We describe a patient, VSB, whose reading was impaired as a consequence of a left temporal-parietal lesion, whereas writing was relatively preserved. At variance with other pure alexic patients described in the literature, VSB claimed to have become unable to mentally visualise letters and words. Indeed, his performance on a series of tests tapping visual mental imagery for orthographic materia...

Degree of pupil dilation has been shown to be a valid and reliable measure of cognitive load, but the effect of aural versus visual task presentation on pupil dilation is unknown. To evaluate effects of presentation mode, pupil dilation was measured in three tasks spanning a range of cognitive activities: mental multiplication, digit sequence recall, and vigilance. Stimuli were presented both a...

Brain imaging techniques allow the mapping of cognitive functions onto neural systems, but also the understanding of mechanisms of human behavior. In a series of imaging studies we have described a minimal neural architecture for imitation. This architecture comprises a brain region that codes an early visual description of the action to be imitated, a second region that codes the detailed moto...

Hashing is one of the most popular and powerful approximate nearest neighbor search techniques for large-scale image retrieval. Most traditional hashing methods first represent images as off-the-shelf visual features and then produce hashing codes in a separate stage. However, off-the-shelf visual features may not be optimally compatible with the hash code learning procedure, which may result i...

This article is based on a consideration of the audiovisual text as system in which different signifying codes converge, giving it multimodal nature. Studies nature have addressed multitude aspects to date, although there are still concepts be explained within paradigm. One such aspect has do with varieties language, specifically notion sociolect. After review literature, fragments television s...

Thanks to the success of deep learning, hashing has recently evolved as a leading method for large-scale image retrieval. Most existing methods use last layer extract semantic information from input image. However, these have deficiencies because features extracted lack local information, which might impact global system’s performance. To this end, Deep Feature Pyramid Hashing DFPH is proposed ...

this article is an attempt to explore the subject of divorcee in narrative and visual content of iranian cinema. therefore, by applying constructionist approach in representation theory of stuart hall as the main theoretical framework and using roland barthes’ structural analysis of narrative and john fiske’s semiotic analysis in three levels of reality codes, representation and ideology, ester...

During visual search, it is well known that items sharing visual similarity with the target create interference (e.g., searching for a baseball among softballs vs. a baseball among bats). Although such a task is inherently visual, might linguistic similarity between target and background items' names also create interference? We conducted several experiments in which people searched for either ...

People interact with entities in the environment in distinct and categorizable ways (e.g., kicking is making contact with foot). We can recognize these action categories across variations in actors, objects, and settings; moreover, we can recognize them from both dynamic and static visual input. However, the neural systems that support action recognition across these perceptual differences are ...

The binary and ternary codes spanned by the rows of the point by block incidence matrices of some 2-designs and their complementary and orthogonal designs are studied. A new method is also introduced to study optimal codes.