V1_V4_1024_electrode_resting_state_data

1024-channel electrophysiological recordings during resting state in V1 and V4 of macaque visual cortex

This respository contains the data associated to the publication "1024-channel electrophysiological recordings during resting state in V1 and V4 of macaque visual cortex" by Chen*, Morales-Gregorio* et al. Future updates of the dataset will be uploaded here.

Summary

Electrophysiological activity data was recorded from the visual cortex (V1, V4) of two rhesus macaques using 16 utah arrays, for a total of 1024 recording sites. The monkeys were instructed to perform several tasks:

• Resting state (RS),
• Receptive field mapping (RF) with sweeping bars,
• Signal to noise ratio (SNR) estimation from visual stimulation with a checkerboard.

All data was recorded at the Netherlands Institute of Neuroscience and processed jointly with the INM-6 at Juelich research center.

The raw data constist on the continuous measure of extracellular potentials at a sampling frequency of 30 kHz The raw data was processed into two widely used analog signals, the local field potential (LFP) and the multiunit activity envelope (MUAe), with sampling rates of 500 Hz and 1 kHz respectively. Metadata about the recording system, animal behaviour during the recordings, data quality and receptive field locations was collected and compiled into a single .odml file per session, provided under the \data directory of this repository.

The following sessions and datafiles are available:

Subject	Task type	Date of recording	Links to ressources
L	Receptive Fields (RF)	26-06-2017	Raw files | MUAe | LFP
		28-06-2017	Raw files | MUAe | LFP
	Stimulus response (SNR)	25-07-2017	Raw files | MUAe | LFP
		09-08-2017	Raw files | MUAe | LFP
		10-08-2017	Raw files | MUAe | LFP
	Resting State (RS)	25-07-2017	Raw files | Eye signals | MUAe | LFP
		09-08-2017	Raw files | Eye signals | MUAe | LFP
		10-08-2017	Raw files | Eye signals | MUAe | LFP
A	Receptive Fields (RF)	28-08-2018	Raw files | MUAe | LFP
		29-08-2018	Raw files | MUAe | LFP
	Stimulus response (SNR)	14-08-2019	Raw files | MUAe | LFP
		15-08-2019	Raw files | MUAe | LFP
		16-08-2019	Raw files | MUAe | LFP
	Resting State (RS)	14-08-2019	Raw files | Eye signals | MUAe | LFP
		15-08-2019	Raw files | Eye signals | MUAe | LFP
		16-08-2019	Raw files | Eye signals | MUAe | LFP

Note: The links in the table above point to the latest version of the data repository and not to the published instance.

Downloading the data

Using gin

Create an account on gin and download the gin client as described here. On your computer, log in using:

gin login

Clone the repository using:

gin get NIN/V1_V4_1024_electrode_resting_state_data

The cloning step can take a long time, due to the large amount of individual files. Please be patient.

Large data files will not be downloaded automatically, they will appear as git-annex links instead. We recommend downloading only the files you need, since the entire dataset is large. To get the contents of a certain file:

gin get-content <filename>

Downloaded large files will be locked (read-only). You must unlock the files using:

gin unlock <filename>

To remove the contents of a large file again, use:

gin lock <filename>
gin remove-content <filename>

Detailed description of the gin client can be found at the gin wiki. See the gin usage tutorial for advanced features.

Using the web browser

Download the files you want by clicking download in the gin web interface. Convenience summary tables of the data and sessions can be found in the summary above.

Citation policy

Cite this work by citing the original publication.

Contact information

For any inquiries contact the corresponding author(s) of the original publication.

License

The data and metadata in this work are licensed under a Creative Commons Attribution 4.0 International License.

Python and Matlab code in this repository are licensed under the BSD 3-clause license.

The matlab-based NPMK package provided within this repository is re-distributed under the BSD 3-clause license, in compliance with the original licensing terms.