This dataset contains 3 large-scale two-photon calcium imaging recordings from across multiple mouse visual cortical areas (layer 2/3) in response to rotated naturalistic images. The dataset is organized into 5 main folders.stimulistim_05-08-23.mat: File used for stimulus presentation.img: 2760 images (92 objects × 15 orientations × 2 views) at resolution 300 × 1200 pixels.db: Names of the 2760 images (suffix _left or _front).istim: 10,200 integers (1–2760) indicating which image was shown on each trial.retinotopyareas.npz: Standard mouse area boundaries used for aligning retinotopies.out: 10 entries, each describing the boundary points of mouse visual cortical areas.Areas of interest: PM (entry 1), AM (2), RL (4), LM (6), AL (7), LI (8), V1 (9).Additional files: Retinotopy data for the 3 recorded mice. Each has the following information.xy_pos: Spatial position of each recorded neuron.rf_xy_pos: Estimated receptive field (RF) position.area_assign: Integer index of the cortical area assignment.rf_cc_max: Pearson correlation between recorded and RF-fitted responses.05_18_2023, 05_30_2023, 05_31_2023Each folder contains a single .npz file with Suite2p pre-processed calcium imaging data, which include the following variables.Behavioral: run, pupil (spherical treadmill)Stimulus: istim (stimulus index)Recording: iplane (top or bottom imaging plane)Neuronal responses: spks (deconvolved activity), xpos (x-position in imaging plane), ypos (y-position in imaging plane), uspont (spontaneous PCs), mu (mean activity during prolonged gray screens), sd (standard deviation during prolonged gray screens).

This dataset contains 3 large-scale two-photon calcium imaging recordings from across multiple mouse visual cortical areas (layer 2/3) in response to rotated naturalistic images. The dataset is organized into 5 main folders.stimulistim_05-08-23.mat: File used for stimulus presentation.img: 2760 images (92 objects × 15 orientations × 2 views) at resolution 300 × 1200 pixels.db: Names of the 2760 images (suffix _left or _front).istim: 10,200 integers (1–2760) indicating which image was shown on each trial.retinotopyareas.npz: Standard mouse area boundaries used for aligning retinotopies.out: 10 entries, each describing the boundary points of mouse visual cortical areas.Areas of interest: PM (entry 1), AM (2), RL (4), LM (6), AL (7), LI (8), V1 (9).Additional files: Retinotopy data for the 3 recorded mice. Each has the following information.xy_pos: Spatial position of each recorded neuron.rf_xy_pos: Estimated receptive field (RF) position.area_assign: Integer index of the cortical area assignment.rf_cc_max: Pearson correlation between recorded and RF-fitted responses.05_18_2023, 05_30_2023, 05_31_2023Each folder contains a single .npz file with Suite2p pre-processed calcium imaging data, which include the following variables.Behavioral: run, pupil (spherical treadmill)Stimulus: istim (stimulus index)Recording: iplane (top or bottom imaging plane)Neuronal responses: spks (deconvolved activity), xpos (x-position in imaging plane), ypos (y-position in imaging plane), uspont (spontaneous PCs), mu (mean activity during prolonged gray screens), sd (standard deviation during prolonged gray screens).

