Prospective (forward) temporal-spatial models are essential for both action and perception, but the literature on perceptual prediction has primarily been limited to the spatial domain. In this study we asked how the neural systems of perceptual prediction change, when change-over-time must be modeled. We used a naturalistic paradigm in which observers had to extrapolate the trajectory of an oc...

Recent research has demonstrated that involuntary attention improves target identification accuracy for letters using non-predictive peripheral cues, helping to resolve some of the controversy over performance enhancement from involuntary attention. While various cueing studies have demonstrated that their reported cueing effects were not due to response bias to the cue, very few investigations...

Baboons (Papio anubis) were tested on categorization tasks at two different conceptual levels. The monkeys showed their ability (1) to judge as identical or different the objects belonging to two categories, on a perceptual basis, and (2) to perform a judgment of conceptual identity-that is, to use the same/different relation between two previously learned categories. This latter experiment rep...

This paper uses a unique data set to investigate the link between the pay and performance of school principals. It is frequently argued that public sector CEOs are paid like bureaucrats with little reward for good performance. However, this ignores the possibility of implicit labor market incentives. We show that pay is indeed linked to publicly observable performance measures. Moreover poorly ...

The purpose of the study is to extend further from the result studying overconfidence effects of CEOs on single deal of Malmendier and Tate (2008)’s article to study overconfidence effects of CEOs on multiple mergers and acquisitions. Based on the psychological and financial theories, the likelihood of overconfident CEOs acquiring a company is the net effect of two manifestations of overconfide...

We develop a model of perceptual similarity judgment based on re-training a deep convolution neural network (DCNN) that learns to associate different views of each 3D object to capture the notion of object persistence and continuity in our visual experience. The re-training process effectively performs distance metric learning under the object persistency constraints, to modify the view-manifol...

Previous studies proved the immense importance of nonverbal skills when it comes to being persuasive and coming across as charismatic. It was also found that men sound more convincing and persuasive (i.e. altogether more charismatic) than women under otherwise comparable conditions. This gender bias is investigated in the present study by analyzing and comparing acoustic-melodic charisma featur...

We develop a model of perceptual similarity judgment based on re-training a deep convolution neural network (DCNN) that learns to associate different views of each 3D object to capture the notion of object persistence and continuity in our visual experience. The re-training process effectively performs distance metric learning under the object persistency constraints, to modify the view-manifol...