its subitems. Results: The scores obtained in language-related abilities for patients and controls, respectively, were: language (total): 27.3 (1) and 28.5 (1), p < 0.0001)comprehension: 8.6 (0.5) and 8.9 (0.3), p = 0.006; production: 18.7 (1) and 19.6 (0.9), p = < 0.0001; abstraction: 6.8 (1.1) and 7.3 (0.7), p = 0.016; verbal fluency: 16.3 (4.3) and 19.6 (4.1), p = 0.003. Conclusion: A mild but significant impairment in language-related ability scores was detected when comparing patients and controls.