2P calcium imaging data from EPG (compass) neurons of the central complex of tethered flies walking in darkness for the following paper:Noorman M, Hulse BK, Jayaraman V, Romani S, Hermundstad AM (2024). Maintaining and updating accurate internal representations of continuous variables with a handful of neurons.Data file for flies walking in darkness:NoormanEtAlFlyWalkingInDarkness2PBehData.mat: preprocessed 2P calcium imaging and behavior data. Calcium imaging performed at 10 Hz; 20-minute trials; 5 trials/fly.File organization:The file contains MATLAB data structures:
FDB: Metadata for flies used in the experiment
TDB: Information about 5 trials (A-E) /fly
DarkData: structure with multiple data fieldsROI_Data_Dfof: [32×12000×50 double]: Time series of EPG population GCaMP activity for each of 32 user-defined wedges of the ellipsoid body (EB)FlyRotate_w2p: [50×12000 double]: time series of the fly's rotational velocity on the ballFlyForward_w2p: [50×12000 double]: time series of the fly's forward velocityFly: [50×1 double]: Fly ID (used internally)TwoP_Times: [50×12000 double]: time stamps corresponding to two-photon data acquisitionFlyPosition_w2p_aligned: [50×12000 double]:WedgeCenters: [32×1 double]: centers of ROIs for analysis of imaging data in the EBBumpPosition: [50×12000 double]: phase of the population vector average within the EBBumpR: [50×12000 double]: amplitude of the population vector averageBumpPeak: [50×12000 double]: bump amplitudeTwoP_Fs: [50×1 double]: sampling frequencyAssociated code:Code for all analyses and plotting is available at:
https://github.com/HermundstadLab/DiscreteRingAttractor

2P calcium imaging data from EPG (compass) neurons of the central complex of tethered flies walking in darkness for the following paper:Noorman M, Hulse BK, Jayaraman V, Romani S, Hermundstad AM (2024). Maintaining and updating accurate internal representations of continuous variables with a handful of neurons.Data file for flies walking in darkness:NoormanEtAlFlyWalkingInDarkness2PBehData.mat: preprocessed 2P calcium imaging and behavior data. Calcium imaging performed at 10 Hz; 20-minute trials; 5 trials/fly.File organization:The file contains MATLAB data structures:
FDB: Metadata for flies used in the experiment
TDB: Information about 5 trials (A-E) /fly
DarkData: structure with multiple data fieldsROI_Data_Dfof: [32×12000×50 double]: Time series of EPG population GCaMP activity for each of 32 user-defined wedges of the ellipsoid body (EB)FlyRotate_w2p: [50×12000 double]: time series of the fly's rotational velocity on the ballFlyForward_w2p: [50×12000 double]: time series of the fly's forward velocityFly: [50×1 double]: Fly ID (used internally)TwoP_Times: [50×12000 double]: time stamps corresponding to two-photon data acquisitionFlyPosition_w2p_aligned: [50×12000 double]:WedgeCenters: [32×1 double]: centers of ROIs for analysis of imaging data in the EBBumpPosition: [50×12000 double]: phase of the population vector average within the EBBumpR: [50×12000 double]: amplitude of the population vector averageBumpPeak: [50×12000 double]: bump amplitudeTwoP_Fs: [50×1 double]: sampling frequencyAssociated code:Code for all analyses and plotting is available at:
https://github.com/HermundstadLab/DiscreteRingAttractor

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.

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.

Two-photon imaging data for the following paper.

Generation of stable heading representations in diverse visual scenes
Sung Soo Kim+, Ann M. Hermundstad, Sandro Romani, L. F. Abbott, Vivek Jayaraman+
Nature (2019) 576:126-131
Many animals rely on an internal heading representation when navigating in varied environments. How this representation is linked to the sensory cues that define different surroundings is unclear. In the fly brain, heading is represented by 'compass' neurons that innervate a ring-shaped structure known as the ellipsoid body. Each compass neuron receives inputs from 'ring' neurons that are selective for particular visual features; this combination provides an ideal substrate for the extraction of directional information from a visual scene. Here we combine two-photon calcium imaging and optogenetics in tethered flying flies with circuit modelling, and show how the correlated activity of compass and visual neurons drives plasticity, which flexibly transforms two-dimensional visual cues into a stable heading representation. We also describe how this plasticity enables the fly to convert a partial heading representation, established from orienting within part of a novel setting, into a complete heading representation. Our results provide mechanistic insight into the memory-related computations that are essential for flexible navigation in varied surroundings.

Additional materials found in this Collection: https://doi.org/10.25378/janelia.c.4932540

Two-photon imaging data for the following paper.

Generation of stable heading representations in diverse visual scenes
Sung Soo Kim+, Ann M. Hermundstad, Sandro Romani, L. F. Abbott, Vivek Jayaraman+
Nature (2019) 576:126-131