Periodic Reporting for period 1 - CourtEscape (Neural Mechanisms of Action-Selection During Sensory Conflict)
Reporting period: 2022-09-01 to 2024-08-31
The main objectives were:
- Objective 1: Identify neurons that determine whether male flies choose courtship or escape when presented with conflicting stimuli.
- Objective 2: Characterize neural circuitry mechanisms underpinning these action selections.
- Objective 3: Explore how environmental and internal state variables influence this choice.
- Identified Key Neurons: we discovered that Lobular Columnar (LC) neurons detect visual threats and initiate escape over courtship. LC neurons connect with serotonergic neurons (5-HTPMPD) to inhibit courtship behaviors when a threat is detected.
- Neurochemical Mechanisms: The role of serotonin (5-HT) and dopamine was central to the project. Serotonin was shown to inhibit courtship when a threat was present by acting through 5-HT receptors in specific courtship neurons, including the P1 cluster and plP10 neurons. Dopamine, on the other hand, was found to influence how flies prioritize reproduction as they progress through courtship.
-Behavioral Adaptations: CourtEscape revealed that males could ignore threats when competing for a mate, depending on their surroundings. This flexibility underscores how external factors, such as competition and mate availability, affect decision-making.
The project’s findings were disseminated through scientific publications, multiple international presentations, outreach events and a press release. One significant publication, "Mating Proximity Blinds Threat Perception", appeared in Nature, and outreach activities included presentations at events like the Birmingham Brain Awareness Week.
The results include a refined neural model for studying decision-making in organisms, which can influence future applications in neuroscience and artificial intelligence by providing insights into real-time decision-making processes. The potential socio-economic impacts lie in the fundamental knowledge gained, which may lead to applications in brain-computer interfaces and biocontrol. Society could benefit from such research as it deepens our understanding of the brain’s decision-making processes, potentially informing the development of treatments for neurological conditions and enhancing our knowledge in robotics and AI.
 
           
        