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.

Reproduction and artificial restocking of Acipenser naccarii (Bonaparte, 1836). Genetic and physiological characterization through microsatellite markers and radioimmunoassay of sexual steroids

The Adriatic sturgeon, Acipenser naccarii (Bonaparte, 1836), is a highly threatened species due to human activities, particularly overfishing and habitat destruction. Its peculiar ecology and biology (restricted areal and anadromy) makes this species particularly vulnerable. In March 2010 the IUCN has identified the Adriatic sturgeon as a critically endangered species according to the Red List of Threatened Species. Due to its rapid decline, starting from the 80s, at present there is no evidence of natural reproduction in wild environment, which makes the Adriatic sturgeon dependenton captive breeding programs that need to be improved in order to be effective for the survival of the species. For this purpose this study aims to characterize artificial restocking population of Adriatic sturgeon, with both genetic and physiological analysis in order to establish an efficient restocking program for future reproductions. The research is structured on two levels: First genetically, by analyzing 9 microsatellite loci. This gives information relatively about parent allocation and kinship between individuals that were sampled for this study. Hence to predict which reproduction events are the most optimal in terms of incrementing genetic diversity, by the estimation of multilocus pairwise band sharing coefficients. Second step, physiological analysis: testosterone (T) concentration levels in each individual were measured for sexing, without sacrificing the lives of the animals with the use of an invasive examination of the gonads. The combination of interdisciplinary analysis is important to obtain an overall picture in order to indicate the main broodstock participating in reproduction events and future optimal potential participants, in order to ensure a valid management for restocking program and their monitoring.