Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Concept

Animal rights

Related publications (28)

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

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

Laura Isabel Paez Coy

Locomotion is an essential evolutive innovation of living beings that allows them to colonize and dominate the planet. As diverse as animal morphologies are (living) and were (extinct), their locomotion modalities are also diverse. In particular, animal mo ...

EPFL2023

Multi-animal pose estimation, identification and tracking with DeepLabCut

Alexander Mathis, Mackenzie Mathis, Shaokai Ye, Steffen Schneider, Jessy Lauer, Mu Zhou

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 Publishing Group2022

Organic semiconductors for light-mediated neuromodulation

Diego Ghezzi, Danashi Imani Medagoda

There is growing interest in organic semiconductor devices for light-mediated neuromodulation, such as for retinal stimulation. Here, the key working principles of these devices are discussed, as well as promising applications and outstanding challenges fo ...

SPRINGERNATURE2021

Robots mediating interactions between animals for interspecies collective behaviors

Francesco Mondada, Frank Bonnet, Robert Matthew Mills

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

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

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

Maria del Carmen Sandi Perez

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 ...

Nature Research2018

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

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 ...

Elsevier2018

Automated Calibration of a Biomimetic Space-Dependent Model for Zebrafish and Robot Collective Behaviour in a Structured Environment

Francesco Mondada, Alexey Gribovskiy, Frank Bonnet

Bio-hybrid systems made of robots and animals can be useful tools both for biology and robotics. To socially integrate robots into animal groups the robots should behave in a biomimetic manner with close loop interactions between robots and animals. Behavi ...

Springer2017

Signal coverage approach to the detection probability of hypothetical extraterrestrial emitters in the Milky Way

Claudio Grimaldi

The lack of evidence for the existence of extraterrestrial life, even the simplest forms of animal life, makes it is difficult to decide whether the search for extraterrestrial intelligence (SETI) is more a high-risk, high-payoff endeavor than a futile att ...

Nature Research2017

Learning with Surprise : Theory and Applications

Mohammadjavad Faraji

Everybody knows what it feels to be surprised. Surprise raises our attention and is crucial for learning. It is a ubiquitous concept whose traces have been found in both neuroscience and machine learning. However, a comprehensive theory has not yet been de ...

EPFL2016

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

MOVING ALONG In biomechanics, rehabilitation engineering, and movement analysis, Italian researchers are making great strides

Silvestro Micera

In Italy, biomechanics research and the analysis of human and animal movement have had a very long history, beginning with the exceptional pioneering work of Leonardo da Vinci. In 1489, da Vinci began investigating human anatomy, including an examination o ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Audio-based Positioning and Target Localization for Swarms of Micro Aerial Vehicles

Meysam Basiri

Swarms of autonomous MAVs show great potential in many diverse applications. In a search and rescue mission, a group of MAVs could quickly reach disaster areas by flying over obstacles, cluttered and inaccessible terrains, and work in parallel to detect an ...

EPFL2015

Comminution limit (CL) of particles and possible implications for pumped storage reservoirs

Mohamed Farhat

Comminution (fragmentation) of solid particles is important in a range of technologies. An interesting effect is the so-called comminution limit (CL), which is effectively a brittle/ductile transition. Above the CL particles fail by fracture. However, as p ...

Springer2014

Investigating Alternatives To The Fish Early-Life Stage Test: A Strategy For Discovering And Annotating Adverse Outcome Pathways For Early Fish Development

Kristin Schirmer

The fish early-life stage (FELS) test (Organisation for Economic Co-operation and Development [OECD] test guideline 210) is the primary test used internationally to estimate chronic fish toxicity in support of ecological risk assessments and chemical manag ...

Wiley-Blackwell2014

Locomotion studies and modeling of the long-tailed lizard Takydromus sexlineatus

Auke Ijspeert, Konstantinos Karakasiliotis

Morphology is an important factor in locomotion. It may guide the control strategies that an animal or a robot uses for efficient locomotion. In this paper we try to understand the locomotion strategies of a lizard with a distinctive feature, the long-tail ...

Ieee2012

Bridging the Gap Between Social Animal and Unsocial Machine: A Survey of Social Signal Processing

Alessandro Vinciarelli

Social Signal Processing is the research domain aimed at bridging the social intelligence gap between humans and machines. This paper is the first survey of the domain that jointly considers its three major aspects, namely, modeling, analysis, and synthesi ...

2012