NYU Dataset

Predicting Behavioral Dynamics in Drosophila Using Algorithms

Part of: Nagel Lab |
UID: 10505
* Corresponding Author
Description

The algorithms used by the nervous system to integrate synergistic and conflicting stimuli across modalities are still under investigation. This study developed a closed-loop orienting paradigm in Drosophila to study the algorithms by which cues from two modalities are integrated during ongoing behavior. In the study, all experiments were performed on adult female flies three to five days after hatching. The dataset includes behavioral data. The data indicates that when presented simultaneously with an attractive visual stripe and aversive wind cue, flies exhibit two behaviors. Using these two behaviors, they developed a model in which signals each modality are filtered in space and time to generate turn commands, then summed to produce ongoing orienting behavior.

Subject of Study
Keywords

Access

Restrictions
Free to All
Instructions
Datasets generated during this project are available on Dryad, and custom code and plans used to run behavior experiments are available on Github.
Access via Dryad

Behavioral data

Access via GitHub

Software and plans

Associated Publications
Data Type
Equipment Used
Allied Vision Guppy GPF 031B
Cole-Parmer Air Pressure Regulator
Cole-Parmer Flowmeter
MiniCTA 55R55 Anemometer
Oriental Stepper Motor
Oriental Stepper Motor Controller
Thorlabs PM100D
Software Used
LabVIEW
MATLAB
Dataset Format(s)
MATLAB, VI, M, INO
Grant Support
McKnight Scholar Award/McKnight Foundation
Alfred P. Sloan Foundation/Alfred P. Sloan Foundation
1555933/NSF
Klingenstein-Simons Foundation/Klingenstein-Simons Foundation