The influence of temporal regularities on the implicit learning of pitch structures

Implicit learning is the acquisition of complex information without the intention to learn. The aim of this study was to investigate the influence of temporal regularities on the implicit learning of an artificial pitch grammar. According to the dynamic attending theory (DAT) external regularities can entrain internal oscillators that guide attention over time, inducing temporal expectations that influence perception of future events. In the present study, the presentation of the artificial pitch grammar in the exposure phase was temporally either regular or irregular for one of two participant groups. Based on the DAT, it was hypothesized that the regular temporal presentation would favour implicit learning of tone structures in comparison to the irregular temporal presentation. Results demonstrated learning of the artificial grammar for the group with the regular exposure phase and partial learning for the group with the irregular exposure phase. These findings suggest that the regular presentation helps listeners to develop perceptual expectations about the temporal occurrence of future tones and thus facilitates the learning of the artificial pitch grammar.     

An aphasia database on the internet: a model for computer-assisted analysis in aphasiology

A web-based software model was developed as an example for data mining in aphasiology. It is used for educating medical and engineering students. It is based upon a database of 254 aphasic patients which contains the diagnosis of the aphasia type, profiles of an aphasia test battery (Aachen Aphasia Test), and some further clinical information. In addition, the cerebral lesion profiles of 147 of these cases were standardized by transferring the coordinates of the lesions to a 3D reference brain based upon the ACPC coordinate system. Two artificial neural networks were used to perform a classification of the aphasia type. First, a coarse classification was achieved by using an assessment of spontaneous speech of the patient which produced correct results in 87% of the test cases. Data analysis tools were used to select four features of the 30 available test features to yield a more accurate diagnosis. This classifier produced correct results in 92% of the test cases. The neural network approach is similar to grouping performed in group studies, while the nearest-neighbor method shows a design more similar to case studies. It finds the neurolinguistic and the lesion data of patients whose AAT profiles are most similar to the user's input. This way lesion profiles can be compared to each other interindividually. The Aphasia Diagnoser is available on the Web address http://fuzzy.iau.dtu.dk/aphasia.nsf and thus should facilitate a discussion about the reliability and possibilities of data-mining techniques in aphasiology.     

Artificial consciousness, artificial emotions, and autonomous robots

Nowadays for robots, the notion of behavior is reduced to a simple factual concept at the level of the movements. On another hand, consciousness is a very cultural concept, founding the main property of human beings, according to themselves. We propose to develop a computable transposition of the consciousness concepts into artificial brains, able to express emotions and consciousness facts. The production of such artificial brains allows the intentional and really adaptive behavior for the autonomous robots. Such a system managing the robot’s behavior will be made of two parts: the first one computes and generates, in a constructivist manner, a representation for the robot moving in its environment, and using symbols and concepts. The other part achieves the representation of the previous one using morphologies in a dynamic geometrical way. The robot’s body will be seen for itself as the morphologic apprehension of its material substrata. The model goes strictly by the notion of massive multi-agent’s organizations with a morphologic control.     

Operational Noology as a new methodology for the study of thought and language: theoretical aspects and possible practical applications

In this article, the author presents a new methodology for the study of two fundamental components of consciousness, that is thought and language. The fundamental presupposition that forms the basis of this methodology is that thought is not simply a passive "reflection" of an external "reality", but also (and especially) something active, i.e. that the fundamental components of thought are sequences of operations, amongst which the ones of attention play a key role. These sequences of elementary mental operations are called mental categories, and are the meanings of all the words that do not seem to indicate something physical (first of all, all the "grammatical" words, that is conjunctions, prepositions, articles, pronouns, fundamental verbs like "to be", "to have" etc., the main adverbs, and, in the large number of languages that have a more or less rich morphology, all morphemes (the ones which indicate cases, in languages that have cases, the number and the gender of nouns and adjectives, moods and tenses of the verb etc.). The author proposes a list of these elementary mental operations and he shows how it is possible, basing ourselves on them, to identify the meanings of these words, which are indispensable for any linguistic expression. The author also mentions a possible short-term practical application of these theories, i.e. a device in order to improve the quality of machine translation. He also formulates the hypothesis that these theories could allow us to look in a new way at the problem of the (partial) artificial reproduction of the human activity of thought and language.     

Timing in cognition and EEG brain dynamics: discreteness versus continuity

This article provides an overview of recent developments in solving the timing problem (discreteness vs. continuity) in cognitive neuroscience. Both theoretical and empirical studies have been considered, with an emphasis on the framework of operational architectonics (OA) of brain functioning (Fingelkurts and Fingelkurts in Brain Mind 2:291-29, 2001; Neurosci Biobehav Rev 28:827-836, 2005). This framework explores the temporal structure of information flow and interarea interactions within the network of functional neuronal populations by examining topographic sharp transition processes in the scalp EEG, on the millisecond scale. We conclude, based on the OA framework, that brain functioning is best conceptualized in terms of continuity-discreteness unity which is also the characteristic property of cognition. At the end we emphasize where one might productively proceed for the future research.     

