Area:
visual system, object recognition, computational models
We are testing a new system for linking grants to scientists.
The funding information displayed below comes from the
NIH Research Portfolio Online Reporting Tools and the
NSF Award Database.
The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
You can help! If you notice any innacuracies, please
sign in and mark grants as correct or incorrect matches.
Sign in to see low-probability grants and correct any errors in linkage between grants and researchers.
High-probability grants
According to our matching algorithm, Dina V. Popovkina is the likely recipient of the following grants.
| Years |
Recipients |
Code |
Title / Keywords |
Matching
score |
| 2020 — 2021 |
Popovkina, Dina V |
F32Activity Code Description:
To provide postdoctoral research training to individuals to broaden their scientific background and extend their potential for research in specified health-related areas. |
How Does Dividing Attention Limit Object Recognition and Modify Relevant Neural Activity? @ University of Washington
PROJECT SUMMARY/ABSTRACT The information that reaches our eyes doesn?t always correspond to what we perceive. Attention strongly influences what we see and how we interpret the world. At the same time, our daily activities often require us to divide attention across two or more things. Previous studies quantifying how much divided attention degrades task performance have produced varying results, and the neural bases for these effects are poorly understood. My proposal builds on recent studies of divided attention to masked words, which were consistent with an attentional bottleneck (only one word can be processed at a time). Specifically, I will pursue the hypothesis that divided attention effects in object recognition are due to an attentional bottleneck. I plan to use a combination of theory-driven psychophysics and functional neuroimaging to investigate (1) how much divided attention impairs human ability to recognize objects, (2) how much divided attention changes neural activity, and where in the brain this takes place, and (3) whether divided attention can explain why patients with posterior cortical atrophy (a variant of Alzheimer?s disease affecting visual areas) exhibit deficits in recognizing simultaneously presented objects. Studying vision and attention together can have powerful implications for our understanding of the relationship between brain and behavior. My findings will make an impact by informing theories of how cognitive states relate to brain activity, and how these changes underlie the limits in our ability to make perceptual judgments. Beyond the benefit to advancing the fields of visual and attentional processing, the proposed research will also make an impact in understanding conditions involving deficits in perceptual and attentional processing functions, including aging and dementias.
|
1 |