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About hc-23

Information about the hc-23 data set.

Summary

Data are rat's positional data and recordings obtained from superficial layers of the medial entorhinal cortex (layer II/III).  Data are for 6 rats, from 1-7 sessions each, in which each session contains two "tasks" across two days.

The Open Field task required rats to randomly forage around a 100 x 100 cm arena for small cereal rewards.  The Overnight task was simply a rat placed in a 60 x 60 cm box for overnight recordings, with food, water and enrichment items provided.

The Open Field session was repeated the following morning (Day 2), and the units' firing analyzed, to confirm stability of recordings. Data from day 1 only was analyzed for the publication. Data from day 2 was used only to confirm stability of overnight recordings.

Each Open Field session included three 20-minute bouts of task performance, with 10 minutes of rest before and after each bout. During 'rest,' rats were removed from the track/box and placed in an elevated and towel lined flower pot. Data from these interwoven 10 minutes rest sessions are not provided here.

For additional details, please see the publication:

Trettel, S.G., Trimper, J.B., Hwaun, E., Fiete, I.R., & Colgin, L.L. (2019). Grid cell co-activity patterns during sleep reflect spatial overlap of grid fields during active behaviors. Nature Neuroscience, 22(4), 609-617.
https://www.ncbi.nlm.nih.gov/pubmed/30911183:

Format of the data

The data are stored in matlab and in Neuralynx format. Details are given in the README file included with the data collection at the link given in the next section ("How to download the data").

How to download the data

The data may be downloaded from:
https://doi.org/10.6084/m9.figshare.c.4496375.

(At the above page, scroll down and click on each file to download).

How to cite the data

Use the "cite this collection" link at webpage linked-to in the "How to download the data" section.

Getting help using the data.

If you have questions about using the data, post them on the forum for using data sets.

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