1,723,047 research outputs found
DLC_model_for_labelling_proboscis
A DeepLabCut model trained for labeling the tip and base of a fly's proboscis
Raw MCFO confocal imaging data from AN split-Gal4 driver lines
Raw confocal images showing random labeling of neurons in Ascending Neuron split-Gal4 driver lines
01_behavior_annotation_for_behavior_classifier
Behavioral annotations needed to train the behavior classifier. Please follow the instructions in Git to download these data into the proper location and to run the associated analysis pipeline
02_Fig2_output_of_published_version
Intermediate results for the behavior classifier, synchronized behavioral and neural data used for the General Linear Model (GLM). Also for generating plots of DF/F predictions based on behavior, the turning matrix, turning-based predictions of DF/F, convolved PEs predictions of DF/F.
The subfolder named "overview_..." includes the intermediate results of the GLM needed to generate the Unique Explained Variance plots and matrices relating neural activity to joint angles, legs, leg pairs, or behaviors
03_general_2P_exp
Synchronized neural fluorescence, behavior, and ball rotational velocities for a large-scale AN functional screen. Please follow the instruction in Git to download these data into the proper location and to run the associated analysis pipeline
00_behavior_data_preprocess
Behavioral data including DeepFly3D poses, ball rotational velocities, proboscis extension tracking, CO2 puffs, and their metadata. Please download to the corresponding folder
05_offBall_onBall_2P_exp
Neural responses either on-, or off of the spherical treadmill. Please follow the instructions in Git to download these data into the proper location and to run the associated analysis pipeline
07_SS31232-PE_exp
Neural responses of PE-ANs during proboscis extensions. Please follow the instructions in Git to download these data to the proper location and to run the associated analysis pipeline
04_mcfo_traced_singleAN_exp
Raw confocal stacks and traced stacks for individual ANs labeled using MCFO. Please follow the instructions in Git to download these data to the proper location and to run the associated analysis pipeline
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