Publications associées à Experimental analysis of behavior

The role of feedback and guidance as intervention methods to foster computational thinking in educational robotics learning activities for primary school

Francesco Mondada, Jean-Philippe Pellet, Evgeniia Bonnet, Laila Abdelsalam El-Hamamsy, Christian Giang, Vaios Papaspyros, Morgane Solène Denise Chevalier, Bernard Baumberger

Computational thinking (CT) is considered an emerging competence domain linked to 21st-century competences, and educational robotics (ER) is increasingly recognised as a tool to develop CT competences. This is why researchers recommend developing intervent ...

2022

Towards Understanding Sharpness-Aware Minimization

Nicolas Henri Bernard Flammarion, Maksym Andriushchenko

Sharpness-Aware Minimization (SAM) is a recent training method that relies on worst-case weight perturbations which significantly improves generalization in various settings. We argue that the existing justifications for the success of SAM which are based ...

JMLR-JOURNAL MACHINE LEARNING RESEARCH2022

Acquisition-dependent modulation of hippocampal neural cell adhesion molecules by associative motor learning

Maria del Carmen Sandi Perez

It is widely accepted that some types of learning involve structural and functional changes of hippocampal synapses. Cell adhesion molecules neural cell adhesion molecule (NCAM), its polysialylated form polysialic acid to NCAM (PSA-NCAM), and L1 are promin ...

FRONTIERS MEDIA SA2022

Strong temperature-dependent thermoelectric power of IrMn(3)thin films of different thicknesses

Jean-Philippe Ansermet, Haiming Yu, Junfeng Hu, Mukund Krishna Kothari

IrMn(3)thin films were experimentally characterized by thermoelectric power and resistivity as a function of temperature and sample thickness. The Seebeck coefficient shows strong temperature dependence and the value increases with temperature up to 350 K. ...

IOP PUBLISHING LTD2021

Experimental behavior of iron-based shape memory alloys under cyclic loading histories

Dimitrios Lignos, Albano António De Abreu E Presa De Castro E Sousa, Diego Isidoro Heredia Rosa, Masoud Motavalli, Alexander Riley Hartloper, Elyas Ghafoori

The present paper investigates the behavior of iron-based shape memory alloys (Fe-SMAs) subjected to cyclic inelastic straining by means of uniaxial coupon experiments. The tests feature round bar coupons subjected to a broad range of uniaxial cyclic strai ...

2021

Effect of electrode composition and patterning method on the lifetime of silicone-based dielectric elastomer actuators (DEA) under different environmental conditions

Herbert Shea, Fabio Beco Albuquerque

We report an experimental investigation of the lifetime of dielectric elastomer actuators (DEAs) under constant DC actuation, with a characterization setup which allows the monitoring of strain and resistance over time for 6 DEAs in parallel. We show how t ...

SPIE-INT SOC OPTICAL ENGINEERING2021

Study on the signal-to-noise ratio of Brillouin optical-time domain analyzers

Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Zhisheng Yang, Sheng Wang

The signal-to-noise ratio (SNR) of Brillouin optical time-domain analyzers (BOTDA) is modelled and experimentally validated, using direct detection with and without the use of optical pre-amplification. The behavior of SNR as a function of the Brillouin ga ...

2020

Real-time EEG Feedback on Alpha Power Lateralization Leads to Behavioral Improvements in a Covert Attention Task

José del Rocio Millán Ruiz, Luca Tonin, Michael Eric Anthony Pereira, Christoph Schneider

Visual attention can be spatially oriented, even in the absence of saccadic eye-movements, to facilitate the processing of incoming visual information. One behavioral proxy for this so-called covert visuospatial attention (CVSA) is the validity effect (VE) ...

SPRINGER2020

Motivating Innovation: The Effect of Loss Aversion on the Willingness to Persist

Kenneth Younge

We investigate the willingness of individuals to persist at exploration in the face of failure. Prior research suggests that the organization's "tolerance for failure" may motivate greater exploration by the individual. Little is known, however, about how ...

