Patch recording data for H2 neuron's local preferred direction measurement. Accompanying this following publication:Eye structure shapes neuron function in Drosophila motion vision | Nature
File description:dataAndPlotScript.zip includes the following files, which are tested on Matlab 2023b
1. edgeDataAndTable.mat - contains 2 Matlab variables:
1a. edgeStruct - Matlab Structure, contains data from the 7 H2 cells. Each cell contains data from 2 stimulus protocols (visual display was rotated in between protocols). 'edgeStruct(cell_number).aligned(protocol_number)' will access all the data from a cell_number and protocol_number. Data is temporally aligned to visual stimulus onset. 'data' field contains 'align' structure, which in turn contains all the repeated responses to the same stimulus (the 'rep' field) as well as the mean and median responses ('mean' and 'medMean' respectively). The aligned structure also contains the extracted spike raster for each repeat ('spikRas').
1b. edgeTable - Matlab table, used to index 'edgeStruct' data. Each row describes a unique cell-protocol-stimulus combination where 'newIndex' column is the index into the 'aligned' structure for that cell and protocol. Each row in 'edgeTable' describes the characteristics of the presented visual stimulus (duration, orientation, edge value, etc. )
2. plotSuppFigAllEdgePolarScript.m - Matlab script to generate Extended Data Figure X. The script should be run from the same directory that contains the above dataset and the accessory function below.
3. generatePositionCell.m - Accessory Matlab function that is used in the plotting script to generate the positions for the subplots. Function is called from within the script and the User does not need to interact with it directly.

Patch recording data for H2 neuron's local preferred direction measurement. Accompanying this following publication:Eye structure shapes neuron function in Drosophila motion vision | Nature
File description:dataAndPlotScript.zip includes the following files, which are tested on Matlab 2023b
1. edgeDataAndTable.mat - contains 2 Matlab variables:
1a. edgeStruct - Matlab Structure, contains data from the 7 H2 cells. Each cell contains data from 2 stimulus protocols (visual display was rotated in between protocols). 'edgeStruct(cell_number).aligned(protocol_number)' will access all the data from a cell_number and protocol_number. Data is temporally aligned to visual stimulus onset. 'data' field contains 'align' structure, which in turn contains all the repeated responses to the same stimulus (the 'rep' field) as well as the mean and median responses ('mean' and 'medMean' respectively). The aligned structure also contains the extracted spike raster for each repeat ('spikRas').
1b. edgeTable - Matlab table, used to index 'edgeStruct' data. Each row describes a unique cell-protocol-stimulus combination where 'newIndex' column is the index into the 'aligned' structure for that cell and protocol. Each row in 'edgeTable' describes the characteristics of the presented visual stimulus (duration, orientation, edge value, etc. )
2. plotSuppFigAllEdgePolarScript.m - Matlab script to generate Extended Data Figure X. The script should be run from the same directory that contains the above dataset and the accessory function below.
3. generatePositionCell.m - Accessory Matlab function that is used in the plotting script to generate the positions for the subplots. Function is called from within the script and the User does not need to interact with it directly.

Patch recording data for H2 neuron's local preferred direction measurement. Accompanying this following publication:https://www.biorxiv.org/content/10.1101/2022.12.14.520178
File description:dataAndPlotScript.zip includes the following files, which are tested on Matlab 2023b
1. edgeDataAndTable.mat - contains 2 Matlab variables:
1a. edgeStruct - Matlab Structure, contains data from the 7 H2 cells. Each cell contains data from 2 stimulus protocols (visual display was rotated in between protocols). 'edgeStruct(cell_number).aligned(protocol_number)' will access all the data from a cell_number and protocol_number. Data is temporally aligned to visual stimulus onset. 'data' field contains 'align' structure, which in turn contains all the repeated responses to the same stimulus (the 'rep' field) as well as the mean and median responses ('mean' and 'medMean' respectively). The aligned structure also contains the extracted spike raster for each repeat ('spikRas').
1b. edgeTable - Matlab table, used to index 'edgeStruct' data. Each row describes a unique cell-protocol-stimulus combination where 'newIndex' column is the index into the 'aligned' structure for that cell and protocol. Each row in 'edgeTable' describes the characteristics of the presented visual stimulus (duration, orientation, edge value, etc. )
2. plotSuppFigAllEdgePolarScript.m - Matlab script to generate Extended Data Figure X. The script should be run from the same directory that contains the above dataset and the accessory function below.
3. generatePositionCell.m - Accessory Matlab function that is used in the plotting script to generate the positions for the subplots. Function is called from within the script and the User does not need to interact with it directly.

