archive Neurophysiological data of paper "A dynamical model of the effect of Locus Coeruleus firing on single-trial cortical state dynamics and sensory" by Safaai et al in PNAS 2015 Popular

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These data were published in 

 H. Safaai, R. Neves, O. Eschenko, N. K. Logothetis, Stefano Panzeri, A dynamical model of  the effect of Locus Coeruleus firing on single-trial cortical state dynamics and sensory, PNAS 2015, published ahead of print September 28, 2015doi:10.1073/pnas.1516539112

Any person downloading these accepts to acknowledge this study by citing it in every publication or report arising from the use of these data. 
Each of the following rar file contains data from a different experimental session. Each file containa the time series of multiunit spiking activity simultaneously recorded from 29 electrodes (array spacing 50 , impedance 200  ) placed in the paw representation area of the right-hemisphere primary somatosensory cortex (S1), from one electrode in the left Locus Coeruleous (LC) s, and from one electrode in the right LC. These data contain responses to nine different trains of electrical paw stimulations (three different frequencies and three different amplitudes, 15-30 trials per stimulus). (see Safaai et al, PNAS 2015, for full details) 

Within each rar file containing an experimental session, the data are saved in Matlab format and the data structure is as follows:
Each folder contains a series of trials of the data from -6 to 6 seconds of activity around the stimulus onset.
The data in each file contains the spiking times of each cortical S1 channel and also the LC signals band pass filtered between 400-3000 Hz in STD units.
DATA.S1_Spikes{N}: Spike times of right S1 channel number N.
DATA.LC_1: Left LC signal.
DATA.LC_2: Right LC signal.
DATA.LC_TIME: Time stamps of LC signals.
DATA.Stim: The time course of the stimulus pulse.
DATA.Time: The time stamps of the stimulus pulse.
DATA.Stim_ID: Stimulus id of the trial from 1-9.
FP7-70pxeu-flag-70pxfet-70pxThe project SI-CODE acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET-Open grant number: FP7-284553