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About pvc-5

Information about the data including cells, stimuli, format of the data.

Summary of the data

The data was recorded from primary visual cortex (V1) of the macaque monkey with 64 site multi-electrode arrays (8 shanks, 8 sites per shank).  The data is comprised in two parts. One is a 15 minutes spontaneous activity without giving any visual stimulation prior to measuring neuronal tuning. The other is the tuning correlation measured by using parametric stimuli including gratings, checkerboard patterns, and color patches.  A generalized linear model (GLM) was used to link spontaneous synchrony and tuning correlation. GLM revealed the relative weight and contribution of each tuning property to the spontaneous synchrony.

Experimental procedures, stimulus generation, and details are described in the following paper:

Cheng C. J. Chu, Ping F. Chien, Chou P. Hung (2014) Tuning dissimilarity explains short distance decline of spontaneous spike correlation in macaque V1. Vision Research

also, at:

Format of the data

The following data is provided:

  • Spike sorted single unit activity from each contact, including raw spike waveforms and parameters used for spike sorting.
  • Spike correlations and tuning correlations for the different stimulus properties.
  • MatLab functions used to generate the stimuli.
All numeric data is in Matlab mat file format. Details of the format of the data and scripts are in the document: crcns-pvc5-data-description.pdf.  Total data size is about 160 MB (compressed).

How to download the data

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

How to cite the data

In addition to citing the paper listed above, publications created through usage of the data should cite the data set in the following recommended format:

Cheng C. J. Chu, Ping F. Chien, Chou P. Hung (2014): Multi-electrode recordings of ongoing activity and responses to parametric stimuli in macaque V1.

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 file

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