Non-linear inhibitory responses enhance performance in collective decision-making
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914068641611776 |
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| author | March-Pons, David Pastor-Satorras, Romualdo Miguel, M. Carmen |
| author_facet | March-Pons, David Pastor-Satorras, Romualdo Miguel, M. Carmen |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2407_20927 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Non-linear inhibitory responses enhance performance in collective decision-making March-Pons, David Pastor-Satorras, Romualdo Miguel, M. Carmen Disordered Systems and Neural Networks Statistical Mechanics Adaptation and Self-Organizing Systems Applied Physics Biological Physics 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. |
| title | Non-linear inhibitory responses enhance performance in collective decision-making |
| topic | Disordered Systems and Neural Networks Statistical Mechanics Adaptation and Self-Organizing Systems Applied Physics Biological Physics |
| url | https://arxiv.org/abs/2407.20927 |