Attention selects informative neural populations
نویسندگان
چکیده
منابع مشابه
Attention selects informative neural populations in human V1.
In a neural population driven by a simple grating stimulus, different subpopulations are maximally informative about changes to the grating's orientation and contrast. In theory, observers should attend to the optimal subpopulation when switching between orientation and contrast discrimination tasks. Here we used source-imaged, steady-state visual evoked potentials and visual psychophysics to d...
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Visual attention spreads over a range around the focus as the spotlight metaphor describes. Spatial spread of attentional enhancement and local selection/inhibition are crucial factors determining the profile of the spatial attention. Enhancement and ignorance/suppression are opposite effects of attention, and appeared to be mutually exclusive. Yet, no unified view of the factors has been provi...
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Computation in the brain involves multiple types of neurons, yet the organizing principles for how these neurons work together remain unclear. Information theory has offered explanations for how different types of neurons can maximize the transmitted information by encoding different stimulus features. However, recent experiments indicate that separate neuronal types exist that encode the same ...
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The present study investigates the innuence of attention modulation on neural tuning functions. It has been shown in experiments that attention modulation alters neural tuning curves. Attention has been considered , at least, to serve to resolve limiting capacities and to increase the sensitivity to attended stimulus, while the exact functions of attention are still under debate. Inspired by re...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2011
ISSN: 1534-7362
DOI: 10.1167/11.11.221