The National Science Foundation (NSF) awarded a $147,704 project grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Utah Office of Sponsored Projects Division. The goal of this 3-month project is to build and evaluate a system for exploring how the human brain processes information in everyday real-world environments. The key products and services include:
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Developing a framework to synchronize neuronal activity recordings with data from Internet of Things (IoT) sensors capturing the participant's first-person experience, enabling the analysis of how changes in neural patterns relate to real-world experiences.
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Leveraging neural-symbolic approaches to align the perception capabilities of deep learning with human logic, in order to reason about the complex spatiotemporal dependencies across the sensor data.
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Enhancing episodic memories of real-world experiences through the application of wireless deep brain stimulation to the human amygdala, timed according to event boundaries, and evaluating the memory improvements in both laboratory and real-world settings.
The project aims to advance the intersection of computer science, engineering, cognition, and clinical neuroscience, with potential therapeutic applications for cognitive disorders.
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