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About mt-3

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

Summary of the data

The data contain the spiking responses of 41 neurons in the middle temporal cortex of two macaque monkeys during a visually-guided saccade task. In the experiment, monkeys were trained to fixate on a fixation point located in the center of the screen. After they fixated, a saccade target appeared 10 degrees away horizontally. Then, after a randomized time interval, the fixation point disappeared, cuing the monkeys to make a saccade to the target point. During this procedure, a series of randomly located probe stimuli were presented on the screen in a 9 by 9 grid of possible locations. Results from the experiment are described in detail in:

Kaiser Niknam, Amir Akbarian, Kelsey Clark, Yasin Zamani, Behrad Noudoost, Neda Nategh, "Characterizing and dissociating multiple time-varying modulatory computations influencing neuronal activity", PLOS Computational Biology, accepted.

Format of the data

The data are in Matlab files. The format is describe in the document linked to at the bottom of this page. Total space for the data is about 9.4 MB (compressed).

How to download the data

Data may be downloaded from:
https://portal.nersc.gov/project/crcns/download/mt-3
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, post them on the forum.

Conditions for using the data

Before you publish any work using these data, we ask you first consult Dr. Neda Nategh at neda.nategh@utah.edu. If you publish any work using the data, please cite the publication above (Niknam et al., 2019), and also cite the data set using the following:

Kaiser Niknam, Amir Akbarian, Kelsey Clark, Yasin Zamani, Behrad Noudoost, Neda Nategh (2019); The pre-, peri-, and post-saccadic responses of MT neurons in response to random probe stimuli flashed on screen. CRCNS.org
http://dx.doi.org/10.6080/K0FB514J

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 (n2t.net/ezid/).

Documentation file

ccrcns_mt-3_data_description.pdf.
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