Jhawar, J and Guttal, V (2020) Noise-induced effects in collective dynamics and inferring local interactions from data: Inferring Noise-induced States. In: Philosophical Transactions of the Royal Society B: Biological Sciences, 375 (1807).
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Abstract
In animal groups, individual decisions are best characterized by probabilistic rules. Furthermore, animals of many species live in small groups. Probabilistic interactions among small numbers of individuals lead to a so-called intrinsic noise at the group level. Theory predicts that the strength of intrinsic noise is not a constant but often depends on the collective state of the group; hence, it is also called a state-dependent noise or a multiplicative noise. Surprisingly, such noise may produce collective order. However, only a few empirical studies on collective behaviour have paid attention to such effects owing to the lack of methods that enable us to connect data with theory. Here, we demonstrate a method to characterize the role of stochasticity directly from high-resolution time-series data of collective dynamics. We do this by employing two well-studied individual-based toy models of collective behaviour. We argue that the group-level noise may encode important information about the underlying processes at the individual scale. In summary, we describe a method that enables us to establish connections between empirical data of animal (or cellular) collectives and the phenomenon of noise-induced states, a field that is otherwise largely limited to the theoretical literature. This article is part of the theme issue 'Multi-scale analysis and modelling of collective migration in biological systems'. © 2020 The Author(s).
| Item Type: | Journal Article |
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| Publication: | Philosophical Transactions of the Royal Society B: Biological Sciences |
| Publisher: | Royal Society Publishing |
| Additional Information: | The copyright for this article belongs to The Author(s). |
| Keywords: | data processing; empirical analysis; induced response; time series analysis, Animalia, animal; biological model; cell motion; ethology; Markov chain; procedures; social behavior, Animals; Cell Movement; Ethology; Models, Biological; Social Behavior; Stochastic Processes |
| Department/Centre: | Division of Biological Sciences > Centre for Ecological Sciences |
| Date Deposited: | 13 Jan 2023 04:27 |
| Last Modified: | 13 Jan 2023 04:27 |
| URI: | https://eprints.iisc.ac.in/id/eprint/79075 |
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