Optimal searching behaviour generated intrinsically by the central pattern generator for locomotion

Area of Science:

• Animal behavior
• Neuroscience
• Biophysics

Background:

• Efficient resource searching is crucial for animal survival.
• Lévy random walks are proposed as optimal foraging patterns for locating sparse resources.
• It remains unclear if these patterns are intrinsically generated or environmentally driven.

Purpose of the Study:

• To investigate the intrinsic generation of Lévy-like movement patterns in *Drosophila* larvae.
• To determine if neural activity is essential for generating these efficient foraging behaviors.

Main Methods:

• Tracking free-moving *Drosophila* larvae.
• Manipulating synaptic activity in the brain, suboesophageal ganglion (SOG), and sensory neurons.
• Analyzing movement paths and calculating power-law exponents.

Main Results:

• *Drosophila* larvae with blocked neural activity exhibited extended substrate exploration.
• Movement paths resembled truncated Lévy walks, a pattern associated with optimal foraging.
• The power-law exponents in blocked larvae were close to the theoretical optimum (µ ≅ 2.0).

Conclusions:

• Efficient spatial exploration and Lévy-like movement patterns can emerge intrinsically from autonomous neural activity.
• This study provides strong evidence for the endogenous generation of optimal foraging behaviors in *Drosophila* larvae.