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Concept

Animal Liberation Front

Related publications (5)

Predicting the long-term collective behaviour of fish pairs with deep learning

Francesco Mondada, Alexandre Massoud Alahi, Vaios Papaspyros

Modern computing has enhanced our understanding of how social interactions shape collective behaviour in animal societies. Although analytical models dominate in studying collective behaviour, this study introduces a deep learning model to assess social in ...

2024

Active apolar doping determines routes to colloidal clusters and gels

Ignacio Pagonabarraga Mora

Collections of interacting active particles, self-propelling or not, have shown remarkable phenomena including the emergence of dynamic patterns across different length scales, from animal groups to vibrated grains, microtubules, bacteria, and chemicalor f ...

National Academy of Sciences2018

Mechanosensory interactions drive collective behaviour in Drosophila

Dario Floreano, Pavan P Ramdya, Pawel Lichocki

Collective behaviour enhances environmental sensing and decision-making in groups of animals. Experimental and theoretical investigations of schooling fish, flocking birds and human crowds have demonstrated that simple interactions between individuals can ...

2015

Metabolic pathway and distribution of superparamagnetic iron oxide nanoparticles: in vivo study

Heinrich Hofmann

Background: Experimental tissue fusion benefits from the selective heating of superparamagnetic iron oxide nanoparticles (SPIONs) under high frequency irradiation. However, the metabolic pathways of SPIONs for tissue fusion remain unknown. Hence, the goal ...

2011

Animal-Robot Interaction for Ethological Studies : an Advanced Framework Based on Socially Integrated Mobile Robots

Alexey Gribovskiy

A robot properly introduced into an animal group, accepted by the animals, and capable of interacting with them is a very powerful tool for advanced ethological research, particularly in gregarious animals. Moreover, such robots can find an application in ...

EPFL2011