barnoiseAnalyze responses to a random 1-D bar pattern (monocular and binocular). Another analysis for this stimulus is available under the grid_sta
- plot - PSTHs for each bar position.
- tern_kern - 2nd order Wiener Kernel (Emerson et al., 1987). Under development. The ouput file name is used as a prefix for writing two files:
- [outfile].sta.pl - the STA data segments are appended to this file.
- [outfile].bmap.3d - a map of bar vs. DT is given for each bar. The values in the map are the sums of the STA segments.
- The time reference for the STA plots needs to be examined for cases where dt is not 0. Does the time reference need to vary?
- [outfile].bmap.3d - a map of bar vs. DT is given for each bar. Thus, compare each frame in the map with Figure 2 in Emerson, Citron, Vaughn and Klein (1987). The values in the map are the sums of the STA segments. The x-axis is dt (-dt_max,...,dt_max), the y-axis is the reference bar
- Note, the kernel value for self-correlation at dt=0 is set to zero. E.g., bar 3 vs. bar 3 at dt=0 is zero.
- Future: This can be adapted to compute separate interaction maps for white-white or black-white, etc kernels kernel value for self-correlation at dt=0 is set to zero. E.g., bar 3 vs. bar 3 at dt=0 is zero. Also, we could average absolute barmaps to get relative ones, if evidence shows that consecuitive maps apppear to be strongly orrelated
- sampling - samples/s for analsysis (data file value)
- win0 - (0) Start time of stimulus triggered response window
- winn - (100) Duration of stimulus triggered response window
- eye_flag - (0) 0-left, 1-right, 2-binoc. For 2-bar interaction,
- dt_max - (7) the maximum positive or negative displacement of the image on a aingle fram
Example:# # barnoise_kern.nda # barnoise all tern_kern start 0 period 8000 # # The STA window is integrated to form the value at each point # in the kernal # win0 -100 # Start time for STA window winn 70 # Duration of STA window eye_flag 2 # 0-left, 1-right, 2-binoc dt_max 7 # -7...0...+7 frames