| NSF Org: |
DRL Division of Research on Learning in Formal and Informal Settings (DRL) |
| Recipient: |
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| Initial Amendment Date: | August 22, 2023 |
| Latest Amendment Date: | August 22, 2023 |
| Award Number: | 2319493 |
| Award Instrument: | Standard Grant |
| Program Manager: |
David Daniel
ddaniel@nsf.gov (703)292-0000 DRL Division of Research on Learning in Formal and Informal Settings (DRL) EDU Directorate for STEM Education |
| Start Date: | September 1, 2023 |
| End Date: | December 31, 2023 (Estimated) |
| Total Intended Award Amount: | $1,013,101.00 |
| Total Awarded Amount to Date: | $1,013,101.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
4200 FIFTH AVENUE PITTSBURGH PA US 15260-0001 (412)624-7400 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
4200 FIFTH AVENUE PITTSBURGH PA US 15260-0001 |
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Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): |
ECR-EDU Core Research, IntgStrat Undst Neurl&Cogn Sys |
| Primary Program Source: |
04002324DB NSF STEM Education |
| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.075, 47.076 |
ABSTRACT
It is critical for people around the world to be able to learn new skills and information throughout their lives, although often people differ in their proficiency to do so. For example, while all adults are capable of some extent of non-native speech sound category learning with optimized behavioral training paradigms, some people achieve high levels of proficiency with extensive training, while many others fail to overcome fundamental challenges. Prior work has attempted to explain individual differences in learning using static "traits" that are thought to change very little over time - e.g., working memory span, IQ, and musical ability. However, recent work has suggested that a major source of variability is the constantly changing "states" of the brain during learning. Scientists are at a unique moment where advances in cognitive and systems neuroscience, computational behavioral modeling, and neuromodulation (the ability to manipulate neural systems safely and non-invasively in humans) will allow us to achieve a unified, cohesive, neuroscience-based model of learning that explains individual differences. Using information gleaned from a series of studies in both human and animal models, this project seeks to develop a non-invasive device that integrates attention (pupil dilation) and its modulation (vagal nerve stimulation) toward the goal of problem solving, in this case second-language learning. Success in this endeavor will enable the development of novel neurotechnologies and training regimens that will make challenging tasks like second language acquisition accessible to wide array of underserved and overlooked communities in education.
The main goal of this study is to take an integrative approach to understanding an underappreciated set of critical factors that are hypothesized to underly individual variability in perceptual learning: task-related dynamic neural states. Subcortical arousal systems (e.g., noradrenergic, cholinergic, and dopaminergic) have a substantial impact on cortical circuit function during distinct phases of a learning task, including pre-stimulus periods, stimulus encoding, and feedback monitoring. By studying each of these task phases at multiple scales, from specific neuromodulators and single neurons in mice, to population neurophysiology and dynamic behavior in mice and humans, it will be possible to explain substantially more variability in learning than is currently possible. Furthermore, researchers will leverage a neuromodulation approach, vagus nerve stimulation (VNS), to regulate the activity of these neuromodulatory systems and help improve learning performance in a targeted and highly dynamic way. Using a multi-modal, cross-species (humans and rodents) approach, the researchers propose a conceptual framework where rapidly changing and high dimensional neural states have dynamics that cut across traditional boundaries of human trait categories, such as memory capacity and perceptual experience, and neuromodulatory system functions, such as arousal, attention, and reward signaling. This multi-scale approach is all tied together with concurrent measurement of pupil-linked arousal, population neural dynamics, and trial-by-trial behavioral performance. This work will have transformative implications for understanding why individuals struggle to learn important skills in adulthood, and will advance the development of simple, cheap, and safe tools for enhancing performance and leveling the playing field across diverse communities.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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