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, Diane M. Beck is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
2007 — 2008 |
Beck, Diane Marie |
R03Activity Code Description: To provide research support specifically limited in time and amount for studies in categorical program areas. Small grants provide flexibility for initiating studies which are generally for preliminary short-term projects and are non-renewable. |
The Neural Bases of Perceptual Capacity Limitations @ University of Illinois Urbana-Champaign
[unreadable] DESCRIPTION (provided by applicant): The limited processing capacity of the human visual system is clear whenever we look at a crowded or cluttered scene. We have all experienced the difficulty in finding the face of a friend in a crowd. Despite our familiarity with the face we are looking for, such a search is almost always a slow and serial one; we cannot process all the faces at once. In the proposed set of experiments we plan to investigate the neural underpinnings of this limited processing capacity. Why is it that we can process only a limited number of items at a time? The biased competition theory of selective attention posits one explanation for this limitation. Both single-cell and fMRI studies have shown that when multiple nearby stimuli appear simultaneously in the visual field, they are not processed independently, but interact in a mutually suppressive way. Moreover, this competition has been shown to occur most strongly at the level of the receptive field (RF). Processing capacity limitations, by this theory then, are a consequence of competition among stimuli for neural representation at a sensory level. However, much of the behavioral literature on processing capacity limitations, have considered processing limitations to be a consequence of a limited attentional capacity; that is, a limit in our ability to direct attention towards multiple items, a function generally associated with the frontoparietal cortex. The objective of the proposed experiments is to use fMRI to investigate whether neural competition in the visual cortex can explain the limited processing capacity of the visual system or whether limited processing capacity is better reflected in the activity of the frontoparietal cortex and our ability to direct attention to multiple locations. The experiments proposed here should further our understanding of the interaction of visual processes and attention, as well as provide a deeper understanding of the neural basis of our limited processing capacity. Understanding the neural mechanism that constrain the number of visual items we can process effectively at any one time may have important implications in treating a variety of behavioral and brain disorders that result in diminished attentional capacity, including attention deficit disorder, Alzheimer's disease, and unilateral neglect syndrome. [unreadable] [unreadable] [unreadable]
|
1 |
2013 — 2016 |
Beck, Diane Marie |
R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Investigating Frontoparietal and Occipitotemporal Contributions to Awareness @ University of Illinois At Urbana-Champaign
DESCRIPTION (provided by applicant): A visual event can often go unnoticed, even though it can be readily detected at other times. What are the neural mechanisms that determine whether or not we are aware of a visual event? In the proposed set of experiments we plan to investigate the neural underpinnings of visual awareness. In particular, we propose a novel combination of neuroimaging with high temporal and spatial resolution and direct perturbation of cortical activity to understand the interactions between frontoparietal and occipitotemporal cortex in the service of visual awareness. Because the interactions among cortical areas responsible for our final percept happen on a short time scale, they have been inherently difficult to map out. The high spatial and temporal resolution of the event-related optical signal (EROS) allows us to measure these fast interactions between areas. Furthermore, by combining EROS with single-pulse transcranial magnetic stimulation (TMS) we can not only measure the neural response to stimuli but also observe the response of the system to perturbations (via TMS) of specific nodes in the network. These methods will allow us to determine whether awareness depends on feedback from frontoparietal cortex as well as contribution of frontoparietal activity to ongoing oscillatory brain activity and its influnce on awareness. Across all the experiments proposed here, we will gain valuable insight into the interactions of frontoparietal and occipitotemporal mechanisms responsible for our visual experience. Such knowledge can have implications for normal vision and a range of visual disorders that are cortical in their origin, such as hemianopia and the visual agnosias, as well as provide valuable information for designing visual prostheses. A deeper understanding of the frontoparietal network and its interaction with ongoing processing in visual cortex could also provide insight to a variety of attention-related brain disorders such as Attention Deficit / Hyperactivity Disorder (ADHD), unilateral neglect syndrome, Alzheimer's disease, autism and schizophrenia.
|
1 |