Exponential history integration with diverse temporal scales in retrosplenial cortex supports hyperbolic behavior

Animals rely on their experience to guide their next choice. In foraging-type tasks guided by history-dependent value, these experiences are typically integrated such that the weights of past events initially decay quickly over time but show a longer tail than expected by exponential decay. Rather, such integration is better described by a hyperbolic function. Hyperbolic integration affords sensitivity to both recent environmental dynamics and long-term trends, however the mechanism by which the brain implements this hyperbolic integration is unknown. We trained mice on a history-dependent, value-based decision task and found that the mice indeed showed hyperbolic decay on their weighting of past experience. However, the activity of history-encoding cortical neurons showed weighting with exponential decay. In resolving this apparent mismatch, we observed that cortical neurons encode history information heterogeneously across a wide variety of exponential time-constants, with the retrosp..., This dataset includes the processed data from in vivo two-photon calcium imaging, optogenetic stimulation, and behavioral choices from mice performing a decision-making task. The imaging data is trial-aligned fluorescence and deconvolved activity traces, as well as further analysis products of that data. The optogenetics data includes the stimulus parameters and the trial-by-trial choices made by the mice. Further details for the processing and acquisition can be found in the associated publication., Analysis Code
Code written in Python available in the linked Zenodo repository. 
Behavior data
Data was recorded during mouse in vivo imaging or inactivation sessions. Behavior data is saved in Python pickle files in the pandas dataframe format.a: choice type for each trial (Right choice, Left choice, Alarm, Miss) = (1,2,3,4)R: reward outcome type for each trial. (Reward delivered, Reward not delivered) = (1,0)
Imaging data
Processed two-photon calcium imaging data, aligned to trial ‘ready’ period or ‘choice’ period. Saved as a netcdf file in the xarray dataset format, bundling neural activity for all cells recorded in a session with that session’s behavior metrics. spks: deconvolved estimate spike rate, aligned to ready cue onset. First data point corresponds to 2sec before ready cue onset. Last data point corresponds to 10sec after ready cue onset.z_spks: zscore normalized spks, each cell zscored over the entire session.
Inactivation data
Behavior data from the inactivation sessions i..., # Exponential history integration with diverse temporal scales in retrosplenial cortex supports hyperbolic behavior.

This repository contains the code and processed data necessary to regenerate figures from:

> Danskin B.P. et al. Exponential history integration with diverse temporal scales in retrosplenial cortex supports hyperbolic behavior (2023). Science Advances. DOI: 10.1126/sciadv.adj4897 .

Data deposited to Dryad, doi:10.5061/dryad.jq2bvq8fp .
Code deposited to Zenodo via Github, doi:10.5281/zenodo.8152662 .
All necessary analysis functions are contained in the associated notebook, or in `bdanskin.py` .

## Repository layout

`. BDanskin_SciAdvances_2023 ### source folder`\
`|- py_code/ ### expected location of bdanskin.py`\
`|- chr2_optogenetics/ ### zipped directory containing pkl files for analysis and plotting`\
`|- hattori_datasets_behavior/ ### nested zipped directory containing pkl files for analysis and plotting`\
`|- hattori_datasets_xarray/ ### nested zipped direc...