This directory includes files to generate the data panels from Figure 4 from "Non-preferred contrast responses in the Drosophila motion pathways reveal a receptive field structure that explains a common visual illusion "
To generate the figure run Figure4Code from the source directory
## Files and variables
The files were generated with matlab r2020b
### allT4MinMotFirstComp.mat
This file contains 3 matlab variables
#### allMMTable
A matlab table referencing all the minimal motion stimuli that each T4 cell was presented with and the corresponding single flash stimuli that compose it used to index into the results structure
#### allSBTable
A matlab table referencing all the single bar flash stimuli that each T4 cell was presented width (used originally to simulate linear summation of the response)
#### minMotSt
matlab structure containing results from all the cells that were shown minimal motion stimuli. each field contains recordings from one cell, while the stimuli for each cell are organized by the index in allMMTable. (e.g. minMotSt(1).result(10) corresponds to the first cell in the table stimulus index 10)
### allT4MinMotFirstComp.mat
Same as above only for T5 cells
### Figure4Code
Matlab script for generating data panels in figure 4
See related materials supporting this publication in the collection at: https://doi.org/10.25378/janelia.c.5629663.

Files to generate Figure 2 from "Non-preferred contrast responses in the Drosophila motion pathways reveal a receptive field structure that explains a common visual illusion"
To generate the figure run Figure2Code from the directory after adding the "supportingFunctions" folder to your path.
## Files and variables
The files were generated with matlab r2020b
### singleBarStT4.mat
This file contains a structure with all T4 cells responses to single bar flashes
Each field in the main structure contains the results from one cell organized supportingFunctions5 fields:.result - contains raw and processed recordings in a 4-D array(position, duration, width, value)
.positions - the positions that were assayed for the cell (before alignment).durations - flash durations that were assayed (in secs).width - bar widths that were assayed (in LED pixels).vals - bar contrast that was assayed
These can be used as a reference to the .result field.Note! the first and second dimensions for the result array are larger by one to include summary statistics
### singleBarStT5
Same as above only for T5 cells
### Figure2Code
Matlab script for generating figure 2, with all the necessary calculations
See related materials supporting this publication in the collection at: https://doi.org/10.25378/janelia.c.5629663.

Files to generate Figure 2 from "Non-preferred contrast responses in the Drosophila motion pathways reveal a receptive field structure that explains a common visual illusion"
To generate the figure run Figure2Code from the directory after adding the "supportingFunctions" folder to your path.
## Files and variables
The files were generated with matlab r2020b
### singleBarStT4.mat
This file contains a structure with all T4 cells responses to single bar flashes
Each field in the main structure contains the results from one cell organized supportingFunctions5 fields:.result - contains raw and processed recordings in a 4-D array(position, duration, width, value)
.positions - the positions that were assayed for the cell (before alignment).durations - flash durations that were assayed (in secs).width - bar widths that were assayed (in LED pixels).vals - bar contrast that was assayed
These can be used as a reference to the .result field.Note! the first and second dimensions for the result array are larger by one to include summary statistics
### singleBarStT5
Same as above only for T5 cells
### Figure2Code
Matlab script for generating figure 2, with all the necessary calculations
See related materials supporting this publication in the collection at: https://doi.org/10.25378/janelia.c.5629663.

This directory includes files to generate the data panels from Figure 4 from "Non-preferred contrast responses in the Drosophila motion pathways reveal a receptive field structure that explains a common visual illusion "
To generate the figure run Figure4Code from the source directory
## Files and variables
The files were generated with matlab r2020b
### allT4MinMotFirstComp.mat
This file contains 3 matlab variables
#### allMMTable
A matlab table referencing all the minimal motion stimuli that each T4 cell was presented with and the corresponding single flash stimuli that compose it used to index into the results structure
#### allSBTable
A matlab table referencing all the single bar flash stimuli that each T4 cell was presented width (used originally to simulate linear summation of the response)
#### minMotSt
matlab structure containing results from all the cells that were shown minimal motion stimuli. each field contains recordings from one cell, while the stimuli for each cell are organized by the index in allMMTable. (e.g. minMotSt(1).result(10) corresponds to the first cell in the table stimulus index 10)
### allT4MinMotFirstComp.mat
Same as above only for T5 cells
### Figure4Code
Matlab script for generating data panels in figure 4
See related materials supporting this publication in the collection at: https://doi.org/10.25378/janelia.c.5629663.

Figure 4 data and code. See readme.txt for details and instructions for producing the manuscript data figure 4.

Figure 2 data and code. See readme.txt for details and instructions for producing the manuscript data figure 2.

Figure 4 data and code. See readme.txt for details and instructions for producing the manuscript data figure 4.