European and Chinese legislation regulating the portrayal of women in television advertising: A comparison

This dissertation has two main purposes. On the one hand, it aims at comparing the gender stereotypes presented in the television commercials in China and in Europe. Considering the cultural, historical and socio-economical differences between these two contexts, it is interesting to examine the gender role models offered and used by the advertising industry in European Union and China in order to see if the gender stereotypes are similar and to evaluate to which extent they reflect, challenge or reinforce the gender roles of the society where they are broadcasted. On the other hand, the objective of this dissertation is to establish the degree of adequateness and effectiveness of the existing regulatory framework through an analysis of the positive and negative aspects of the regulatory acts issued to safeguard a fair representation of genders in the EU Member States and in China.

Simulating event related potentials in tasks involving conflict resolution: a neural network

In this thesis, the main Executive Control theories are exposed. Methods typical of Cognitive and Computational Neuroscience are introduced and the role of behavioural tasks involving conflict resolution in the response elaboration, after the presentation of a stimulus to the subject, are highlighted. In particular, the Eriksen Flanker Task and its variants are discussed. Behavioural data, from scientific literature, are illustrated in terms of response times and error rates. During experimental behavioural tasks, EEG is registered simultaneously. Thanks to this, event related potential, related with the current task, can be studied. Different theories regarding relevant event related potential in this field - such as N2, fERN (feedback Error Related Negativity) and ERN (Error Related Negativity) – are introduced. The aim of this thesis is to understand and simulate processes regarding Executive Control, including performance improvement, error detection mechanisms, post error adjustments and the role of selective attention, with the help of an original neural network model. The network described here has been built with the purpose to simulate behavioural results of a four choice Eriksen Flanker Task. Model results show that the neural network can simulate response times, error rates and event related potentials quite well. Finally, results are compared with behavioural data and discussed in light of the mentioned Executive Control theories. Future perspective for this new model are outlined.