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Public Datasets

Find our lab’s public datasets here.

Ólafsdóttir et al. (2016)

Ólafsdóttir, H. F., Carpenter, F., & Barry, C. (2016). Coordinated grid and place cell replay during rest. Nature neuroscience19(6), 792-794.

Link to dataset Paper

All data is recorded using tetrodes. 8 tetrodes in MEC (deep layers) and 8 in hippocampus. Data are acquired using DACQ system from Axona Ltd.

For all recording files (bar data from R2141), tetrodes 1-8 are from MEC. For R2142 it’s the other way around.

Filenames indicate data of recording, animal ID and whether file contains recordings from the Z-track or sleep session. For example, 20151201_R2337_track1, indicates this file is from animal R2337, on the Z-track i.e. track1 and this recording is from 1 Dec 2015.

Sleep recordings end with ‘sleepPOST’ rather than ‘track1’ and were recorded immediately after animals were exposed to the track.
‘Training’ indicates that a recording was made in the 1m square open field.

All files ending with ‘cut’ have spike sorted data.
e.g. 20151127_R2337_track1_11.cut, contains the spike sorted data for tetrode 11
Files ending with .pos contain position data (50Hz)
Files ending with .egf contain LFP data (4.8kHz)
Files ending with .set contain the header
Files ending with a number contain tetrode data
e.g. ‘20151127_R2337_track1.1’ contains tetrode data from tetrode 1.

Some folder have .clu files – the output of KlustKwik – do not use these, they are superseded by the .cut files.

Tanni et al. (2022)

Tanni, S., De Cothi, W., & Barry, C. (2022). State transitions in the statistically stable place cell population correspond to rate of perceptual change. Current Biology32(16), 3505-3514.

Link to dataset Paper

The hippocampus occupies a central role in mammalian navigation and memory. Yet an understanding of the rules that govern the statistics and granularity of the spatial code, as well as its interactions with perceptual stimuli, is lacking. We analyzed CA1 place cell activity recorded while rats foraged in different large-scale environments. We found that place cell activity was subject to an unexpected but precise homeostasis—the distribution of activity in the population as a whole being constant at all locations within and between environments. Using a virtual reconstruction of the largest environment, we showed that the rate of transition through this statistically stable population matches the rate of change in the animals’ visual scene. Thus, place fields near boundaries were small but numerous, while in the environment’s interior, they were larger but more dispersed. These results indicate that hippocampal spatial activity is governed by a small number of simple laws and, in particular, suggest the presence of an information-theoretic bound imposed by perception on the fidelity of the spatial memory system.