Circuit mechanisms of behavioural variability in Drosophila flight.

This project aims to identify neuronal circuits controlling saccadic turns in fruit flies by analyzing their activity during flight in response to sensory stimuli and internal states.

Subsidie
€ 1.500.000
2022

Projectdetails

Introduction

While sensory systems report sensory input with high reliability, behavioural responses are inherently variable. How this variability arises and how behavioural decisions are formed is not well understood in any organism. I will use the fruit fly Drosophila as a model system to study how a specific behaviour is initiated depending on external stimuli and behavioural state.

Behavioural Mechanism

During flight, flies change direction to avoid dangers or search for food with a fast turning response called saccade. This behaviour can be replicated in head-fixed flying flies, where saccades are measured as fast changes in wing stroke amplitude, which allows for simultaneous recordings of neuronal activity.

Neuronal Circuits

However, the neuronal circuits underlying the execution of saccades in the fly brain are not known. Previously, I have discovered a descending neuron whose activity is strongly correlated with saccadic turns during head-fixed flight.

Research Methodology

I will use novel anatomical tools and the available EM data sets to find the neurons that provide input to this descending neuron and which control saccades. I will then record their activity using both:

  1. 2-photon Calcium imaging of a genetically encoded indicator
  2. Whole-cell patch-clamp recordings during flight

At the same time, I will present a panel of multisensory stimuli while monitoring turning behaviour. This will allow me to test under which stimulus conditions and internal states these neurons are active and whether their activity is more closely correlated with sensory input or behavioural output.

Experimental Manipulation

To test for the contribution of these neurons to the execution of saccades, I will use genetic tools to manipulate their activity during tethered as well as free flight.

Conclusion

This comprehensive approach will allow me to study which neurons control saccadic turns and at which processing stage behavioural decisions are made. It will provide general insights into how information is processed along the sensory-to-motor pathway and how behaviour is initiated.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.500.000
Totale projectbegroting€ 1.500.000

Tijdlijn

Startdatum1-12-2022
Einddatum30-11-2027
Subsidiejaar2022

Partners & Locaties

Projectpartners

  • MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EVpenvoerder

Land(en)

Germany

Vergelijkbare projecten binnen European Research Council

ERC Consolid...

Neural Circuits for Error Correction

This project aims to investigate the neural circuits in Drosophila that monitor and correct movement errors, linking neural activity to behavioral outcomes in walking control.

€ 1.999.970
ERC Consolid...

Perceptual functions of Drosophila retinal movements and the underlying neuronal computations

This project aims to investigate how Drosophila's retinal movements enhance visual processing and depth perception, revealing insights into active sensory computation across species.

€ 2.000.000
ERC Starting...

Temporal processing in Drosophila melanogaster

This project aims to uncover mechanisms of temporal information processing in Drosophila's brain by studying neural activity patterns across intermediate timescales using advanced recording techniques.

€ 1.294.994
ERC Starting...

Closing the loop in dynamic vision – from single photons to behaviour in extreme light environments

This project aims to understand how nocturnal moths process dynamic visual information and adjust their flight behavior in challenging light conditions using a novel imaging system and large-scale tracking.

€ 1.500.000
ERC Consolid...

The evolution of neural circuits for navigational decisions - from synapses to behavior

This project aims to unravel the evolution of decision-making circuits in insect brains by integrating anatomy, connectomics, and behavior to understand their adaptability and complexity.

€ 1.999.119