Abstract
Collective decision making is essential for multicellular and self-organized society coordination, but how this occurs when most of the individuals have limited knowledge of the external environment remains elusive. Using empirical data to inform a neuroscience-based firing-rate model, we found that integration of negative feedback and network dynamics in a honeybee, Apis mellifera, hive demonstrates strong similarities to the neuronal interactions of the human brain, where very brief perturbations of feedback in the system result in more rapid and accurate decisions. We show that honey bees used an inhibitory ‘stop’ signal towards dancing honey bees that reduced both waggle dancing and waggle dance pheromone production. Stop signals were probably elicited by individuals with no individual knowledge of food quality change in the external environment. Therefore, we demonstrate that collective behaviour across different biological levels of organization exhibits a dynamic complex system that is self-organized, but is governed by simple feedback mechanisms, facilitating efficient group decision making by optimally aggregating individuals that have relatively limited cognitive capabilities within a society or cell in a multicellular organism. We discuss how despite being on two different levels of biological organization, both neurons in the brain and honeybee individuals, within the hive, can operate collectively, which is probably a result of convergent evolution.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.