Social learning and action understanding in human observers: contributions of sensori-motor constraints and prior information

The aim of this thesis was to investigate the respective contribution of prior information and sensorimotor constraints to action understanding, and to estimate their consequences on the evolution of human social learning. Even though a huge amount of literature is dedicated to the study of action understanding and its role in social learning, these issues are still largely debated. Here, I critically describe two main perspectives. The first perspective interprets faithful social learning as an outcome of a fine-grained representation of others’ actions and intentions that requires sophisticated socio-cognitive skills. In contrast, the second perspective highlights the role of simpler decision heuristics, the recruitment of which is determined by individual and ecological constraints. The present thesis aims to show, through four experimental works, that these two contributions are not mutually exclusive. A first study investigates the role of the inferior frontal cortex (IFC), the anterior intraparietal area (AIP) and the primary somatosensory cortex (S1) in the recognition of other people’s actions, using a transcranial magnetic stimulation adaptation paradigm (TMSA). The second work studies whether, and how, higher-order and lower-order prior information (acquired from the probabilistic sampling of past events vs. derived from an estimation of biomechanical constraints of observed actions) interacts during the prediction of other people’s intentions. Using a single-pulse TMS procedure, the third study investigates whether the interaction between these two classes of priors modulates the motor system activity. The fourth study tests the extent to which behavioral and ecological constraints influence the emergence of faithful social learning strategies at a population level. The collected data contribute to elucidate how higher-order and lower-order prior expectations interact during action prediction, and clarify the neural mechanisms underlying such interaction. Finally, these works provide/open promising perspectives for a better understanding of social learning, with possible extensions to animal models.

Nonlinear Observers for Sensorless Control of Permanent Magnet Synchronous Motors

In this thesis, the industrial application of control a Permanent Magnet Synchronous Motor in a sensorless configuration has been faced, and in particular the task of estimating the unknown “parameters” necessary for the application of standard motor control algorithms. In literature several techniques have been proposed to cope with this task, among them the technique based on model-based nonlinear observer has been followed. The hypothesis of neglecting the mechanical dynamics from the motor model has been applied due to practical and physical considerations, therefore only the electromagnetic dynamics has been used for the observers design. First observer proposed is based on stator currents and Stator Flux dynamics described in a generic rotating reference frame. Stator flux dynamics are known apart their initial conditions which are estimated, with speed that is also unknown, through the use of the Adaptive Theory. The second observer proposed is based on stator currents and Rotor Flux dynamics described in a self-aligning reference frame. Rotor flux dynamics are described in the stationary reference frame exploiting polar coordinates instead of classical Cartesian coordinates, by means the estimation of amplitude and speed of the rotor flux. The stability proof is derived in a Singular Perturbation Framework, which allows for the use the current estimation errors as a measure of rotor flux estimation errors. The stability properties has been derived using a specific theory for systems with time scale separation, which guarantees a semi-global practical stability. For the two observer ideal simulations and real simulations have been performed to prove the effectiveness of the observers proposed, real simulations on which the effects of the Inverter nonlinearities have been introduced, showing the already known problems of the model-based observers for low speed applications.

Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers

To retrospectively analyze the performance of a commercial computer-aided diagnosis (CAD) software in the detection of pulmonary nodules in original and energy-subtracted (ES) chest radiographs.

Congressional Endorsements in the Presidential Nomination Process: Democratic Superdelegates in the 2008 Election

Examining congressional superdelegate endorsements in the 2008 Democratic presidential nomination, the authors show that changes in the political context affected the balance of factors in members’ decisions to endorse Clinton or Obama. Specifically, the national standing of the candidates became increasingly important—and local opinion less important—to Obama endorsements even as constituency views became a stronger influence over Clinton endorsements. The findings reveal how constituency considerations affect the elite endorsement choices that shape the presidential nominating process. In addition, the analysis highlights the ways in which members of Congress balance conflicting considerations in a changing political context when an issue plays out over an extended period.

Congressional Endorsements in the Presidential Nomination Process: Democratic Superdelegates in the 2008 Election

Examining congressional superdelegate endorsements in the 2008 Democratic presidential nomination, the authors show that changes in the political context affected the balance of factors in members' decisions to endorse Clinton or Obama. Specifically, the national standing of the candidates became increasingly important-and local opinion less important-to Obama endorsements even as constituency views became a stronger influence over Clinton endorsements. The findings reveal how constituency considerations affect the elite endorsement choices that shape the presidential nominating process. In addition, the analysis highlights the ways in which members of Congress balance conflicting considerations in a changing political context when an issue plays out over an extended period.

Comparison of dual-energy subtraction and electronic bone suppression combined with computer-aided detection on chest radiographs: effect on human observers' performance in nodule detection

The objective of our study was to compare the effect of dual-energy subtraction and bone suppression software alone and in combination with computer-aided detection (CAD) on the performance of human observers in lung nodule detection.

Can OBAMA win Re-election? Demographics vs. Economics in the 2012 Election

Lincoln famously spoke of government “of the people, by the p eople, and for the people.” But who, exactly, are “the people”? Which demographic characteristics are the most politically significant? And who will actually turn out to vote? Dr. Ruy Teixeira, Senior Fellow at The Century Foundation and the Center for American Progress, will consider these questions against the backdrop of this year’s presidential campaign.

Imparted Montana Values and the Election

A Montana Public Radio Commentary from Evan Barrett.