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L'éthologie est l'étude scientifique du comportement des espèces animales, y compris l'humain, dans leur milieu naturel ou dans un environnement expérimental, par des méthodes scientifiques d'observation et de quantification des comportements animaux. Aristote étudie déjà le comportement animal avant que le terme « éthologie » ne soit défini par le naturaliste Isidore Geoffroy Saint-Hilaire en 1854. Des scientifiques tels que Charles Darwin, Oskar August Heinroth, Jean-Henri Fabre, Charles Otis Whitman, Jakob von Uexküll marquent l'étude du comportement animal en biologie. Les bases formelles de l'éthologie sont posées à partir des années 1940 par les travaux des Autrichiens Karl von Frisch et Konrad Lorenz et du Néerlandais Nikolaas Tinbergen, considérés comme les fondateurs de l'éthologie moderne et récipiendaires du prix Nobel de physiologie ou médecine de 1973. Au cours du l'éthologie est influencée par plusieurs courants de pensée scientifiques, dont un courant américain de

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Using DeepLabCut for 3D markerless pose estimation across species and behaviors

An Chi Chen, Mackenzie Mathis, Alexander Mathis, Tanmay Nath

Noninvasive behavioral tracking of animals during experiments is crucial to many scientific pursuits. Extracting the poses of animals without using markers is often essential for measuring behavioral effects in biomechanics, genetics, ethology & neuroscience. Yet, extracting detailed poses without markers in dynamically changing backgrounds has been challenging. We recently introduced an open source toolbox called DeepLabCut that builds on a state-of-the-art human pose estimation algorithm to allow a user to train a deep neural network using limited training data to precisely track user-defined features that matches human labeling accuracy. Here, with this paper we provide an updated toolbox that is self contained within a Python package that includes new features such as graphical user interfaces and active-learning based network refinement. Lastly, we provide a step-by-step guide for using DeepLabCut.

Neuroscience2018

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Design Methods for Miniature Underwater Soft Robots

Frank Bonnet, Daniel Burnier, Norbert Crot, Francesco Mondada

A robotic fish accepted by animals as conspecifics is a very powerful tool in behavioral biology. To obtain the acceptance of the device towards the animals, it should generate some visual stimuli that can be perceived by a living fish as attractive signals. In this paper we introduce a novel design of a robotic fish lure based on a Rigid-Flex Printed Circuit Board (PCB) for experiments on the fish collective behavior. The 3D scan of a zebrafish Danio Rerio, a model animal for fish behavior studies, was used to mimick the main visual features of the zebrafish on the design. The robot can generate different stimuli thanks to its actuated caudal peduncle and two Light- Emitting Diodes (LEDs) placed near its eyes. The prototype has a total length of 63 mm and is only 1.5 times bigger than a zebrafish. The final prototype is waterproof and functional and thus satisfies the necessary conditions for the next steps that will be interaction experiments between the device and living zebrafish.

Ieee2016

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A Miniature Mobile Robot Developed to be Socially Integrated with Species of Small Fish

Stefan Yves Gabriel Binder, Frank Bonnet, Marcelo Elias de Oliveira, Francesco Mondada

A robot accepted by animals as conspecific is a very powerful tool in behavioral biology, particularly in studies of gregarious animals. In this paper we present the first results of acceptance of a robotic fish designed for experiments on collective animal behavior. The robot consists of two modules: a fish lure fixed on a magnetic base and a miniature mobile robot guiding the lure from below the experimental tank. In order to study the acceptance of the robot among living fish, we varied several parameters of the system and used design of experiments methods to reduce the number of performed experiments and determined the impact of each factor on the acceptance of the robot among a small group of real fish. While a brief comparison of the mean distance of the fish to the robot tends to indicate that the fish are attracted by the lure, a linear model of the acceptance of the robot is presented. Results of this study can be used to improve the design and control of the robot for further animal-robot interaction experiments

2014

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BIOENG-456: Controlling behavior in animals and robots

Students will acquire an integrative view on biological and artificial algorithms for controlling autonomous behaviors in animals and robots. Students will synthesize and apply this knowledge in oral presentations and exercises.

CS-430: Intelligent agents

Software agents are widely used to control physical, economic and financial processes. The course presents practical methods for implementing software agents and multi-agent systems, supported by programming exercises, and the theoretical underpinnings including computational game theory.

PHYS-442: Modeling and design of experiments

In the academic or industrial world, to optimize a system, it is necessary to establish strategies for the experimental approach. The DOE allows you to choose the best set of measurement points to minimize the variance of the results. The concepts learned are applicable in all areas.

Psychologie

La psychologie (du grec , « âme », et , « parole, discours »), est une discipline scientifique qui s'intéresse à l'étude du corpus des connaissances sur les faits psychiques, les comportements et le

Human

Humans, or modern humans (Homo sapiens), are the most common and widespread species of primate. A great ape characterized by their hairlessness, bipedalism, and high intelligence, humans have a large

Écologie

L'écologie, ou écologie scientifique, est une science qui étudie les interactions des êtres vivants entre eux et avec leur milieu. L'ensemble des êtres vivants, de leur milieu de vie et des relation