Raw Extracellular Neural Data and Stimulus Data

Column one and two for the files labeled M1 through M25 are the raw neural voltage data and the corresponding motor voltage stimulus sampled at 40 kHz. M# indicates the particular moth used for experimentation. The raw neural data and stimulus data for M26 through M33 (both sampled at 40 kHz) were split into two files respectively called “M#_Raw Neural Data.txt” and “M#_ Stimulus Data.txt”. Files labeled M13, M15, M18, M19, and M20 had an additional step stimulus preceding the delivery of the white noise stimulus. A 0.2 Hz square wave stimulus of 4 V amplitude was interjected between the sinusoidal and white noise stimulus segments. The duration of the step stimulus was 16 seconds (640000 samples). There was a rest period of 1 second between the sinusoidal and the step function as well as between the step and white noise stimulus. Moreover, the Raw Neural Data files for M26, M28, M31, M32, and M33 contained multiple columns. Each column represented the neural data recorded from a particular recording site on the multi-site extracellular electrode. Having neural data from multiple recoding sites on the electrode improved spike sorting. These Data were acquired and saved in Matlab. Moreover, these data consisted of multiple chunks (6 chunks), which were concatenated together

Wand Calibration Data

We verified the wing motion reconstruction data through cross validating that the measured length of a physical wand object can be reconstructed through 3D high-speed videography. The “20150615 Calibration file_20pt.csv” file contains the physical measurements of our calibration object and is used to calibrate the volume of space that the wand moved through. The “cal01_WandDLTcoefs.csv” file contains the calibrated volume coefficients. “M1_Wand.cine” and “M2_Wand.cine” are the recorded video files (using phantom software) that capture the wand movement through the calibrated space. “Digitized_Wandxyzpts.csv” contains the 3D coordinates of the wand position at each frame. The cameras were set at 1000 fps.The remaining files are output files not used in further analyses. Calibration and Digitization was performed with custom matlab codes by the Hedrick laboratory at UNC

Spike Sorted Neural Data (time stamps of spiking)

Each file contains the spike timestamps of the units isolated from the extracellular data of a particular moth (M# refers to a particular moth). Each column represents a unit and each row corresponds to a timestamp of when a unit spiked. The last column of each file contains the unsorted spike timestamps, and therefore, was not used for further analyses. Spike sorting was performed using Offline Sorter V4 and timestamp data was exported from NeuroExplorer V5

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

Calibration Object File

The “20150615 Calibration file_20pt.csv” file contains the physical measurements in millimeters of our 20-point calibration object (coordinate system based on an origin point) and is used to calibrate a volume of space in which the object of interest moves in