The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model

Wang, Weijia; Escobedo, Ramón; Sanchez, Stéphane; Sire, Clément; Han, Zhangang; Théraulaz, Guy

doi:10.1371/journal.pcbi.1009437

Cited by 19 publications

(29 citation statements)

References 81 publications

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“…The model can be elaborated and developed to include more detailed aspects of the interactions between the fish [3, 4, 8, 13, 30, 31], while the explicit directional decision-making model may be incorporated into existing models of collective animal motion [32, 33]. It remains for future exploration how this individual decision-making process can give rise to the emergence of polarized fish schools and (possibly transient) leaders.…”

Section: Discussionmentioning

confidence: 99%

“…These results indicate that the model can describe the formation of cohesive shoal ("swarm") behavior, without any spontaneous alignment of the fish along a particular direction [26] (see Supplementary Movie M10). This suggests that for the maintenance of collective persistent motion along a particular direction ("schooling phase" [7,13]), the spontaneous emergence of leaders is needed [27][28][29], such as leadership by indifference (whereby less socially-responsive individuals spontaneously become leaders [27]), which is not included in the current model. Note that our model ignores the finite size of the RF, which means that we do not describe the short-range maneuvers that are necessary for collision avoidance.…”

Section: Discussionmentioning

confidence: 99%

“…However, during this calculation, the individuals in such model frameworks do not explicitly perform a decision-making process. In other words, the direction of motion of each agent is given by some unique and continuous function of the positions and velocities of the detected (usually neighboring) conspecifics [3,4,[9][10][11][12][13]. Given two identical conspecifics, the agent in these modelas has no mechanism to spontaneously decide to follow only one of them (at a given time), in contradiction to the observations [14].…”

Section: Introductionmentioning

confidence: 99%

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A simple cognitive model explains movement decisions during schooling in zebrafish

Oscar

Liang

Gorbonos

et al. 2023

Preprint

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While moving, animals must frequently make decisions about their future travel direction, whether they are alone or in a group. Here we investigate this process for zebrafish (Danio rerio), which naturally move in cohesive groups. Employing state-of-the-art virtual reality, we study how real fish follow one or several moving, virtual conspecifics. These data are used to inform, and test, a model of social response that includes a process of explicit decision-making, whereby the fish can decide which of the virtual conspecifics to follow, or to follow some average direction. This approach is in contrast with previous models where the direction of motion was based on a continuous computation, such as directional averaging. Building upon a simplified version of this model [Sridhar et al., 2021], which has been shown to exhibit a spontaneous symmetry-breaking transition from moving along a compromise (average) direction, to deciding on following one of the virtual fish. This previously published simplified version was limited to a one-dimensional projection of the fish motion, while here we present a model that describes the motion of the real fish as it swims freely in two-dimensions. Here, we extend our proposed Ising-like model, which inherently describes a spontaneous symmetrybreaking transition from moving along a compromise (average) direction, to deciding on following one of the virtual fish. Motivated by experimental observations, the swim speed of the fish in this model uses a burst-and-coast swimming pattern, with the burst frequency being dependent on the distance of the fish from the followed conspecific(s). We demonstrate that this model is able to explain the observed spatial distribution of the real fish behind the virtual conspecifics in the experiments, as a function of their average speed and number. In particular, the model naturally explains the observed critical bifurcations for a freely swimming fish, which appear in the spatial distributions whenever the fish makes a decision to follow only one of the virtual conspecifics, instead of following them as an averaged group. This model can provide the foundation for modeling a cohesive shoal of swimming fish, while explicitly describing their directional decision-making process at the individual level.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A simple cognitive model explains movement decisions during schooling in zebrafish

Oscar

Liang

Gorbonos

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The copying of a neighbour's behaviour can create waves of altered behaviour moving across the group, which can not only transfer information, but deter predators from attacking the group [ 51 ]. Experimental work has suggested that explicit consideration of sensory cues greatly improves the ability to predict information flow in fish shoals in contrast with classic models of collective motion [ 52 ], which are now being explored in more biologically realistic models of collective movement [ 53 , 54 ].…”

Section: Rapid Timescales (Typically Less Than 1 Second and Seconds)mentioning

confidence: 99%

A multi-scale review of the dynamics of collective behaviour: from rapid responses to ontogeny and evolution

Ioannou

Laskowski

2023

Phil. Trans. R. Soc. B

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Collective behaviours, such as flocking in birds or decision making by bee colonies, are some of the most intriguing behavioural phenomena in the animal kingdom. The study of collective behaviour focuses on the interactions between individuals within groups, which typically occur over close ranges and short timescales, and how these interactions drive larger scale properties such as group size, information transfer within groups and group-level decision making. To date, however, most studies have focused on snapshots, typically studying collective behaviour over short timescales up to minutes or hours. However, being a biological trait, much longer timescales are important in animal collective behaviour, particularly how individuals change over their lifetime (the domain of developmental biology) and how individuals change from one generation to the next (the domain of evolutionary biology). Here, we give an overview of collective behaviour across timescales from the short to the long, illustrating how a full understanding of this behaviour in animals requires much more research attention on its developmental and evolutionary biology. Our review forms the prologue of this special issue, which addresses and pushes forward understanding the development and evolution of collective behaviour, encouraging a new direction for collective behaviour research. This article is part of a discussion meeting issue ‘Collective behaviour through time’.

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Section: Introductionmentioning

confidence: 99%

A simple cognitive model explains movement decisions during schooling in zebrafish

Oscar¹,

Li²,

Gorbonos³

et al. 2023

Preprint

View full text Add to dashboard Cite

While moving, animals must frequently make decisions about their future travel direction, whether they are alone or in a group. Here we investigate this process for zebrafish (Danio rerio), which naturally move in cohesive groups. Employing state-of-the-art virtual reality, we study how real fish follow one or several moving, virtual conspecifics. These data are used to inform, and test, a model of social response that includes a process of explicit decision-making, whereby the fish can decide which of the virtual conspecifics to follow, or to follow some average direction. This approach is in contrast with previous models where the direction of motion was based on a continuous computation, such as directional averaging. Building upon a simplified version of this model , which has been shown to exhibit a spontaneous symmetry-breaking transition from moving along a "compromise" (average) direction, to deciding on following one of the virtual fish. This previously published simplified version was limited to a one-dimensional projection of the fish motion, while here we present a model that describes the motion of the real fish as it swims freely in two-dimensions. Here, we extend our proposed Ising-like model, which inherently describes a spontaneous symmetrybreaking transition from moving along a "compromise" (average) direction, to deciding on following one of the virtual fish. Motivated by experimental observations, the swim speed of the fish in this model uses a burst-and-coast swimming pattern, with the burst frequency being dependent on the distance of the fish from the followed conspecific(s). We demonstrate that this model is able to explain the observed spatial distribution of the real fish behind the virtual conspecifics in the experiments, as a function of their average speed and number. In particular, the model naturally explains the observed critical bifurcations for a freely swimming fish, which appear in the spatial distributions whenever the fish makes a decision to follow only one of the virtual conspecifics, instead of following them as an averaged group. This model can provide the foundation for modeling a cohesive shoal of swimming fish, while explicitly describing their directional decision-making process at the individual level.

show abstract

The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model

Cited by 19 publications

References 81 publications

A simple cognitive model explains movement decisions during schooling in zebrafish

A simple cognitive model explains movement decisions during schooling in zebrafish

A multi-scale review of the dynamics of collective behaviour: from rapid responses to ontogeny and evolution

A simple cognitive model explains movement decisions during schooling in zebrafish

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