Understanding how experience shapes brain function requires tools that can integrate complex neural and behavioral data with molecular and cellular resolution. To address this need, I developed brainFrame, an open-source preprocessing and synchronization pipeline that integrates multimodal datasets—including neural recordings, behavioral tracking, and event timestamps—into a single, analysis-ready format. brainFrame enables robust temporal alignment of video data, local field potentials (LFPs), spike times, and TTL events, supporting scalable, transparent, and reproducible analysis of neural activity in freely behaving animals.
Leveraging this platform, I investigated how the activity-dependent transcription factor NPAS4 regulates hippocampal circuit function during sleep. Prior work has shown that NPAS4 reorganizes inhibitory inputs onto CA1 pyramidal neurons in an experience- and compartment-specific manner. My work explores how this inhibitory reorganization affects hippocampal firing dynamics across sleep states. Using tetrode hippocampal recordings and the brainFrame pipeline, I found that NPAS4 knockout cells exhibit disrupted bursting and altered ripple-associated firing, suggesting that NPAS4 is critical for maintaining coordinated ensemble activity during sleep. Together, this dissertation combines methodological innovation with biological discovery, providing new insights into the molecular regulation of sleep-related hippocampal dynamics