pith. sign in

arxiv: 1701.02572 · v1 · pith:IZQVHU34new · submitted 2017-01-10 · 🧬 q-bio.PE

Loose social organisation of AB strain zebrafish groups in a two-patch environment

classification 🧬 q-bio.PE
keywords collectiveenvironmentgroupgroupsindividualorganisationbehavioursdeparture
0
0 comments X
read the original abstract

We explore the collective behaviours of 7 group sizes: 1, 2, 3, 5, 7, 10 and 20 AB zebrafish (Danio rerio) in a constraint environment composed of two identical squared rooms connected by a corridor. This simple set-up is similar to a natural patchy environment. We track the positions and the identities of the fish and compute the metrics at the group and at the individual levels. First, we show that the size of the population affects the behaviour of each individual in a group, the cohesion of the groups, the preferential interactions and the transition dynamics between the two rooms. Second, during collective departures, we show that the rankings of exit correspond to the topological organisations of the fish prior to their collective departure with no leadership. This spatial organisation emerge in the group a few seconds before a collective departure. These results provide new evidences on the spatial organisation of the groups and the effect of the population size on individual and collective behaviours in a patchy environment.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours using a Quality Diversity Algorithm

    cs.NE 2019-07 unverdicted novelty 6.0

    CVT-MAP-Elites quality diversity search calibrates ANN-based agent models of zebrafish collective motion to outperform standard evolutionary methods on both macroscopic group metrics and microscopic individual realism.