Publications related to Arousal

Emotion Recognition in a Multi-Componential Framework: The Role of Physiology

Maëlan Quentin Menétrey, Gelareh Mohammadi

The Component Process Model is a well-established framework describing an emotion as a dynamic process with five highly interrelated components: cognitive appraisal, expression, motivation, physiology and feeling. Yet, few empirical studies have systematic ...

FRONTIERS MEDIA SA2022

Tapping into Multi-Faceted Human Behavior and Psychopathology Using fMRI Brain Dynamics

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Maria Giulia Preti, Elenor Morgenroth

Human behavior comprises many aspects that stand out by their dynamic nature. To quantify its neural underpinnings, time-resolved fMRI methods have blossomed over the past decade. In this review we conceptually organize a broad repertoire of dynamic analyt ...

2020

Brainstem Correlates of a Cold Pressor Test Measured by Ultra-High Field fMRI

Dimitri Nestor Alice Van De Ville, Olivier Benoit Thomas Reynaud, Domenica Bueti, Fatma Megdiche

Introduction Modern imaging techniques such as blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) allow the non-invasive and indirect measurement of brain activity. Whether changes in signal intensity can be detected in small ...

2020

Self-Aware Machine Learning for Multimodal Workload Monitoring During Manual Labor on Edge Wearable Sensors

David Atienza Alonso, Amir Aminifar, Giulio Masinelli, Adriana Arza Valdes, Farnaz Forooghifar

The design of reliable wearable technologies for real-time and long-term monitoring presents a major challenge. Self-awareness is a promising solution that enables the system to monitor itself in interaction with the environment and to manage its resources ...

2020

Real-Time Cognitive Workload Monitoring Based on Machine Learning Using Physiological Signals in Rescue Missions

David Atienza Alonso, Adriana Arza Valdes, Fabio Isidoro Tiberio Dell'Agnola, Niloofar Momeni

High levels of cognitive workload decreases human's performance and leads to failures with catastrophic outcomes in risky missions. Today, reliable cognitive workload detection presents a common major challenge, since the workload is not directly observabl ...

IEEE2019

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

Henry Markram, Sean Lewis Hill, Werner Alfons Hilda Van Geit, Ying Shi, Christian O'Reilly, Christian Andreas Rössert, Elisabetta Iavarone, Bas-Jan Zandt, Jane Yi

Somatosensory thalamocortical (TC) neurons from the ventrobasal (VB) thalamus are central components in the flow of sensory information between the periphery and the cerebral cortex, and participate in the dynamic regulation of thalamocortical states inclu ...

2019

Subjective and physiological responses to façade and sunlight pattern geometry in virtual reality

Marilyne Andersen, Jan Wienold, Giorgia Chinazzo, Kynthia Chamilothori, João Pedro de Matos Rodrigues

This study investigates the joint impact of façade geometry and associated sunlight patterns on occupant subjective perception and physiological responses through a novel experimental method coupling physically-based simulations shown in virtual reality wi ...

2019

Distinct locomotor control and awareness in awake sleepwalkers

Olaf Blanke, Oliver Alan Kannape

Sleepwalkers’ complex nocturnal behaviors have inspired fictional characters from Shakespeare’s Lady Macbeth to Polidori’s Vampyre to Cesare, the homicidal somnambulist in The Cabinet of Dr Caligari. Yet although the underlying pathophysiology of sleepwalk ...

Elsevier2017

Towards building an attentive artificial listener: on the perception of attentiveness in audio-visual feedback tokens

Jean-Marc Odobez, Kenneth Alberto Funes Mora, Catharine Regina Monika Maria Oertel Genannt Bierbach, Yu Yu

Current dialogue systems typically lack a variation of audio-visual feedback tokens. Either they do not encompass feedback tokens at all, or only support a limited set of stereotypical functions. However, this does not mirror the subtleties of spontaneous ...

ACM2016

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Arousal

An insular cortex - lateral amygdala network in fear learning

Emotion Recognition in a Multi-Componential Framework: The Role of Physiology

Tapping into Multi-Faceted Human Behavior and Psychopathology Using fMRI Brain Dynamics

Brainstem Correlates of a Cold Pressor Test Measured by Ultra-High Field fMRI

Self-Aware Machine Learning for Multimodal Workload Monitoring During Manual Labor on Edge Wearable Sensors

Real-Time Cognitive Workload Monitoring Based on Machine Learning Using Physiological Signals in Rescue Missions

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

Subjective and physiological responses to façade and sunlight pattern geometry in virtual reality

Distinct locomotor control and awareness in awake sleepwalkers

Towards building an attentive artificial listener: on the perception of attentiveness in audio-visual feedback tokens

Graph Chatbot

Chat with Graph Search

Subjective and physiological responses to façade and sunlight pattern geometry in virtual reality

Emotion Recognition in a Multi-Componential Framework: The Role of Physiology

Distinct locomotor control and awareness in awake sleepwalkers

Towards building an attentive artificial listener: on the perception of attentiveness in audio-visual feedback tokens

Tapping into Multi-Faceted Human Behavior and Psychopathology Using fMRI Brain Dynamics

Brainstem Correlates of a Cold Pressor Test Measured by Ultra-High Field fMRI

Real-Time Cognitive Workload Monitoring Based on Machine Learning Using Physiological Signals in Rescue Missions

Self-Aware Machine Learning for Multimodal Workload Monitoring During Manual Labor on Edge Wearable Sensors

An insular cortex - lateral amygdala network in fear learning

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons