Disentangling and modeling interactions in fish with burst-and-coast swimming

Abstract

We combine extensive data analyses with a modeling approach to measure, disentangle, and reconstruct the actual functional form of interactions involved in the coordination of swimming in Rummy-nose tetra (Hemigrammus rhodostomus). This species of fish performs burst-and-coast swimming behavior that consists of sudden heading changes combined with brief accelerations followed by quasi-passive, straight decelerations. We quantify the spontaneous stochastic behavior of a fish and the interactions that govern wall avoidance and the attraction and alignment to a neighboring fish, the latter by exploiting general symmetry constraints for the interactions. In contrast with previous experimental works, we find that both attraction and alignment behaviors control the reaction of fish to a neighbor. We then exploit these results to build a model of spontaneous burst-and-coast swimming and interactions of fish, with all parameters being estimated or directly measured from experiments. This model quantitatively reproduces the key features of the motion and spatial distributions observed in experiments with a single fish and with two fish. This demonstrates the power of our method that exploits large amounts of data for disentangling and fully characterizing the interactions that govern collective behaviors in animals groups. Moreover, we introduce the notions of "dumb" and "intelligent" active matter and emphasize and clarify the strong differences between them.

arXiv commentSupplementary Information (PDF text + 5 videos) can be downloaded at http://www.lpt.ups-tlse.fr/spip.php?action=acceder_document&arg=2240&cle=f7d43896e78b1b15dff009dc7769eac3c956c76a&file=zip%2FSI_Web.zip

References in corpus (21)

• Social Force Model for Pedestrian Dynamics
• Self-motile colloidal particles: from directed propulsion to random walk
• Interaction Ruling Animal Collective Behaviour Depends on Topological rather than Metric Distance: Evidence from a Field Study
• How simple rules determine pedestrian behavior and crowd disasters
• Hierarchical group dynamics in pigeon flocks
• Emergence of macroscopic directed motion in populations of motile colloids
• Long-lived Giant Number Fluctuations in a Swarming Granular Nematic
• Dynamic clustering in active colloidal suspensions with chemical signaling
• Collective Motion of Vibrated Polar Disks
• Sedimentation of active colloidal suspensions
• Swarming and swirling in self-propelled polar granular rods
• Active Brownian Motion Tunable by Light
• Collective behaviour without collective order in wild swarms of midges
• Swarming, Schooling, Milling: Phase diagram of a data-driven fish school model
• Social interactions dominate speed control in driving natural flocks toward criticality
• Nonequilibrium equation of state in suspensions of active colloids
• Large-scales patterns in a minimal cognitive flocking model: incidental leaders, nematic patterns, and aggregates
• Model of collective fish behavior with hydrodynamic interactions
• Run-and-Tumble Dynamics of Self-Propelled Particles in Confinement
• Filling an emulsion drop with motile bacteria
• Zebrafish collective behaviour in heterogeneous environment modeled by a stochastic model based on visual perception

Cited by in corpus (25)

• Model of collective fish behavior with hydrodynamic interactions
• Noise-Induced Schooling of Fish
• Collective predator evasion: Putting the criticality hypothesis to the test
• Selective social interactions and speed-induced leadership in schooling fish
• Scale-free behavioral cascades and effective leadership in schooling fish
• A simple cognitive model explains movement decisions during schooling in zebrafish
• How to Blend a Robot within a Group of Zebrafish: Achieving Social Acceptance through Real-time Calibration of a Multi-level Behavioural Model
• Signatures of criticality in turning avalanches of schooling fish
• Emergence of a giant rotating cluster of fish in three dimensions by local interactions
• Selective decision-making and collective behavior of fish by the motion of visual attention
• Predicting the long-term collective behaviour of fish pairs with deep learning
• Honeybee-like collective decision making in a kilobot swarm
• Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours using a Quality Diversity Algorithm
• Collective orientation of an immobile fish school, effect on rheotaxis
• Data-driven discovery of stochastic dynamical equations of collective motion
• Behavioral transition of a fish school in a crowded environment
• Evolutionary optimisation of neural network models for fish collective behaviours in mixed groups of robots and zebrafish
• Disentangling intrinsic motion from neighbourhood effects in heterogeneous collective motion
• Effect of gravitational field on collective motion of fish
• Burst-and-coast swimmers optimize gait by adapting unique intrinsic cycle
• Modelling zebrafish collective behaviours with multilayer perceptrons optimised by evolutionary algorithms
• Bugs with Features: Vision-Based Fault-Tolerant Collective Motion Inspired by Nature
• Boltzmann approach to collective motion via nonlocal visual interaction
• Individual particle persistence antagonizes global ordering in populations of nematically-aligning self-propelled particles
• Randomness in the choice of neighbours promotes cohesion in mobile animal groups