The University of Michigan received a $665,893 Project Grant from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) to conduct research on "Consolidation and Interference of Hippocampal Spatial Maps." The research aims to use advanced machine learning techniques and large-scale population recordings to study how hippocampal ensemble activity during sleep supports stabilization of memories across different contexts or contributes to context-specific memory interference. Key objectives include further developing methods for analyzing the evolution of hippocampal neural codes during sleep, executing behavioral experiments to optimize for mapping hippocampal activity, and implementing closed-loop signal processing to test the necessity of sleep-associated neuronal patterns for context-specific memory expression. This 5-year project, beginning on Dec 15, 2024, is expected to provide critical insights into how hippocampal activity during sleep underlies proper memory function.
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