Spike Train Data Structures Resulting From White Noise Stimulus

The spike train data structure consists of a matrix in which each of the 30 columns represents the white noise stimulus segments and the 400,000 rows represent each of the sample indices (sample rate of 40kHz over 10 seconds results in 400,000 sample points). Furthermore, this matrix is binary in which the value “one” indicates the sample index that this unit spiked and zeros represent non-spiking indices. The two folders, “Base Spike Trains” and “NonBase Spike Trains”, contain the spike train data for the corresponding wing base and non-localized units. These data structures were created using Matlab code.