About pvc-11
Summary of the data
The data comprise two conditions: spontaneous and evoked V1 activity. The data were recorded by Matthew Smith and Adam Kohn, in the Kohn lab at the Albert Einstein College of Medicine (both data sets), and J. Anthony Movshon’s lab at New York University (spontaneous data set). Tai Sing Lee (Carnegie Mellon University) provided research support and Ryan Kelly (Carnegie Mellon University) participated in the data collection and processing.
The first spontaneous data set comprises spiking activity from ~70 – 100 neurons (single- and multi-units) simultaneously recorded using Utah arrays placed in visual cortex of four adult Macaca fascicularis monkeys (a total of six arrays). Sufentanil (4-18 microg/kg/hr) was used for anesthesia. Recordings were obtained while animals viewed a uniform gray screen. Included in this data set are results from spike sorting from each of six arrays. Scripts which perform basic characterization are provided.
The second evoked data set comprises spiking activity from 44 to 104 neurons (single- and multi-units) from 5 arrays (3 monkeys). The evoked data set was collected using the same approach as the spontaneous data set (i.e., anesthesia, V1, Macaque monkeys). Spiking activity was recorded while presenting different grayscale visual stimuli, including drifting sinusoidal gratings (each presented for 1.28 s), a movie of sinusoidal gratings with ~100 different drift directions (300 ms each, 30 s movie in total), a movie of a contiguous natural scene (a monkey wading through water, 30 s), and a movie of white noise (30 s). The data set comprises the event times of spike sorted units from each array, the visual stimuli, scripts that compute binned spike counts and mean firing rates, and the peri-stimulus time histograms (PSTHs) analyzed in Cowley et al., 2016.
For further details on how the data were obtained, see the following references:
Smith MA, Kohn A (2008) Spatial and temporal scales of neuronal correlation in primary visual cortex. J Neurosci, 28: 12591–12603.
http://dx.doi.org/10.1523/JNEUROSCI.2929-08.2008.
Kelly RC, Smith MA, Kass RE, Lee TS (2010) Local field potentials indicate network state and account for neuronal response variability. J Comput Neurosci, 29: 567–579
https://dx.doi.org/10.1007/s10827-009-0208-9
Format of the data
Data is in MatLab format. Total size is about 180 MB (compressed). Details about the format are in: crcns_pvc-11_data_description.pdf
How to download the data
Data may be downloaded from:
https://portal.nersc.gov/project/crcns/download/pvc-11
A CRCNS.org account is required. See the download link for more instructions.
Getting help using the data
If you have questions about using the data, please post them on the forum for using data sets.
How to cite the data
If you publish any work using the data, please cite the data set in the following recommended format:
Kohn, A., Smith, M.A. (2016) Utah array extracellular recordings of spontaneous and visually evoked activity from anesthetized macaque primary visual cortex (V1). CRCNS.org
http://dx.doi.org/10.6080/K0NC5Z4X
The above citation uses a Digital Object Identifier (DOI) which is assigned to the data set. The DOI was created using DataCite (www.datacite.org) and the California Digital Library, "EZID" system (http://ezid.cdlib.org/).