We introduce a newly developed visual programming and UML modeling tool for educational use. It’s implemented to provide students with informative feedback during exercises as well as to assess the submissions of students automatically. Tasks combine class and activity modeling aspects as well as some simple programming requirements. The system is web-based and named COCLAC. Visual programming ...

There exist numerous techniques to define the abstract and the concrete syntax of metamodeled languages. However, only a few solutions are available to describe the dynamic behavior (animation) of visual languages. The aim of our research is to provide visual modeling techniques to define the dynamic behavior of the languages. Previously, we have created languages to describe animation. In this...

This report presents a method for detecting visual code markers in cell phone images. INTRODUCTION Visual code markers are binary information bearing tags similar to bar codes except that they can be read with the use of a cell phone camera and detection algorithm (such as the one presented in this report). The concept of a visual code marker and its various uses are presented clearly in Michae...

The external world is represented in the brain as spatiotemporal patterns of electrical activity. Sensory signals, such as light, sound, and touch, are transduced at the periphery and subsequently transformed by various stages of neural circuitry, resulting in increasingly abstract representations through the sensory pathways of the brain. It is these representations that ultimately give rise t...

The paper first presents the integration options of what we call the Timing Description Language (TDL) with Mathworks' Simulink tools. Based on the paradigm of fixed logical execution time (FLET) as introduced by Giotto [2], TDL enhances Giotto towards a component architecture for real-time control applications [9]. The challenge is to provide appropriate visual and interactive modeling capabil...

We characterize a hitherto undocumented type of neuron present in the regions bordering the principal layers of the macaque lateral geniculate nucleus. Neurons of this type were distinguished by a high and unusually regular maintained discharge that was suppressed by spatiotemporal modulation of luminance or chromaticity within the receptive field. The response to any effective stimulus was a r...

The relative timing of auditory and visual stimuli is a critical cue for determining whether sensory signals relate to a common source and for making inferences about causality. However, the way in which the brain represents temporal relationships remains poorly understood. Recent studies indicate that our perception of multisensory timing is flexible--adaptation to a regular inter-modal delay ...

We present a deep recurrent neural network model with soft visual attention that learns to generate LTEX markup of real-world math formulas from their images. Applying neural sequence generation techniques that have been very successful in the fields of machine translation and image/handwriting/speech captioning, recognition, transcription and synthesis; we construct an image-tomarkup model tha...

Mammalian visual systems are characterized by their ability to recognize stimuli invariant to various transformations. Here, we investigate the hypothesis that this ability is achieved by the temporal encoding of visual stimuli. By using a model of a cortical network, we show that this encoding is invariant to several transformations and robust with respect to stimulus variability. Furthermore,...

Brain activity patterns differ from person to person, even for an identical stimulus. In functional brain mapping studies, it is important to align brain activity patterns between subjects for group statistical analyses. While anatomical templates are widely used for inter-subject alignment in functional magnetic resonance imaging (fMRI) studies, they are not sufficient to identify the mapping ...