Dissecting divergent local circuit function during memory formation in hippocampus

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As reported in the FY2021 F-7-1 year end report, the main dataset of calcium recordings were completed more rapidly than expected, allowing time to expand the dataset. This was preformed in FY2022. I recorded pilot mice with dual imaging of immediate early gene (memory labelling) neurons as well as dynamic activity of all neurons to verify the system, and also performed an additional dataset of recordings of mice to verify the mechanism of action of the previous results. In particular, I recorded directly from the cells implicated in my earlier results using fluorescence indicators in live behaving mice to show that the effect of the chemogenic drug to shut down or activate those neurons actually worked as expected. This dataset can also be analyzed for additional insights as to how the memory is enhanced or disrupted in the behavioral tasks performed.I furthermore performed significant data analysis of the previous main dataset and developed a novel algorithm for detecting “place field” information from the recorded neurons in an open field environment using statistical measures and machine learning tools like varational Bayesian Gaussian mixture models.I was also able to complete a new dataset on performing tracing studies on the brain regions that provide inputs to the part of hippocampus implicated in this study, to show that the manipulation performed earlier results in changes in IEG-mediated synaptic contacts consistent with the pattern of manipulation performed, to verify the long-term effects of the memory changes.