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, Nina S. Hsu is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
2009 — 2011 |
Hsu, Nina Shen |
F31Activity Code Description: To provide predoctoral individuals with supervised research training in specified health and health-related areas leading toward the research degree (e.g., Ph.D.). |
The Role of Feature Diagnosticity in Semantic Memory @ University of Pennsylvania
DESCRIPTION (provided by applicant): The ultimate goal of the proposed research is to better understand the neural mechanisms underlying organization and storage of semantic memory. Elucidating the development and organization of semantic memory remains a critical problem in cognitive neuroscience, and various theories attempt to capture the mapping of conceptual representations for everyday objects onto their neural correlates. One prevalent model of semantic memory suggests that distributed object representations correspond to modality-specific sensorimotor brain areas. Numerous behavioral, neuropsychological, and neuroimaging studies have supported this model, but it remains an open question as to how varied sensory experience helps to shape long-term memory of objects. Specifically, feature diagnosticity may play an important role in forming the richness of an object's representational structure. This proposal seeks to investigate the relationship between experience and memory by training subjects on a set of novel objects, thus building controlled representations of the objects. Subjects will either learn a set of objects for which both color and shape are diagnostic, or for which only shape is a diagnostic feature. In Experiment 1,1 will examine behavioral changes in novel object representations through an object recognition task. I will also see how these changes vary as a function of learning style. Experiment 2 offers a direct test (through traditional univariate analyses) for neural correlates of feature diagnosticity by employing neuroimaging (fMRI) to investigate how diagnostic features alter neural representations of learned objects. Here, the extent to which diagnostic features modulate activity in brain regions responsible for perception of these features will be examined. Experiment 3 probes behavioral (multidimensional scaling) and neural (multi-voxel pattern analysis) representations of the similarity space and gradient of the newly learned objects, predicting significant correlations for the two representations in brain regions responsible for perceiving the diagnostic features. This proposal explores the role of feature diagnosticity in interactions of experience and knowledge to both shed light on the neural bases for visual knowledge organization and aid in understanding the nature of semantic knowledge deficits. Deficits in conceptual knowledge are associated with several disorders, including Alzheimer's Disease and Frontotemporal Dementia. A deeper knowledge of the neural bases underlying the organization and storage of conceptual knowledge will allow us to better understand the manifestation of specific conceptual knowledge deficits, which will in turn yield insight in informing patient treatments.
|
1 |
2014 — 2016 |
Hsu, Nina Shen |
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. |
Dynamic Behavioral and Neural Effects of Cognitive Control On Language Processing @ Univ of Maryland, College Park
DESCRIPTION (provided by applicant): Cognitive control allows individuals to adjust thoughts and actions on-the-fly upon discovering conflict across informational sources during processing; it is therefore critical to both memory and language functions (e.g., recognizing objects correctly despite interfering memoranda; recovering from temporary misinterpretation during reading or spoken language comprehension). The overall objective of this project is to understand the interplay among multiple cognitive systems, whether the same cognitive control functions operate systematically across conflict types that arise in different domains, and to characterize the behavioral and neurobiological mechanisms that underlie their interaction. In doing so, this research will contribute to our knowledge about shared language and memory functions and the extent to which cognitive control engagement in one domain influences performance in another. Specifically, this proposal tests whether the experience of information conflict within memory alters subsequent conflict-control procedures in language processing, ultimately deriving quantitative assessments of these effects in both brain and behavior. This project has three specific aims. The first is to test how the experience of information-conflict during non- linguistc task performance (and thus the engagement of cognitive control) affects real-time language processing, indexed by eye-movement patterns to objects in a scene as listeners carry out spoken instructions. Experiment 1 harnesses the phenomenon of conflict adaptation (wherein conflict detection triggers cognitive control to facilitate conflict resolution on a subsequent tril) to examine whether listeners dynamically adjust language processing behavior (e.g., easier recovery from misinterpretation) following conflict detection in the Stroop task, a classic cognitive control measure. Second, this proposal examines neurobiological changes during language processing depending on whether cognitive control has been triggered by a preceding conflict trial outside the syntactic domain. Experiment 2 utilizes single-trial analysis of fMRI daa to form a quantitative link between fMRI signal amplitude and both eye-tracking and behavioral indexes of resolving syntactic ambiguity. Third, this proposal investigates the extent to which a wide range of ostensibly different tasks share a common conflict-control mind state. Experiment 3 includes a battery of memory and language tasks with high cognitive control demands to test whether machine-learning algorithms (i.e., multi-voxel pattern analysis, or MVPA) can accurately classify conflict states broadly across domains. The proposed experiments adopt converging eye-tracking and neuroimaging techniques (single-trial and multivariate analyses) to help address a central issue in cognitive science: how language processing is relatively affected by the engagement status of the cognitive control system. Because cognitive control deficits affect patients' memory and language performance alike, elucidating the dynamic interplay between these cognitive systems has major health implications.
|
0.927 |