Analyses effect of neuronal reactivations during learning reward locations on later calcium activity in the dorsal CA1.

Code for publication: Tanja Fuchsberger, Claudia Clopath, Przemyslaw Jarzebowski, Zuzanna Brzosko, Hongbing Wang, Ole Paulsen (2022) Postsynaptic burst reactivation of hippocampal neurons enables associative plasticity of temporally discontiguous inputs. eLife 11:e81071. https://doi.org/10.7554/eLife.81071

Computational modelling

Run Burst_DA_Fig6_and_Fig7.m script to replicate the network weights and activity used to generate Figures 6 and 7.

Calcium imaging analysis

Matlab code pre-processeses CaImAn output data from the calcium imaging experiments. CaImAn output data is published [here] (https://doi.org/10.17632/km4cdcvyfs.1). R analysis code generates the statistics and the figures. It runs analyses on the pre-processed output from the Matlab code.

To run the R code set the working directory to the 'R' directory with the code. Change base_dir in R/traces_input.R to reflect the parent directory where the unzipped data is stored locally.

Calcium imaging analyses requirements:

• R datatrace package installed.

Order of running R analysis scripts:

1. create_place_field_df.R - produces place field information used in the analysis.
2. reactivations.Rmd - notebook creating figures and stats.