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@@ -12,7 +12,7 @@ The data and code is licensed under a [Creative Commons Attribution 4.0 Internat
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# Organization of the repository
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The repository is organized into six folders:
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-- `\data\` contains the raw data of individual cells, organized into plain-text tables of spike-times, together with some meta information.
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+- `\data\` contains the raw data of individual cells, organized into plain-text tables of spike-times, together with some meta information. This is the data used in the article. Access to all data sets (ca. 200 records) can be obtained from Barry B. Lee. These include 6x1 min and 10 min records for almost all cells, und for many cells multiple repeats of the 10 min video.
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- `\stimuli\` contains the visual stimuli, and details for calibration, such as gamma correction and gun spectra. It also contains two downsampled examples movies, `timeflowershow` and `spaceflowershow` to illustrate the downsampled, and full stimulus video.
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@@ -30,7 +30,7 @@ The repository is organized into six folders:
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- Scipy 1.5.4
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- cv2 4.5.0
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-# Details of the data files.
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+# Details of the data files
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## Organization of spiking data
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There are two types of files for the 6x1min and 10min records. Both contain ASCII records of spike occurrence, and some meta information. The time resolution on all data is 0.1 msec.
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@@ -39,7 +39,7 @@ There are two types of files for the 6x1min and 10min records. Both contain ASCI
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* 6 x 1min files: Format is similar. The first 1 min of the 10 min video is repeated 6 times. There is a variable delay (blank frames) before the beginning of the first video repeat and there are ca. 5 sec of blank frames after termination before the next repeat starts. After completion of the 6 repeats there is a further period of maintained activity (column 7).
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-## Cell List
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+## Cell/Recording list
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| File name | Cell Type | Record Duration | Cell Key | Eccentricity |
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|---------------|-----------------|------------------|--------------|--------------|
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@@ -87,11 +87,6 @@ There are two types of files for the 6x1min and 10min records. Both contain ASCI
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| Lss01302.txt | S on | 6x1 min | 71#9 | 4.58 |
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| Lss01303.txt | S on | 10 min | 71#9 | same |
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-43 cells
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-
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-
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-
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-
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# Details of the stimulus videos
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0. The gun spectra were measured from the display, and are saved as raw text in `/stimuli/`. They are consistent with the typical spectral output of the phosphors of a CRT display: 
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@@ -100,11 +95,11 @@ There are two types of files for the 6x1min and 10min records. Both contain ASCI
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2. 6x1_256.mpg. This is a 1 min video. Structure as in 1x10min, except only 9000 frames.
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-3. Gamma correction. The r,g,b, values (0-255) from the mpeg decompression can be converted to intensity values using the following equations, where I is the r/g/b bit value:
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+3. Gamma correction. The r,g,b, values (0-255) from the mpeg decompression can be converted to intensity values using the following equations, where Ir/Ig/Ib is the r/g/b bit value:
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```
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- red = 0.01451 + 0.9855*pow(1.0*I/256, 2.3122);
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- green = 0.005123 + 0.9949*pow(1.0*I/256, 2.2752);
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- blue = 0.02612 + 0.9739*pow(1.0*I/256, 2.2818);
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+ red = 0.01451 + 0.9855*pow(1.0*Ir/256, 2.3122)
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+ green = 0.005123 + 0.9949*pow(1.0*Ig/256, 2.2752)
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+ blue = 0.02612 + 0.9739*pow(1.0*Ib/256, 2.2818)
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```
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4. Gun spectra. The spectra measured for the 3 display guns are tabulated in `GunSpectra.txt`. Based on the gun spectra and luminance estimates, the gun values were calibrated to deliver the same luminance. However, based on reverse correlation analysis on M cells, it was estimated that, relative to the red gun, the green gun luminance was overestimated by ca. 5% and the blue gun underestimated by ca. 20%. We therefore converged on the following equation to convert gamma-corrected intensities into l/m/s cone signals:
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@@ -116,7 +111,7 @@ There are two types of files for the 6x1min and 10min records. Both contain ASCI
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5. These equations and parameters were considered constant across cells, and not further optimized.
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-# Model details
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+# Details of the model.
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1. The averaged 6 x 1 min responses were best for modeling, while the 10 min runs gave better results for the reverse correlation.
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