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To act or not to act. Neural correlates of executive control of learned motor behavior

Related publications (73)

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Real-time, low-latency closed-loop feedback using markerless posture tracking

Alexander Mathis, Mackenzie Mathis

The ability to control a behavioral task or stimulate neural activity based on animal behavior in real-time is an important tool for experimental neuroscientists. Ideally, such tools are noninvasive, low-latency, and provide interfaces to trigger external ...

2020

Financing Biomedical Ventures - Myths and Realities

Jeffrey Scott Behrens

Angel funding is an important source of capital for startup ventures (J. Sohl 2019), providing a similar level of capital as institutional venture capital (OECD 2011). But angel funding is challenging to study due to the informal nature of the activity. A ...

EPFL2020

Social Sensing Methods for Analysis of Dyadic Hospitality Encounters

Skanda Muralidhar

First impressions are critical to professional interactions, especially in service industry like hospitality. In the service industry, customers often assess quality of service based on the behavior, perceived personality, and other attributes of the front ...

EPFL2019

Exploring The Borderlands Of The Gathering Problem

Rachid Guerraoui, El Mahdi El Mhamdi, Alexandre David Olivier Maurer, Vladislav Tempez

Problems of pattern formation have been extensively studied in distributed computing. One of this problems is the gathering problem: agents must gather at a same position in a distributed manner. When gathering is not possible, a close problem is the conve ...

2019

Vlogging Over Time: Longitudinal Impressions and Behavior in YouTube

Daniel Gatica-Perez, Dinesh Babu Jayagopi, Dairazalia Sanchez Cortes

YouTube vlogging, as a popular genre of ubiquitous social video, engages people in entertainment, civic, and social activities. Although several aspects of vlogging have been studied in media studies and multimedia analysis, the longitudinal angle of vlogg ...

ASSOC COMPUTING MACHINERY2018

Group Interaction Frontiers in Technology

Catharine Regina Monika Maria Oertel Genannt Bierbach

Over the last decade, the study of group behavior for multimodal interaction technologies has increased. However, we believe that despite its potential benefits on society, there could be more activity in this area. The aim of this workshop is create a for ...

ASSOC COMPUTING MACHINERY2018

Recommender Systems for Healthy Behavior Change

Onur Yürüten

Sedentary lifestyles and bad eating habits influence the onset of many serious health problems. Healthy behavior change is an arduous task, and requires a careful planning. In this thesis, we propose that behavior recommenders can help their users achieve ...

EPFL2017

Motor and cognitive brain circuits of brain-machine interactions

Silvia Marchesotti

Brain-machine interfaces (BMIs) allow the user to control an external device such as a robotic arm, a cursor, or an avatar in a virtual world through the real-time decoding of brain signals and without the involvement of the musculoskeletal system. Althoug ...

EPFL2016

Point-based Path Prediction from Polar Histograms

Alexandre Massoud Alahi

We address the problem of modeling complex target behavior using a stochastic model that integrates object dynamics, statistics gathered from the environment and semantic knowledge about the scene. The method exploits prior knowledge to build point-wise po ...

2016

Darwinian Dynamics of Embodied Chaotic Exploration

Joshua Evan Auerbach

We present Embodied Chaotic Exploration (ECE), a novel direction of research into a possible candidate for Darwinian neural dynamics, where such dynamics are occurring not at the level of synaptic connections, but rather at the slightly higher and more abs ...

ACM Press2016