MIT Press2020

IMPACT: Interval-based Multi-pass Proteomic Alignment with Constant Traceback

James Richard Larus, Sahand Kashani, Stuart Anthony Byma

Darwin is a genomics co-processor that achieved a 15000x acceleration on long read assembly through innovative hardware and algorithm co-design. Darwins algorithms and hardware implementation were specifically designed for DNA analysis pipelines. This pape ...

2019

First-person view of one’s body in immersive virtual reality: Influence on episodic memory

Olaf Blanke, Bruno Herbelin, Andrea Serino, Jane Aspell, Robin Mange, Baptiste Gauthier, Lucie Bréchet, Quentin Antoine Marie Theillaud

Episodic memories (EMs) are recollections of contextually rich and personally relevant past events. EM has been linked to the sense of self, allowing one to mentally travel back in subjective time and re-experience past events. However, the sense of self h ...

2019

Neural Circuits for Goal-Directed Sensorimotor Transformations

Carl Petersen, Sylvain Crochet, Seung-Hee Lee

Precisely wired neuronal circuits process sensory information in a learning- and context-dependent manner in order to govern behavior. Simple sensory decision-making tasks in rodents are now beginning to reveal the contributions of distinct cell types and ...

ELSEVIER SCIENCE LONDON2019

Supernumerary Robotic Arm for Three-Handed Surgical Application: Behavioral Study and Design of Human-Machine Interface

Elahe Abdi

In surgical to industrial manipulation, the operator needs assistance for tasks requiring more than two hands. Teamwork may be the source of errors and inefficiency, especially if the assistant is a novice or unfamiliar with the main operator. The need for ...

EPFL2017

Ductility and strain rate-dependency of adhesively-bonded timber joints

Myrsini Angelidi

One of the most important characteristics of load-bearing structures is ductility, i.e. the ability of a material or a structure to sustain inelastic deformation prior to failure, without loss of resistance. The topic of this PhD Thesis was to develop duct ...

EPFL2017

Brief Introduction to the Special Issue on Behavior Understanding for Arts and Entertainment

Oya Aran

This editorial introduction describes the aims and scope of the special issue of the ACM Transactions on Interactive Intelligent Systems on Behavior Understanding for Arts and Entertainment, which is being published in issues 2 and 3 of volume 5 of the jou ...

2015

Accelerated And Inexact Forward-Backward Algorithms

Luca Baldassarre

We propose a convergence analysis of accelerated forward-backward splitting methods for composite function minimization, when the proximity operator is not available in closed form, and can only be computed up to a certain precision. We prove that the 1/k( ...

Siam Publications2013

Increased corticosterone in peripubertal rats leads to long-lasting alterations in social exploration and aggression

Maria del Carmen Sandi Perez, Maria Isabel Cordero Campana, Stamatina Tzanoulinou, Vandana Veenit

Stress during childhood and adolescence enhances the risk of psychopathology later in life. We have previously shown that subjecting male rats to stress during the peripubertal period induces long-lasting effects on emotion and social behaviors. As cortico ...

Frontiers Research Foundation2013

Role of the HPA axis in the long-term programming of social behaviors by peripuberty stress : behavioral, pharmacological and molecular approaches

Vandana Veenit

Stress during childhood and adolescence enhances the risk of psychopathology later in life. In fact, exposure to stress during this period is known to predispose individuals to the development of psychopathologies such as depression and anxiety disorders l ...

EPFL2013

A mechatronic platform for behavioral analysis on nonhuman primates

Massimo Vespignani

In this work we present a new mechatronic platform for measuring behavior of nonhuman primates, allowing high reprogrammability and providing several possibilities of interactions. The platform is the result of a multidisciplinary design process, which has ...

2012

Effective Stimuli for Constructing Reliable Neuron Models

Henry Markram, Sean Lewis Hill, Thomas Berger, Felix Schürmann, Idan Segev

The rich dynamical nature of neurons poses major conceptual and technical challenges for unraveling their nonlinear membrane properties. Traditionally, various current waveforms have been injected at the soma to probe neuron dynamics, but the rationale for ...

2011