We present an ideal observer analysis of single word reading in normal readers and central scotoma patients. Using this technique we are able to predict the spatio-temporal pattern of saccades in terms of pixels. This enables us to contrast theories that are impossible to compare using the traditional letter-slot approaches to modelling reading.

We introduce the inertial-DNF (iDNF) model, an expansion of the dynamic neural filter (DNF) model, a model generating spatiotemporal patterns similar to those observed in the locust antennal lobes (ALs). The DNF model, which was described in previous works, includes one temporal scale defining the discrete dynamics inherent to the model. It lacks a second, slow, temporal scale that exists in th...

The evolution of solar magnetic arcades is investigated with the use of MHD simulations imposing resistivity on sheared magnetic elds. It is found that there is a critical amount of shear, over which magnetic reconnection can take place in an arcade-like eld geometry to create a magnetic island. The process leading to reconnection cannot be solely attributed to a tearing instability, but rather...

The pervasiveness of GPS-enabled mobile devices and the popularity of location-based services have generated, for the first time, massive data that represents the movements of people in the real world at a high resolution, aka spatiotemporal data. Such collections of spatiotemporal data constitute a rich source of information for studying various social behaviors, and in particular, give a boos...

Nowadays, there is a considerable amount of spatiotemporal data available on the web. The visualization of these data requires several visual resources which helps users to have a correct interpretation of the data set. Furthermore, the use of data mining algorithms has proven relevant in helping the exploratory analysis of spatiotemporal data. This paper proposes the GeoSTAT (GEOgraphic Spatio...

We present an alternative methodology for the stabilization and control of infinite-dimensional dynamical systems exhibiting low-dimensional spatiotemporal chaos. We show that with an appropriate choice of time-dependent controls we are able to stabilize and/or control all stable or unstable solutions, including steady solutions, traveling waves (single and multipulse ones or bound states), and...

In this paper, we study the emergence of spatiotemporal chaos from mixed-mode oscillations, by using an extended Oregonator model. We show that bursting dynamics consisting of fast/slow mixed mode oscillations along a single attractor can lead to spatiotemporal chaotic dynamics, although the spatially homogeneous solution is itself non-chaotic. This behavior is observed far from the Hopf bifurc...

Macroscopic systems subjected to injection and dissipation of energy can exhibit complex spatiotemporal behaviors as result of dissipative self-organization. Here, we report a one- and two-dimensional pattern forming setup, which exhibits a transition from stationary patterns to spatiotemporal chaotic textures, based on a nematic liquid crystal layer with spatially modulated input beam and opti...

It is often essential to create datasets with foreseeable characteristics. For the design and testing of advanced spatiotemporal pattern mining algorithms, adaptable and large datasets are needed. In this paper, we present a synthetic dataset generator, ERMO-DG, that is intended for creating spatiotemporal patterns. Generated datasets consist of spatiotemporal object instances of different feat...

Purpose: The present study aimed to determine the effect of dual-tasking on spatiotemporal characteristics in subjects with and without Anterior Cruciate Ligament Deficiency (ACLD) using linear dynamics. Methods: In this mixed model design study, spatiotemporal parameters were measured in 22 patients with ACLD (25.95±4.69 y) and 22 control subjects (24.32±3.37 y) while they were walking w...