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A Wind Tunnel for Odor Mediated Insect Behavioural Assays

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Published on: November 30, 2018

Fly motion vision.

Alexander Borst¹, Juergen Haag, Dierk F Reiff

¹Department of Systems and Computational Neurobiology, Max-Planck-Institute of Neurobiology, Martinsried, Germany. borst@neuro.mpg.de

Annual Review of Neuroscience

|March 16, 2010

Summary

This summary is machine-generated.

Flies process visual optic flow using elementary motion detectors and tangential cells to control flight and head movements. This neural computation enables compensatory optomotor responses crucial for navigation and stability.

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Area of Science:

Neuroscience
Computational Neuroscience
Insect Vision

Background:

Fly motion vision and optomotor responses are key models for neural computation.
Understanding optic flow processing is vital for comprehending animal self-motion perception.

Purpose of the Study:

To review the current understanding of optic flow processing in flies.
To elucidate the neural pathways involved in generating compensatory optomotor responses.

Main Methods:

Analysis of photoreceptor signals and elementary motion detectors (EMDs).
Investigating spatial integration in lobula plate tangential cells.
Examining interactions between tangential cells and their downstream targets.

Main Results:

Optic flow processing involves parallel computation of local motion vectors by EMDs.
Tangential cells integrate EMD outputs, acting as matched filters for specific flight maneuvers.
Information is relayed to descending neurons controlling motor centers and neck muscles.

Conclusions:

The fly visual system employs a hierarchical processing stream for optic flow.
This system enables sophisticated neural computation for flight control and navigation.
The described neural circuit provides insights into sensory-motor integration in animals.