Sparse Embedding Visual Attention Systems Combined with Edge Information

2010 ◽  
Author(s):  
Cairong Zhao ◽  
ChuanCai Liu ◽  
Zhihui Lai ◽  
Jingyu Yang
Keyword(s):  
Visual Attention ◽  
Edge Information ◽  
Attention Systems

scholarly journals Decreased Visual Attention Further from the Perceived Direction of Gaze for Equidistant Retinal Targets

2011 ◽  
Vol 23 (3) ◽  
pp. 661-669 ◽  
Author(s):  
Daniela Balslev ◽  
Emma Gowen ◽  
R. Chris Miall
Keyword(s):  
Visual Attention ◽  
Visual Processing ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Eye Position ◽  
Eye Muscle ◽  
Visual Hemifield ◽  
Proprioceptive Signal ◽  
Visual Targets ◽  
Attention Systems ◽  
The Right

The oculomotor and spatial attention systems are interconnected. Whereas a link between motor commands and spatial shifts in visual attention is demonstrated, it is still unknown whether the recently discovered proprioceptive signal in somatosensory cortex impacts on visual attention, too. This study investigated whether visual targets near the perceived direction of gaze are detected more accurately than targets further away, despite the equal eccentricity of their retinal projections. We dissociated real and perceived eye position using left somatosensory repetitive transcranial magnetic stimulation (rTMS), which decreases cortical processing of eye muscle proprioceptive inflow and produces an underestimation of the rotation of the right eye. Participants detected near-threshold visual targets presented in the left or right visual hemifield at equal distance from fixation. We have previously shown that when the right eye is rotated to the left of the parasagittal plane, TMS produces an underestimation of this rotation, shifting perceived eye position to the right. Here we found that, in this condition, TMS also decreased target detection in the left visual hemifield and increased it in the right. This effect depended on the direction of rotation of the right eye. When the right eye was rotated rightward and TMS, we assume, shifted perceived gaze direction in opposite direction, leftward, visual accuracy decreased now in the right hemifield. We suggest that the proprioceptive eye position signal modulates the spatial distribution of visual processing resources, producing “pseudo-neglect” for objects located far relative to near the perceived direction of gaze.

Visual Attention Systems

2001 ◽  
pp. 197-207
Author(s):  
Virginio Cantoni ◽  
Massimo Cellario
Keyword(s):  
Visual Attention ◽  
Attention Systems

“Pop-Out”

2016 ◽  
Author(s):  
James H. Austin
Keyword(s):  
Visual Attention ◽  
Specific Item ◽  
Attention Systems

This chapter considers the mechanisms responsible for the pop-out phenomenon. The evidence from magnetoencephalography suggests that both dorsal and ventral attention systems participate, simultaneously, when one specific item so captures visual attention. Disengaging attention is also fundamental.

Computational visual attention systems and their cognitive foundations

2010 ◽  
Vol 7 (1) ◽  
pp. 1-39 ◽  
Author(s):  
Simone Frintrop ◽  
Erich Rome ◽  
Henrik I. Christensen
Keyword(s):  
Visual Attention ◽  
Cognitive Foundations ◽  
Attention Systems

Sparse embedding visual attention system combined with edge information

2011 ◽  
Vol 65 (12) ◽  
pp. 1061-1068 ◽  
Author(s):  
Cairong Zhao ◽  
Chuancai Liu ◽  
Zhihui Lai ◽  
Huaming Rao ◽  
Zuoyong Li
Keyword(s):  
Visual Attention ◽  
Edge Information ◽  
Attention System

Towards Spike based Models of Visual Attention in the Brain

2015 ◽  
Vol 6 (2) ◽  
pp. 117-138
Author(s):  
Terje Kristensen
Keyword(s):  
Visual Attention ◽  
Communication Model ◽  
Attention Network ◽  
Attention Networks ◽  
Multi Agent ◽  
Biological Neuron ◽  
The Moment ◽  
Attention Systems ◽  
The Brain

A numerical solution of Hodgkin Huxley equations is presented to simulate the spiking behavior of a biological neuron. The solution is illustrated by building a graphical chart interface to finely tune the behavior of the neuron under different stimulations. In addition, a Multi-Agent System (MAS) has been developed to simulate the Visual Attention Network Model of the brain. Tasks are assigned to the agents according to the Attention Network Theory, developed by neuroscientists. A sequential communication model based on simple objects has been constructed, aiming to show the relations and the workflow between the different visual attention networks. Each agent is being used as an analogy to a role or function of the visual attention systems in the brain. Some experimental results based on this model have been presented in an earlier paper. The two approaches are at the moment not integrated. The long term goal is to develop an integrated parallel layered object model of the visual attention process, as a tool for simulating neuron interactions described by Hodgkin Huxley's equations or the Leaky-Integrate-and-Fire model.

Rehabilitation of Attention

2003 ◽  
Vol 14 (3) ◽  
pp. 165-170 ◽  
Author(s):  
Ian H. Robertson
Keyword(s):  
Brain Damage ◽  
Dependent Plasticity ◽  
Attention Systems ◽  
The Brain

Abstract: In this paper, evidence is reviewed for separable attention systems in the brain, and it is argued a) that attention may have a privileged role in mediating experience dependent plasticity in the brain and b) that at least some types of attention may be capable of rehabilitation following brain damage.

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