322,877 research outputs found
Non-linear integration of crowded orientation signals
AbstractCrowding of oriented signals has been explained as linear, compulsory averaging of the signals from target and flankers [Parkes, L., Lund, J., Angelucci, A., Solomon, J. A., & Morgan, M. (2001). Compulsory averaging of crowded orientation signals in human vision. Nature Neuroscience, 4(7), 739–744]. On the other hand, a comparable search task with sparse stimuli is well modeled by a ‘Signed–Max’ rule that integrates non-linearly local tilt estimates [Baldassi, S., & Verghese, P. (2002). Comparing integration rules in visual search. Journal of Vision, 2(8), 559–570], as reflected by the bimodality of the distributions of reported tilts in a magnitude matching task [Baldassi, S., Megna, N., & Burr, D. C. (2006). Visual clutter causes high-magnitude errors. PLoS Biology, 4(3), e56]. This study compares the two models in the context of crowding by using a magnitude matching task, to measure distributions of perceived target angles and a localization task, to probe the degree of access to local information. Response distributions were bimodal, implying uncertainty, only in the presence of abutting flankers. Localization of the target is relatively preserved but it quantitatively falls in between the predictions of the two models, possibly suggesting local averaging followed by a max operation. This challenges the notion of global averaging and suggests some conscious access to local orientation estimates
Methods to Reproduce In-Plane Deformability of Orthotropic Floors in the Finite Element Models of Buildings
In the modelling of reinforced concrete (RC) buildings, the rigid diaphragm hypothesis to represent the in-plane behavior of floors was and still is very commonly adopted because of its simplicity and computational cheapness. However, since excessive floor in-plane deformability can cause a very different redistribution of lateral forces on vertical resisting elements, it may be necessary to consider floor deformability. This paper investigates the classical yet intriguing question of modeling orthotropic RC floor systems endowed with lightening elements by means of a uniform orthotropic slab in order to describe accurately the building response under seismic loads. The simplified method, commonly adopted by engineers and based on the equivalence between the transverse stiffness of the RC elements of the real floor and those of the orthotropic slab, is presented. A case study in which this simplified method is used is also provided. Then, an advanced finite element (FE)-based method to determine the elastic properties of the equivalent homogenized orthotropic slab is proposed. The novel aspect of this method is that it takes into account the interaction of shell elements with frame elements in the 3D FE model of the building. Based on the results obtained from the application of this method to a case study, a discussion on the adequacy of the simplified method is also provided
Search for motion direction: Pop-out and set-size dependencies explained by stimulus and intrinsic uncertainty
We measured motion coherence and contrast thresholds for determining the direction of motion of a random dot pattern. Dots within a "target" region falling in one of 8 positions equally spaced around a circle moved either leftwards or rightwards (limited life 2-4 frames) for 150 ms. Subjects were required to identify the direction of motion, not the position of the patch. The target was cued by a partial cueing technique, where 1, 2, 4 or 8 spokes pointed to the target, as well as to a variable number of "distractors". The 8 potential-target regions could either be contiguous with the background random dots or be windowed as distinct stimuli behind a grey background. Coherence thresholds were lowest when the target was cued by a single spoke, and increased with the square-root of the number of spokes. We also measured contrast sensitivity for motion direction and found no set-size effect; but if we added a field of high-contrast noise dots only on the target and distractor regions, there was a square-root set-size effect for contrast thresholds. Interestingly, in conditions where a set-size effect was observed, the slope of the psychometric function also increased with set-size; when set-size had no effect on threshold, the slope of the psychometric function was always steep. A model based on the largest response of the pool of monitored detectors predicts that the slope of psychometric function increases with set-size (uncertainty), and that the presence or absence of a set size effect depends on stimulus and intrinsic uncertainty. The high intrinsic uncertainty for contrast thresholds may reflect an underlying large neuronal population (such as V1), while the low uncertainty associated with coherence thresholds may reflect a smaller population with large receptive fields (such as MT)
Methods to Reproduce In-Plane Deformability of Orthotropic Floors in the Finite Element Models of Buildings
In the modelling of reinforced concrete (RC) buildings, the rigid diaphragm hypothesis to represent the in-plane behavior of floors was and still is very commonly adopted because of its simplicity and computational cheapness. However, since excessive floor in-plane deformability can cause a very different redistribution of lateral forces on vertical resisting elements, it may be necessary to consider floor deformability. This paper investigates the classical yet intriguing question of modeling orthotropic RC floor systems endowed with lightening elements by means of a uniform orthotropic slab in order to describe accurately the building response under seismic loads. The simplified method, commonly adopted by engineers and based on the equivalence between the transverse stiffness of the RC elements of the real floor and those of the orthotropic slab, is presented. A case study in which this simplified method is used is also provided. Then, an advanced finite element (FE)-based method to determine the elastic properties of the equivalent homogenized orthotropic slab is proposed. The novel aspect of this method is that it takes into account the interaction of shell elements with frame elements in the 3D FE model of the building. Based on the results obtained from the application of this method to a case study, a discussion on the adequacy of the simplified method is also provided
Pooling and segmenting motion signals
