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About pfc-4

Information about pfc-4 (prefrontal cortex, number 4).


This dataset contains the recordings from prefrontal cortex of two monkeys. Both monkeys experienced the following F1 frequencies: 10 14 18 24 30 34 Hz, and each F1 frequency was paired with higher and lower F2.

This dataset is published together with the following manuscript that performs dimensionality reduction of several PFC datasets:

Kobak, D., Brendel, W., Constantinidis, C., Feierstein, C. E., Kepecs, A., Mainen, Z. F., Romo, R., Qi, X.-L., Uchida, N., & Machens, C. K. (2016). Demixed principal component analysis of neural population data. eLife, 5.

Original publications describing the data are:

  • Romo, R., Brody, C. D., Hernández, A., & Lemus, L. (1999). Neuronal correlates of parametric working memory in the prefrontal cortex. Nature, 399(6735), 470-473.
  • Brody, C. D., Hernández, A., Zainos, A., & Romo, R. (2003). Timing and neural encoding of somatosensory parametric working memory in macaque prefrontal cortex. Cerebral cortex, 13(11), 1196-1207.

Format of the data.

Folders correspond to animals, subfolders to brain areas (in monkey 15 there are recordings from the left and from the right PFC). Each .mat file corresponds to one recording session. More information is given in the data description document, linked to at the bottom of this page.

How to download the data.

The data must be downloaded from:

A account is required.  This link allows bulk downloading of multiple files using the download script as described in the "Alternative download method" section on the download page.

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

When using this dataset, please cite the two original publications (Romo et al. 1999, Brody et al. 2003) as well as the dataset itself:

Ranulfo Romo, Carlos D. Brody, Adrián Hernández, and Luis Lemus. (2016). Single-neuron spike train recordings from macaque prefrontal cortex during a somatosensory working memory task.

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 (

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