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About hc-11

Information about the hc-11 data set.



This data set is composed of eight bilateral silicon-probe multi-cellular electrophysiological recordings performed on four male Long-Evans rats in the Buzsáki lab at NYU. These recordings were performed to assess the effect of novel spatial learning on hippocampal CA1 neural firing and LFP patterns in naïve animals. Each session consisted of a long (~4 hour) PRE rest/sleep epoch home-cage recordings performed in a familiar room, followed by a Novel MAZE running epoch (~45 minutes) in which the animals were transferred to a novel room, and water-rewarded to run on a novel maze. These mazes were either A) a wooden 1.6m linear platform, B) a wooden 1m diameter circular platform or C) a 2m metal linear platform. Animals were rewarded either at both ends of the linear platform, or at a predetermined location on the circular platform. The animal was gently encouraged to run unidirectionally on the circular platform. After the MAZE epochs the animals were transferred back to their home-cage in the familiar room where a long (~4 hour) POST rest/sleep was recorded. All eight sessions were concatenated from the PRE, MAZE, and POST recording epochs. In addition to hippocampal electrophysiological recordings, neck EMG and head-mounted accelerometer signals were recorded, and the animal’s position during MAZE running epochs was tracked via head-mounted LEDs.

Some publications based on all or parts of these data are:

Grosmark, A.D., and Buzsáki, G. (2016). Diversity in neural firing dynamics supports both rigid and learned hippocampal sequences. Science 351, 1440–1443.

Chen, Z., Grosmark, A.D., Penagos, H., and Wilson, M.A. (2016). Uncovering representations of sleep-associated hippocampal ensemble spike activity. Sci. Rep. 6, 32193.

Format of the data.

The formats of the data within each session follow the standard format used in the Buzsáki lab, as well as other labs, and are described in dataset hc-3 and (Hazan et al., 2006). More details on the details of these formats can be found in the ‘Klusters Handbook’ (  In addition, all sessions contain a '.mat' file that has much of the data in a format that is easy to wok with in MATLAB, and can also be opened in Python.  Details of the data format are provided in documents listed at the bottom of this page.

How to download the data

Data may be downloaded from:
A account is required. See the download link for more instructions.

Getting help using the data.

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

How to cite the data

Publications created through usage of the data should cite at least the Grosmark & Buzsáki (2016) publication given above and also cite the data set using the following:

Grosmark, A.D., Long J. and Buzsáki, G. (2016); Recordings from hippocampal area CA1, PRE, during and POST novel spatial learning.

The above citation uses a Digital Object Identifier (DOI) which is assigned to the data set.  The DOI was created using DataCite ( and the California Digital Library, "EZID" system (

Documentation files


Files for other hc data set which are relevant:

Document Actions