Assessing segmentation processes by click detection: online measure of statistical learning, or simple interference?

Statistical learning can be used to extract the words from continuous speech. Gómez, Bion, and Mehler (Language and Cognitive Processes, 26, 212–223, 2011) proposed an online measure of statistical learning: They superimposed auditory clicks on a continuous artificial speech stream made up of a random succession of trisyllabic nonwords. Participants were instructed to detect these clicks, which could be located either within or between words. The results showed that, over the length of exposure, reaction times (RTs) increased more for within-word than for between-word clicks. This result has been accounted for by means of statistical learning of the between-word boundaries. However, even though statistical learning occurs without an intention to learn, it nevertheless requires attentional resources. Therefore, this process could be affected by a concurrent task such as click detection. In the present study, we evaluated the extent to which the click detection task indeed reflects successful statistical learning. Our results suggest that the emergence of RT differences between within- and between-word click detection is neither systematic nor related to the successful segmentation of the artificial language. Therefore, instead of being an online measure of learning, the click detection task seems to interfere with the extraction of statistical regularities.

Integrating knowledge of Mycobacterium tuberculosis pathogenesis for the design of better vaccines.

Today, tuberculosis (TB) still remains one of the main global causes of mortality and morbidity, and an effective vaccine against both TB disease and Mycobacterium tuberculosis infection is essential to reach the updated post-2015 Millennium development goal of eradicating TB by 2050. During the last two decades much knowledge has accumulated on the pathogenesis of TB and the immune responses to infection by M. tuberculosis. Furthermore, many vaccine candidates are under development, and close to 20 of them have entered clinical assessment at various levels. Nevertheless, the M. tuberculosis-host interaction is very complex, and the full complexity of this interaction is still not sufficiently well understood to develop novel, rationally designed vaccines. However, some of the recent knowledge is now integrated into the design of various types of vaccine candidates to be used either as pre-exposure, as post-exposure or as therapeutic vaccines, as will be discussed in this paper.