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Article
Open AccessAccounting for endogenous effects in decision-making with a non-linear diffusion decision model
The Drift-Diffusion Model (DDM) is widely accepted for two-alternative forced-choice decision paradigms thanks to its simple formalism and close fit to behavioral and neurophysiological data. However, this for...
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Article
Open AccessSenseJoy, a pluggable solution for assessing user behavior during powered wheelchair driving tasks
The complex task of Electric Powered Wheelchairs (EPW) prescription relies mainly on personal experience and subjective observations despite standardized processes and protocols. The most informative measureme...
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Chapter and Conference Paper
Unsupervised Anomaly Detection Using Optimal Transport for Predictive Maintenance
Anomaly detection is of crucial importance in industrial environme...
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Chapter and Conference Paper
Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential
The correct ventilation for patients in intensive care units plays a critical role for the prognostic and the recovery during the stay in the hospital. Desynchronization between the ventilator and the patient ...
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Chapter and Conference Paper
Inductive Means and Sequences Applied to Online Classification of EEG
The translation of brain activity into user command, through Brain-Computer Interfaces (BCI), is a very active topic in machine learning and signal processing. As commercial applications and out-of-the-lab sol...
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Article
Subject-Specific Channel Selection Using Time Information for Motor Imagery Brain–Computer Interfaces
Kee** a minimal number of channels is essential for designing a portable brain–computer interface system for daily usage. Most existing methods choose key channels based on spatial information without optimi...
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Chapter and Conference Paper
From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification
Brain Computer Interfaces (BCI) based on electroencephalography (EEG) rely on multichannel brain signal processing. Most of the state-of-the-art approaches deal with covariance matrices, and indeed Riemannian ...
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Article
Open AccessTime-frequency optimization for discrimination between imagination of right and left hand movements based on two bipolar electroencephalography channels
To enforce a widespread use of efficient and easy to use brain-computer interfaces (BCIs), the inter-subject robustness should be increased and the number of electrodes should be reduced. These two key issues ...
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Chapter
Artificial Neurogenesis: An Introduction and Selective Review
In this introduction and review—like in the book which follows—we explore the hypothesis that adaptive growth is a means of producing brain-like machines. The emulation of neural development can incorporate de...
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Chapter and Conference Paper
Efficient Neural Models for Visual Attention
Human vision rely on attention to select only a few regions to process and thus reduce the complexity and the processing time of visual task. Artificial vision systems can benefit from a bio-inspired attention...
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Chapter and Conference Paper
Covert Attention with a Spiking Neural Network
We propose an implementation of covert attention mechanisms with spiking neurons. Spiking neural models describe the activity of a neuron with precise spike-timing rather than firing rate. We investigate the i...
