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Publications associées (31)

Time course of prediction errors in sequential decision making

Michael Herzog, He Xu

In reinforcement learning, an agent makes sequential decisions to maximize reward. During learning, the actual and expected outcome are compared to tell whether a decision was good or bad. The difference between the actual outcome and expected outcome is t ...

2018

Photosensitized Hydrogen Evolution on a Floating Electrocatalyst Coupled to Electrochemical Recycling

Hubert Girault, Astrid Johana Olaya Avendano, Jonnathan Cesar Hidalgo Acosta, Terumasa Omatsu

Photoexcited protonated tetrathiafulvalene (HTTF+) was found to act as a photosensitizer, injecting electrons into Pt microparticles (floating electrocatalysts) to produce H2 and TTF•+ in acidic acetonitrile. In addition, TTF•+ was electrochemically reduce ...

2018

Motor Attempt EEG Paradigm As a Diagnostic Tool for Disorders of Consciousness

José del Rocio Millán Ruiz, Serafeim Perdikis, Christoph Schneider

To investigate whether a motor attempt EEG paradigm coupled with functional electrical stimulation can detect command following and, therefore, signs of conscious awareness in patients with disorders of consciousness, we recorded nine patients admitted to ...

2018

Pyrazolium Ionic Liquid Co-catalysts for the Electroreduction of CO2

Paul Joseph Dyson, Dmitry Vasilyev, Erfan Shirzadi

Pyrazolium ionic liquids (Pz ILs) were employed as co-catalysts for electrochemical conversion of CO2 to CO on a silver disk electrode, leading to a significant decrease in the onset potential for the reduction (ca. 500 mV). The electrochemical conversion ...

2018

Non-invasive brain stimulation of motor cortex induces embodiment when integrated with virtual reality feedback

Olaf Blanke, Andrea Serino, Marco Solcà, Javier Bello Ruiz, Matteo Franza, Thomas Schmidlin, Mattia Pinardi, Marianne Anke Stephan

Previous evidence highlighted the multisensory-motor origin of embodiment - that is, the experience of having a body and of being in control of it - and the possibility of experimentally manipulating it. For instance, an illusory feeling of embodiment towa ...

2018

Two-phase calibration of a neuroprosthetic system

Grégoire Courtine, Eduardo Martin Moraud, Tomislav Milekovic, Marco Capogrosso, Fabien Bertrand Paul Wagner, Jérôme Gandar

Methods and systems are provided for triggering electrical stimulation of a spinal cord during execution of a motor event. In one example, a method comprises monitoring motor cortex activity while execution of a desired motor movement is attempted during a ...

2018

Neural Correlates of Sequential Decision Making

Michael Herzog, He Xu

In chess, a series of moves is made until a delayed sparse feedback (win, loss) is issued, which makes it impossible to evaluate the value of a single move. There are powerful reinforcement learning (RL) algorithms, which can cope with these sequential dec ...

2017

Neural Correlates of Sequential Decision Making

Michael Herzog, He Xu

2017

Action Monitoring Cortical Activity Coupled to Submovements

José del Rocio Millán Ruiz, Michael Eric Anthony Pereira, Aleksander Sobolewski

Numerous studies have examined neural correlates of the human brain’s action-monitoring system during experimentally segmented tasks. However, it remains unknown how such a system operates during continuous motor output when no experimental time marker is ...

2017

Hyperdimensional computing for blind and one-shot classification of EEG error-related potentials

José del Rocio Millán Ruiz

The mathematical properties of high-dimensional (HD) spaces show remarkable agreement with behaviors controlled by the brain. Computing with HD vectors, referred to as “hypervectors,” is a brain-inspired alternative to computing with numbers. HD computing ...

Springer Verlag2020

Hyperdimensional computing for noninvasive brain-computer interfaces: Blind and one-shot classification of EEG error-related potentials

José del Rocio Millán Ruiz

The mathematical properties of high-dimensional (HD) spaces show remarkable agreement with behaviors controlled by the brain. Computing with HD vectors, referred to as "hypervectors," is a brain-inspired alternative to computing with numbers. HD computing ...

2017

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