Using artificial life to teach evolutionary biology

This paper presents a pilot study on the use of artificial life software in an educational setting. Two groups of high school students received a standard lesson in evolutionary biology followed by a software session. The experimental group used the suite of artificial life software presented in this paper; the control group used a commercial multimedia hypertext. At the end of the software session both groups were asked to fill in a simple multiple-choice questionnaire testing the students knowledge of various aspects of evolutionary biology. The results show that the group using the artificial life software performed significantly better than the control group. We argue that the experimental group may learn more effectively because the artificial life makes it possible for students to perform experiments, a possibility not available to the control group.

Testing for social learning and imitation in common marmosets, <Emphasis Type="Italic">Callithrix jacchus</Emphasis>, using an artificial fruit

We tested for social learning and imitation in common marmosets using an artificial foraging task and trained conspecific demonstrators. We trained a demonstrator marmoset to open an artificial fruit, providing a full demonstration of the task to be learned. Another marmoset provided a partial demonstration, controlling for stimulus enhancement effects, by eating food from the outside of the apparatus. We thus compared three observer groups, each consisting of four animals: those that received the full demonstration, those that received the partial demonstration, and a control group that saw no demonstration prior to testing. Although none of the observer marmosets succeeded in opening the artificial fruit during the test periods, there were clear effects of demonstration type. Those that saw the full demonstration manipulated the apparatus more overall, whereas those from the control group manipulated it the least of the three groups. Those from the full-demonstration group also contacted the particular parts of the artificial fruit that they had seen touched (localised stimulus enhancement) to a greater extent than the other two groups. There was also an interaction between the number of hand and mouth touches made to the artificial fruit for the full- and partial-demonstration groups. Whether or not these data represent evidence for imitation is discussed. We also propose that the clear differences between the groups suggest that social learning mechanisms provide real benefits to these animals in terms of developing novel food-processing skills analogous to the one presented here.     

Functional Status, Receipt of Help, and Perceived Health

We model the effects of disability, functional limitation, and receipt of help on perceived health. This analysis specifies a model with two dimensions of disability and three dimensions of functional limitation, including upper body disability, lower body disability, basic activities of daily living (ADLs), household ADLs, and advanced ADLs. The latent variables of receiving help are modeled for each of the ADLs as intervening between limitations and perceived health. The results show that instrumental social support in the form of receiving help for ADLs has no substantive independent effect on perceived health. In addition, receiving instrumental social support shows a pattern of task-specific responses to individual measures of need. Implications for both caregiver and care recipient are discussed.     

Genetic counseling for a family with two distinct anomalies: A case report of a neural tube defect and 5p- syndrome in a fetus

A couple presented for genetic counseling because of an elevated maternal serum alpha fetoprotein. Ultrasound examination revealed the presence of a neural tube defect. The couple declined an amniocentesis, but chose serial ultrasound evaluations instead. Ultrasounds eventually identified microcephaly, but the couple continued to decline amniocentesis. After the child's birth, the diagnosis of 5p- syndrome was made. The couple's decision not to have an amniocentesis allowed the family their right to autonomy; however, prenatal chromosome analysis would have provided this couple with a great deal more prognostic information. We discuss the conflict between a counselor's duty to respect a client's freedom vs. duty to care for a client's welfare. We address issues of nondirective counseling and the need for more studies looking at the decision-making process in prenatal diagnosis.     

The parental support networks of mothers and fathers: A multidimensional approach

This paper argues for a multidimensional approach to the study of the social support networks of mothers and fathers of young children. Network structure (e. g. size, density, member characteristics), support content (e. g. emotional, informational, economic and child care) and support quality (e. g. helpfulness, satisfaction with support, conflict associated with support and willingness to access support in future need) are distinguished. The goals of the study were: (1) to empirically test the multidimensionality of parental support networks; (2) to assess the relations among these three dimensions for mothers and for fathers; and (3) to examine how couples' support networks are interrelated. Individual at-home interviews were conducted with 100 parents to derive measures of parental support structure, content and quality. Fathers (N = 31) were compared to their spouses (N = 31) and to a comparison group of demographically similar married mothers (N = 38). For all three groups, the same three predicted dimensions emerged in the factor structure of their networks; in general, few gender differences were found. However, relations among structure, content and quality differed by gender, with network structure predicting support content and quality only for mothers. The network structure of couples was positively correlated, and overlap in network members was related to own and spouse's network helpfulness, satisfaction and child care support.