Publications associées à Droits des animaux

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

Multi-animal pose estimation, identification and tracking with DeepLabCut

Alexander Mathis, Mackenzie Mathis, Steffen Schneider, Shaokai Ye, Jessy Lauer, Tanmay Nath

Estimating the pose of multiple animals is a challenging computer vision problem: frequent interactions cause occlusions and complicate the association of detected keypoints to the correct individuals, as well as having highly similar looking animals that ...

NATURE PORTFOLIO2022

Robots mediating interactions between animals for interspecies collective behaviors

Francesco Mondada, Robert Matthew Mills, Frank Bonnet, Martina Szopek

Self-organized collective behavior has been analyzed in diverse types of gregarious animals. Such collective intelligence emerges from the synergy between individuals, which behave at their own time and spatial scales and without global rules. Recently, ro ...

2019

Topological principles and developmental algorithms might refine diffusion tractography

Jean-Philippe Thiran, Gabriel Girard, Alessandro Daducci, Maxime Descoteaux, Giorgio Innocenti, Tim Bjørn Dyrby

The identification and reconstruction of axonal pathways in the living brain or “ex-vivo” is promising a revolution in connectivity studies bridging the gap from animal to human neuroanatomy with extensions to brain structural–functional correlates. Unfort ...

2019

Serotonergic Modulation of Walking in Drosophila

Pavan P Ramdya, Chin-Lin Chen

To navigate complex environments, animals must generate highly robust, yet flexible, locomotor behaviors. For example, walking speed must be tailored to the needs of a particular environment. Not only must animals choose the correct speed and gait, they mu ...

CELL PRESS2019

Latency to Reward Predicts Social Dominance in Rats: A Causal Role for the Dopaminergic Mesolimbic System

Maria del Carmen Sandi Perez, Simone Astori, Ioannis Zalachoras, Laura Lozano Montes, Sonia Abad Florensa

Reward signals encoded in the mesolimbic dopaminergic system guide approach/seeking behaviors to all varieties of life-supporting stimuli (rewards). Differences in dopamine (DA) levels have been found between dominant and submissive animals. However, it is ...

2019

A generalised framework for detailed classification of swimming paths inside the Morris Water Maze

Maria del Carmen Sandi Perez, Eleni Vasilaki

The Morris Water Maze is commonly used in behavioural neuroscience for the study of spatial learning with rodents. Over the years, various methods of analysing rodent data collected during this task have been proposed. These methods span from classical per ...

2018

Designing a socially integrated mobile robot for ethological research

Francesco Mondada, Alexey Gribovskiy, Jean-Louis Deneubourg

A robot introduced into an animal group, accepted by the animals as conspecifics, and capable of interacting with them is an ecient tool for ethological research, particularly in studies of collective and social behaviour. In this paper, we present the imp ...

2018

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Droits des animaux

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

Beyond undulation! Body morphology and sensing components of elongated animals and robots reveal skills to maintain competent locomotion

Multi-animal pose estimation, identification and tracking with DeepLabCut

Robots mediating interactions between animals for interspecies collective behaviors

Topological principles and developmental algorithms might refine diffusion tractography

Serotonergic Modulation of Walking in Drosophila

Latency to Reward Predicts Social Dominance in Rats: A Causal Role for the Dopaminergic Mesolimbic System

A generalised framework for detailed classification of swimming paths inside the Morris Water Maze

Active apolar doping determines routes to colloidal clusters and gels

Designing a socially integrated mobile robot for ethological research

Graph Chatbot

Chattez avec Graph Search

Designing a socially integrated mobile robot for ethological research

Beyond undulation! Body morphology and sensing components of elongated animals and robots reveal skills to maintain competent locomotion

Serotonergic Modulation of Walking in Drosophila

Latency to Reward Predicts Social Dominance in Rats: A Causal Role for the Dopaminergic Mesolimbic System

Multi-animal pose estimation, identification and tracking with DeepLabCut

Robots mediating interactions between animals for interspecies collective behaviors

A generalised framework for detailed classification of swimming paths inside the Morris Water Maze

Active apolar doping determines routes to colloidal clusters and gels

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

Topological principles and developmental algorithms might refine diffusion tractography