Humans are extremely sensitive to visual motion, largely because local motion signals can be integrated over a large spatial region. On the other hand, summation is often not advantageous, for example when segmenting a moving stimulus against a stationary or oppositely moving background. In this study we show that the spatial extent of motion integration is not compulsory, but is subject to voluntary attentional control. Measurements of motion coherence sensitivity with summation and search paradigms showed that human observers can combine motion signals from cued regions or patches in an optimal manner, even when the regions are quite distinct and remote from each other. Further measurements of contrast sensitivity reinforce previous studies showing that motion integration is preceded by a local analysis akin to contrast thresholding (or intrinsic uncertainty). The results were well modelled by two standard signal-detection-theory models. (C) 2008 Elsevier Ltd. All rights reserved
Spatiotemporal mechanisms of perisaccadic vision revealed by psychophysical reverse correlation
Infectious diseases seeker (Ids): An innovative tool for prompt identification of infectious diseases during outbreaks
Background: Several technologies for rapid molecular identification of pathogens are currently available; jointly with monitoring tools (i.e., web-based surveillance tools, infectious diseases modelers, and epidemic intelligence methods), they represent important components for timely outbreak detection and identification of the involved pathogen. The application of these approaches is usually feasible and effective when performed by healthcare professionals with specific expertise and skills and when data and resources are easily accessible. Contrariwise, in the field situation where healthcare workers or first responders from heterogeneous competences can be asked to investigate an outbreak of unknown origin, a simple and suitable tool for rapid agent identification and appropriate outbreak management is highly needed. Most especially when time is limited, available data are incomplete, and accessible infrastructure and resources are inadequate. The use of a prompt, user-friendly, and accessible tool able to rapidly recognize an infectious disease outbreak and with high sensitivity and precision may be a game-changer to support emergency response and public health investigations. Methods: This paper presents the work performed to implement and test an innovative tool for prompt identification of infectious diseases during outbreaks, called Infectious Diseases Seeker (IDS). IDS is a standalone software that runs on the most common operative systems. It has been built by integrating a database containing an interim set of 60 different disease causative agents and COVID-19 data and is able to work in an off-line mode without requiring a network connection. Results: IDS has been applied in a real and complex scenario in terms of concomitant infectious diseases (yellow fever, COVID-19, and Lassa fever), as can be in the second part of 2020 in Nigeria. The outcomes have allowed inferring that yellow fever (YF), and not Lassa fever, was affecting the area under investigation. Conclusions: Our result suggests that a tool like IDS could be valuable for the quick and easy identification and discrimination of infectious disease outbreaks even when concurrent outbreaks occur, like for the case study of YF and COVID-19 pandemic in Nigeria
Spatial frequency selectivity during saccadic eye movements revealed by masking
Purpose: Low but not high spatial frequencies are suppressed during saccades (Burr et al., J. Physiol. 1982), probably because of selective suppression of the magnocellular pathway (Burr et al., Nature 1994). Here we investigate further the mechanisms for the suppression, using masking techniques. Methods: Contrast sensitivity for horizontally oriented test grating patches of low spatial frequency (0.07 c/deg) was measured in the presence of continuously displayed, randomly jittering mask gratings of variable contrast and spatial frequency, using a forced-choice procedure. The test gratings were presented briefly (8 ms) during normal vision and during large horizontal saccades. Results: Sensitivity decreased with mask contrast, with a similar (near linear) dependency during normal viewing and during saccades. For both normal and saccadic viewing, maximum reduction in sensitivity occurred when the mask had the same spatial frequency as that of the test (0.07 c/deg), at all levels of mask contrast. Conclusions: That maximum masking occurs at the same spatial frequency of the test implies that mechanisms selective to low spatial frequencies are not totally suppressed during saccades, but continue to operate with reduced sensitivity. This result fits well with the acceleration of the impulse response for luminance but not for chromatic stimuli during saccades (Burr and Morrone, Vision Res. 1996), that may result from gain changes in the magnocellular pathway during saccades
Spatiotemporal dynamics of perisaccadic remapping in humans revealed by classification images
We actively scan our environment with fast ballistic movements called saccades, which create large and rapid displacements of the image on the retina. At the time of saccades, vision becomes transiently distorted in many ways: Briefly flashed stimuli are displaced in space and in time, and spatial and temporal intervals appear compressed. Here we apply the psychophysical technique of classification images to study the spatiotemporal dynamics of visual mechanisms during saccades. We show that saccades cause gross distortions of the classification images. Before the onset of saccadic eye movements, the positive lobes of the images become enlarged in both space and in time and also shifted in a systematic manner toward the pre-saccadic fixation (in space) and anticipated in time by about 50 ms. The transient reorganization creates a spatiotemporal organization oriented in the direction of saccadic-induced motion at the time of saccades, providing a potential mechanism for integrating stimuli across saccades, facilitating stable and continuous vision in the face of constant eye movements
APPLICATION OF SPATIO-TEMPORAL EPIDEMIOLOGICAL MODELER (STEM) TO AN ANTHROPIC SMALLPOX DIFFUSION SCENARIO
The use of mathematical models to simulate the diffusion of biological agents represents an essential tool to understand the dynamics of epidemic spread. In particular, mathematical models can be applied to scenarios of deliberate release of biological warfare agents, e.g., during simulations of a terrorist attack, to evaluate their potential effects and to study possible strategies to implement effective countermeasures. In this paper, an open-source software named Spatio-Temporal Epidemiological Modeler (STEM) has been applied to a possible scenario of deliberate release of smallpox virus by an unknown terrorist group in Italy. By providing boundary conditions derived from the literature, and making conservative preliminary assumptions, it was possible to recreate a reference scenario for the voluntary diffusion of smallpox, while providing an insight into the application of user-friendly tools for the implementation of epidemiological models as a support for decision makers in the field of biosecurity
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