  The precise modulation of activity through inhibitory signals ensures that
both insect colonies and neural circuits operate efficiently and adaptively,
highlighting the fundamental importance of inhibition in biological systems.
Modulatory signals are produced in various contexts and are known for subtly
shifting the probability of receiver behaviors based on response thresholds.
Here we propose a non-linear function to introduce inhibitory responsiveness in
collective decision-making inspired by honeybee house-hunting. We show that,
compared with usual linear functions, non-linear responses enhance final
consensus and reduce deliberation time. This improvement comes at the cost of
reduced accuracy in identifying the best option. Nonetheless, for value-based
tasks, the benefits of faster consensus and enhanced decision-making might
outweigh this drawback.
