Models for the study of neuronal activity during cognitive tasks

Assessment of brain connectivity among different brain areas during cognitive or motor tasks is a crucial problem in neuroscience today. Aim of this research study is to use neural mass models to assess the effect of various connectivity patterns in cortical EEG power spectral density (PSD), and investigate the possibility to derive connectivity circuits from EEG data. To this end, two different models have been built. In the first model an individual region of interest (ROI) has been built as the parallel arrangement of three populations, each one exhibiting a unimodal spectrum, at low, medium or high frequency. Connectivity among ROIs includes three parameters, which specify the strength of connection in the different frequency bands. Subsequent studies demonstrated that a single population can exhibit many different simultaneous rhythms, provided that some of these come from external sources (for instance, from remote regions). For this reason in the second model an individual ROI is simulated only with a single population. Both models have been validated by comparing the simulated power spectral density with that computed in some cortical regions during cognitive and motor tasks. Another research study is focused on multisensory integration of tactile and visual stimuli in the representation of the near space around the body (peripersonal space). This work describes an original neural network to simulate representation of the peripersonal space around the hands, in basal conditions and after training with a tool used to reach the far space. The model is composed of three areas for each hand, two unimodal areas (visual and tactile) connected to a third bimodal area (visual-tactile), which is activated only when a stimulus falls within the peripersonal space. Results show that the peripersonal space, which includes just a small visual space around the hand in normal conditions, becomes elongated in the direction of the tool after training, thanks to a reinforcement of synapses.

Novita' sul mercato dei sistemi di pagamento: Gli istituti di pagamento e gli istituti di moneta elettronica

La presente trattazione analizza le novità normative apportate dalle recenti direttive europee sui servizi di pagamento e sulla moneta elettronica (rispettivamente la direttiva 2007/64/CE, c.c. Payment Services Directive o PSD, e la direttiva 2009/110/CE, detta Electronic Money Directive 2 o EMD2). Al fine di incrementare la competitività dei servizi di pagamento, sono stati introdotti nuovi prestatori di servizi di pagamento, non bancari, gli Istituti di Pagamento (IP) e gli Istituti di Moneta Elettronica (IMEL), a cui è stata attribuita la possibilità di far ricorso al contratto di conto di pagamento per la gestione dei servizi di pagamento con possibilità di finanziamento agli utenti. La prima parte della presente trattazione è dedicata alla configurazione giuridica dei nuovi prestatori di servizi di pagamento, influenzante la diffusione dei pagamenti digitali e della moneta elettronica. La seconda parte è rivolta alla ricostruzione giuridica del conto di pagamento, contratto – tipo per la gestione in conto dei servizi di pagamento, ed all’analisi delle modalità di erogazione dei finanziamenti agli utenti. Le direttive predette hanno inoltre attribuito ad IP ed IMEL la facoltà di emettere le carte di pagamento a spendibilità generalizzata, ossia carte di debito e carte di credito. In quanto abilitati all’emissione di moneta elettronica, gli IMEL possono inoltre emettere i c.d. borsellini di moneta elettronica, cioè i dispositivi di memorizzazione e di movimentazione della moneta elettronica. Nella terza parte della trattazione vengono, pertanto, presi in analisi la natura di tali strumenti di pagamento e le differenze intercorrenti rispetto agli affini strumenti bancari. In particolare, ampio spazio è dedicato alla ricostruzione giuridica dei borsellini di moneta elettronica, la cui diffusione tra gli utenti potrebbe avere l’effetto di favorire la progressiva digitalizzazione dei pagamenti e la realizzazione della cashless society.

Advanced Mission Synthesis Algorithms for Vibration-based Accelerated Life-testing

In the field of vibration qualification testing, with the popular Random Control mode of shakers, the specimen is excited by random vibrations typically set in the form of a Power Spectral Density (PSD). The corresponding signals are stationary and Gaussian, i.e. featuring a normal distribution. Conversely, real-life excitations are frequently non-Gaussian, exhibiting high peaks and/or burst signals and/or deterministic harmonic components. The so-called kurtosis is a parameter often used to statistically describe the occurrence and significance of high peak values in a random process. Since the similarity between test input profiles and real-life excitations is fundamental for qualification test reliability, some methods of kurtosis-control can be implemented to synthesize realistic (non-Gaussian) input signals. Durability tests are performed to check the resistance of a component to vibration-based fatigue damage. A procedure to synthesize test excitations which starts from measured data and preserves both the damage potential and the characteristics of the reference signals is desirable. The Fatigue Damage Spectrum (FDS) is generally used to quantify the fatigue damage potential associated with the excitation. The signal synthesized for accelerated durability tests (i.e. with a limited duration) must feature the same FDS as the reference vibration computed for the component’s expected lifetime. Current standard procedures are efficient in synthesizing signals in the form of a PSD, but prove inaccurate if reference data are non-Gaussian. This work presents novel algorithms for the synthesis of accelerated durability test profiles with prescribed FDS and a non-Gaussian distribution. An experimental campaign is conducted to validate the algorithms, by testing their accuracy, robustness, and practical effectiveness. Moreover, an original procedure is proposed for the estimation of the fatigue damage potential, aiming to minimize the computational time. The research is thus supposed to improve both the effectiveness and the efficiency of excitation profile synthesis for accelerated durability tests.