Imaging Brain Attention Systems: Control and Selection in Vision

2009 ◽  
pp. 353-377
Author(s):  
George R. Mangun ◽  
Sean P. Fannon ◽  
Joy J. Geng ◽  
Clifford D. Saron
Keyword(s):  
Systems Control ◽  
Attention Systems

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.

Primary motor cortex stimulation affects visual guidance and attention systems

2014 ◽  
Author(s):  
Thomas Taylor ◽  
Mickie Vanhoy ◽  
Jingjing Wang ◽  
Shanshan Haung
Keyword(s):  
Motor Cortex ◽  
Primary Motor Cortex ◽  
Motor Cortex Stimulation ◽  
Visual Guidance ◽  
Attention Systems

Queuing Theory Applications to Communication Systems: Control of Traffic Flows and Load Balancing

2006 ◽  
pp. 991-1022 ◽  
Author(s):  
Panlop Zeephongsekul ◽  
Anthony Bedford ◽  
James Broberg ◽  
Peter Dimopoulos ◽  
Zahir Tari
Keyword(s):  
Load Balancing ◽  
Communication Systems ◽  
Queuing Theory ◽  
Traffic Flows ◽  
Systems Control

Bio-fusion for intelligent systems control

1999 ◽  
Author(s):  
John D. Norseen ◽  
Juri D. Kropotov ◽  
Inna Z. Kremen
Keyword(s):  
Intelligent Systems ◽  
Systems Control

scholarly journals Sex differences in eye gaze and symbolic cueing of attention

2005 ◽  
Vol 58 (4) ◽  
pp. 631-650 ◽  
Author(s):  
Andrew P. Bayliss ◽  
Giuseppe di Pellegrino ◽  
Steven P. Tipper
Keyword(s):  
Normal Population ◽  
Eye Gaze ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Exogenous Orienting ◽  
Brain Theory ◽  
Attention Systems ◽  
Symbolic Cues ◽  
Extreme Male Brain Theory ◽  
Gaze Cues

Observing a face with averted eyes results in a reflexive shift of attention to the gazed-at location. Here we present results that show that this effect is weaker in males than in females (Experiment 1). This result is predicted by the ‘extreme male brain’ theory of autism (Baron-Cohen, 2003), which suggests that males in the normal population should display more autism-like traits than females (e.g., poor joint attention). Indeed, participants′ scores on the Autism-Spectrum Quotient (Baron-Cohen, Wheelwright, Stott, Bolton, & Goodyear, 2001) negatively correlated with cueing magnitude. Furthermore, exogenous orienting did not differ between the sexes in two peripheral cueing experiments (Experiments 2a and 2b). However, a final experiment showed that using non-predictive arrows instead of eyes as a central cue also revealed a large gender difference. This demonstrates that reduced orienting from central cues in males generalizes beyond gaze cues. These results show that while peripheral cueing is equivalent in the male and female brains, the attention systems of the two sexes treat noninformative symbolic cues very differently.

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