Justin P. Halberda, Ph.D. - US grants
Affiliations: | Psychological and Brain Sciences | Johns Hopkins University, Baltimore, MD |
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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.
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High-probability grants
According to our matching algorithm, Justin P. Halberda is the likely recipient of the following grants.Years | Recipients | Code | Title / Keywords | Matching score |
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2009 — 2012 | Halberda, Justin | N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
The Psychophysical Assessment of Number-Sense Acuity @ Johns Hopkins University All humans, irrespective of education, share a "number sense" that helps us understand mathematics. Even 5-month-old infants have this sense and can recognize the numeric difference between 6 and 12 dots on a screen. Yet there are many questions about the number sense for which we do not yet know the answers: 1) Do people vary in how accurate their number sense is across the lifespan? 2) Do these differences predict mathematics achievement? 3) Can interventions improve number sense and thereby strengthen performance in school mathematics? The aim of this project is to create a freely available assessment software that will return a standardized estimate of the accuracy of any person's number sense, filling a crucial hole in our current science. |
0.915 |
2009 — 2013 | Feigenson, Lisa Halberda, Justin |
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. |
Development and Function of Nonverbal Number Approximation @ Johns Hopkins University DESCRIPTION (provided by applicant): Behavioral, neuropsychological, and brain imaging research points to a dedicated system for processing number that is shared across development and across species (Dehaene, 1998;Feigenson et al., 2004). This foundational Approximate Number System (henceforth, the ANS) forms amodal representations of the number of objects, sounds, or events in a scene. Importantly, it is imprecise, and in this way differs from exact verbal counting. This system serves as a basis for more sophisticated, uniquely human mathematical abilities involving symbolic calculation. While these aspects of this system for numerical approximation have been well documented, they also raise important questions. First, how does the acuity of the approximate number system change over the course of development? Evidence suggests that infants have less precise ANS representations than adults, yet qualitative changes in the ANS between infancy and adulthood remain almost entirely undescribed. Second, how early in development is the ANS engaged, and what is its early acuity? At present nothing is known of numerical approximation in children younger than 6 months old. Third, what are the individual differences in the acuity of this system across the lifespan? Although previous research suggests that, on average, adults can discriminate arrays differing by a 7:8 ratio, individual adults may vary widely in ANS acuity. Fourth, what are the individual differences in children's numerical approximation abilities? Variation in the precision of individual children's ANS representations may remain stable over development, or may fluctuate with age and experience. Fifth, what is the relationship between individual differences in the acuity of the ANS and performance on tests of symbolic math ability? Identifying the relationship between the ANS and math performance may be critical to the goals of identifying subtypes of math deficits and improving children's math proficiency. Sixth, what mechanism underlies developmental improvement in the ANS? While maturation may play a role, experience may also serve to hone ANS acuity. The current project aims to answer these questions by examining the numerical abilities of infants, children, and adults, and in doing so to characterize the development of a foundational mechanism for representing number. Ultimately, the proposed studies will contribute to the broader goal of understanding continuities and discontinuities in the development of quantitative knowledge. Given that by some estimates 3 to 7% of the general population (1 in 15) suffers from some form of numerical processing deficit (dyscalculia), this project may have important repercussions for studying impairments in numerical cognition. Patients suffering damage to the ANS due to disease or stroke, those with genetically mediated dyscalculia, and children with math- specific deficits will benefit from an understanding of the development and function of the Approximate Number System because of the importance of numerical reasoning to daily and professional life. PUBLIC HEALTH RELEVANCE: The proposed project aims to contribute to the larger goal of understanding numerical thinking by investigating approximate number representations in normally-developing infants, children, and adults. In documenting the development of numerical approximation, individual differences in numerical approximation, and the relationship between numerical approximation and mathematics performance, this project may have repercussions for understanding disorders of numerical processing and for strategies for improving math education. |
0.915 |
2011 — 2014 | Halberda, Justin | N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Empirical Research - Collaborative Research - a Bayesian Approach to Number Reasoning @ Johns Hopkins University The ultimate goal of this project is to provide a novel model of the cognitive and neural basis of numerical cognition, and to use this knowledge to guide the development of new training methods that could improve mathematical abilities in children. The project is a collaboration among investigators at the University of Rochester, Johns Hopkins University, and Cold Spring Harbor Laboratories. Recent research suggests that acuity of numerosity judgments is predictive of success in formal mathematics education, and that similar cognitive processes can be trained by specific kinds of domain-general experience. The core idea is that the firing of neurons encodes a probability distribution, thereby representing simultaneously the most probable sample from the distribution and the variance (i.e., confidence) of the estimate. |
0.915 |