Ring attractor dynamics in the Drosophila central brain.

Area of Science:

• Neuroscience
• Computational Neuroscience
• Animal Behavior

Background:

• Ring attractors are theoretical recurrent neural networks proposed to encode heading direction.
• These networks are hypothesized to sustain a 'bump' of neural activity representing the animal's current heading.

Purpose of the Study:

• To provide physiological evidence for ring attractor networks in a biological system.
• To investigate the neural mechanisms underlying heading representation in flies.
• To demonstrate the ability to manipulate and maintain artificial heading representations within this network.

Main Methods:

• Utilized two-photon calcium imaging in head-fixed flying flies.
• Employed optogenetics to overwrite and artificially control the population neural representation of heading.
• Analyzed neural activity dynamics to confirm naturalistic maintenance of the artificial representation.

Main Results:

• Identified a population of fly neurons exhibiting bump-like activity dynamics representing heading direction.
• Successfully overwrote the natural heading representation with an artificial one using optogenetics.
• Demonstrated that the neural circuit maintained this artificial representation with naturalistic dynamics, driven by local excitation and global inhibition.

Conclusions:

• Provides the first physiological evidence supporting the existence and functional architecture of ring attractor networks in vivo.
• Confirms that a network with local excitation and global inhibition can enforce a persistent and unique heading representation.
• Highlights the potential for manipulating neural representations within biological circuits.