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Intermediate data structures and summary analysis results supporting paper 'Disruption of awake sharp-wave ripples have no effect on the immediate behaviour nor create short-lasting memories'.

posted on 2024-04-09, 19:24 authored by Lies DeceuninckLies Deceuninck, Fabian Kloosterman

This project investigates the contribution of awake sharp-wave ripples (aswrs) to short-term memory (stm) using closed-loop electrical disruption of aswrs. For all the details about the behavioural tasks and method of recording we refer to our paper. This item contains some of the intermediate data structures and analysis summary files.

When running analyses provided for this project, the raw data is transformed into intermediate data structures (.hdf5) which are used to construct summary files (.csv). These are then used to create the publication figures and statistics. The analysis folder contains these intermediate data structures. Due to the size of the intermediate data structures, we have omitted all but the ones that are critical for the publication figures. However the omitted structures can be recreated with the data and code provided in the project.

We do provide all the summary files (.csv) which summarise the analyses results from every session.

The summary tables are organised *per task* (match-to-sample (MTS), non-match-to-sample (NMTS) and sequence (SEQ)), *per epoch* (intertrial, run, run1, run2 or rest1) and *per level of analysis* (trials-level (trials), visit-level (visits) or session).

There are also 6 summary tables for the experiments with bilateral stimulation (BS). These results are organised based on the *stimulation protocol* (disruption, no stim. and stim.control) and the *recorded hemisphere* (stimulated hemisphere (Wstim) or non-stimulated hemisphere (Nstim)).

To create the analysis results and re-create the summary tables you need the python code of this project. You can find all the code here. The description there clarifies how you can create the analysis results and summary tables.

See related materials in Collection at:


Remember what to do: the contribution of hippocampal activity to short-term memory

Research Foundation - Flanders

Find out more...

Connecting past and future: the contribution of hippocampal memory reactivate during wakefulness to learning behavior

Research Foundation - Flanders

Find out more...


Research Institution(s)

KU Leuven, NERF-NeuroElectronics Research Flanders, VIB, Imec

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Competing Interest Statement

The authors declare no competing interests.

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