False-belief (FB) tasks have been widely used to study the ability of individuals to represent the content of their conspecifics' mental states (theory of mind). However, the cognitive processes involved are still poorly understood, and it remains particularly debated whether language and inner speech are necessary for the attribution of beliefs to other agents. We present a completely nonverba...

Three hypotheses that could account for deficits in the retrieval of category information in Alzheimer's disease (AD) were evaluated: abnormal organization, class- or category-specific vulnerability, and limitation by general factors, such as decreased processing speed. Relative to 18 elderly control subjects, 18 patients with AD produced fewer items in a category fluency task and had longer re...

According to the "embodied cognition" theory and the "sensory-motor model of semantic knowledge": (a) concepts are represented in the brain in the same format in which they are constructed by the sensory-motor system and (b) various conceptual categories differ according to the weight of different kinds of information in their representation. In this study, we tried to check the second assumpti...

In [ l ] the Makhoul Conjecture Challenge was published. To answer was the question whether or not the location of the peak of a digital stable all-pass filter lies in [0, 2p-11, where p is the order of the all-pass filter. In this paper we construct numerous counter-examples, prove a new theorem stating that there is at least an upper bound on the order of p3’2 for the location of the peak, an...

Partially coherent standard and elegant Laguerre-Gaussian (LG) beams of all orders are introduced as a natural extension of coherent standard and elegant LG beams to the stochastic domain. By expanding the LG modes into a finite sum of Hermite-Gaussian modes, the analytical formulae are obtained for the cross-spectral densities of partially coherent standard and elegant LG beams in the source p...

Using appropriate training data is necessary to robustly recognize low-resolution characters by the subspace method. Former learning methods used characters actually captured by a camera, which required the collection of characters of all categories in various conditions. In this paper, we propose a new learning method that generates training data by a point spread function estimated beforehand...