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Yohann Chemtob

4 papers hereh-index 8140 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • q-bio.PE2
  • cs.NE1
  • nlin.AO1

identity via Semantic Scholar / OpenAlex

activity
20162018
collaborators

4 papers

cs.NE2018

How to Blend a Robot within a Group of Zebrafish: Achieving Social Acceptance through Real-time Calibration of a Multi-level Behavioural Model

Leo Cazenille, Yohann Chemtob, Frank Bonnet +4

We have previously shown how to socially integrate a fish robot into a group of zebrafish thanks to biomimetic behavioural models. The models have to be calibrated on experimental…

q-bio.PE2017

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

Axel Séguret, Bertrand Collignon, Leo Cazenille +2

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 conne…

q-bio.PE2017

Collective departures in zebrafish: profiling the initiators

Bertrand Collignon, Axel Séguret, Yohann Chemtob +2

For animals living in groups, one of the important questions is to understand what are the decision-making mechanisms that lead to choosing a motion direction or leaving an area wh…

nlin.AO2016

Automated optimisation of multi-level models of collective behaviour in a mixed society of animals and robots

Leo Cazenille, Nicolas Bredeche, José Halloy

Animal and robotic collective behaviours can exhibit complex dynamics that require multi-level descriptions. Here, we are interested in developing a multi-level modeling framework…

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