Data from Ferrigno, Iliakis et al. (2026), Science Advances

Behavioral Datafiles Behavioral datafiles are saved as .txt files by behavioral cohort. This experiment was completed across 8 behavioral cohorts: April2024, May2024, Aug2024, Nov2024, Jan2025, May2025, July2025, Nov2025. For each behavioral cohort, we have included 1) a .zip file containing the outputs from our behavior programs, saved as .txt files; 2) .xlsx files containing detailed informations about animals' genotype, viral injections, weight trajectories, etc. Processed data are available across several MATLAB workspaces, contained within the MATLABWorkspaces.zip folder. Photometry Datafiles Photometry data are organized across multiple files. These files are combined and analyzed using MATLAB code available under DataAnalysisCode.zip. In addition, most up-to-date analysis code is available on on the Fuccillo Lab GitHub (https://github.com/Fuccillo-Lab). Files:signals.h5: Contains all photometry signals and corresponding timestamps in terms of the behavior clock. streams.csv: For each recording stream (1 of 4 pigtail fiber optic patchcords), each row in this table points to the path in signals.h5 of that stream, as well as giving animalID and other details. sessions.csv: For each recording session for each animal, sessions.csv points to that animal's corresponding behavioral data and gives session-level overviews of e.g., hit rates, false alarm rates, etc. trials.csv: Contains information about each behavioral trial in the dataset, as well as a unique trial ID that allows for alignment to the session-level data and photometry recording streams. licks.csv: Contains timestamp for each lick in the behavioral dataset, tied to a specific session using a unique session ID. Key terms:session_stamp: Unique session stamp tied to datetime of the photometry recording. E.g., e20241126113002 (eYYYYmmDDhhMMss). Note that up to two animals may be recorded simultaneously, across two recording sites each. session_uid: Unique session ID that specifies which of two animals is being recorded from and aligns the recording to the corresponding behavioral data. There are two recording slots per recording session, a1 (animal1) and a2 (animal2). E.g., e20241126113002_a1 trial_uid: Unique trial ID that ties a trial to a unique behavioral session: e.g., e20241126113002_a1_t0001. stream_uid: stream_uid points to a unique recording stream: e.g., e20241126113002_a1_f1 within the signals.h5 file. Each recording session consists of four recording "streams"/sites, labeled f1-f4, reflecting fluorescence data collected down four branches of a branching pigtail fiber optic patchcord. Animal 1 (a1) is recorded through streams f1 and f2; Animal 2 is recorded through streams f3 and f4. All recording streams are collected regardless of whether an animal is tethered on that patchcord or not, so some streams contain data that does not reflect neural activity, just ambient light. path_unfiltered: path_unfiltered points to the path within the h5 file of the unprocessed %deltaF/F -- 100% * (470-415)/415 -- before the debleaching and z-scoring. e.g., /unfiltered/e20241126113002_a1_f1. Photometry data are stored in the file signals.h5. path_debleached: points to path within signals.h5 of debleached photometry data. Debleaching procedures are outlined in the manuscript: /debleached/e20241126113002_a1_f1 path_normalized: points to path within signals.h5 of normalized photometry data. Here, normalization refers to stream-wide z-scoring, where the %deltaF/F values of the whole session were normalized to the mean and sample standard deviation of that same session ((%dF/F) - mean(%dF/F)) / stdev.s(%dF/F)). These data ultimately were not used in the final manuscript: /normalized/e20241126113002_a1_f1 path_time: points to path within signals.h5 of timestamps, in terms of the behavior clock, corresponding to each frame of the photometry recording stream: /time/e20241126113002_a1_f1