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Tentative PROGRAM - Centro de Automática y Robótica

Tentative PROGRAM - Centro de Automática y Robótica

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SS2.3Manipulative Evaluation of Alpha Bottom-­‐up Networks in the Resting-­‐state by Combined TMS-­‐EEGMasahiro Kawasaki, Yuji Mizuno and Keiichi KitajoSS2.4SS2.5Trajectory optimization by Tacit learningChanges in corticospinal excitability following the use of a BCI based protocol combined with sham visual feedbackShingo Shimoda and Hi<strong>de</strong>nori KimuraSigne Kristensen, Imran Khan Niazi, Mads Jochumsen, Ning Jiang, Dario Farina and Natalie Mrachacz-­‐KerstingPoster SessionContributionP3 -­‐ Poster SessionAuthorsDayTh15Time16-­‐17:3018:30-­‐20P3.1 EEG-­‐Eye blink <strong>de</strong>tection system for Brain Computer InterfaceP3.2P3.3Neurorehabilitation in chronic paraplegic patients with the HAL® Exoskeleton – preliminary electrophysiological and fMRI data of a pilot studyInvestigating the Neural Basis for Stroke Rehabilitation by Brain-­‐Computer InterfacesSandy Rihana, Pascal Damien and Tony MoujaessMatthias Sczesny-­‐Kaiser, Oliver Höffken, Silke Lissek, Melanie Lenz, Lara Schlaffke, Volkmar Nicolas, Renate Meindl, Mirko Aach, Yoshiyuki Sankai, Thomas A. Schildhauer, Martin Tegenthoff and Peter Schwenkreis Timm Meyer, Jan Peters, Thorsten Zan<strong>de</strong>r, Doris Brötz, Surjo Soekadar, Bernhard Schölkopf and Moritz Grosse-­‐WentrupP3.4A Workstation for Development of Brain Machine Interfaces Using Spiking Neural NetworksMehmet Kocaturk, Halil Ozcan Gulcur and Resit CanbeyliP3.5P3.6P3.7Asynchronous BCIs for the early <strong>de</strong>tection and classification of voluntary movements: Applications in Stroke rehabilitationIndividual Evaluation of Interhemispheric Neural Synchrony mediating Perceptual Bias in Apparent Motion Perception -­‐ A TMS-­‐EEG study and applications in rehabilitation -­‐A P300-­‐based BCI Aimed at Managing Electronic Devices for People with Severe DisabilitiesP3.8 tDCS modulates motor imagery-­‐related BCI featuresP3.9Sample-­‐by-­‐Sample Detection of Movement Intention from EEG using a Classifier with Optimized Decision ParametersP3.10 Using the Brain-­‐rate as a preliminary indicator of general mental activationJaime Ibáñez, M. Dolores Del Castillo and J. Ignacion SerranoYuji Mizuno, Masahiro Kawasaki and Keiichi KitajoRebeca Corralejo, Daniel Álvarez and Roberto HorneroRicardo Chavarriaga, Andrea Biasiucci, Alberto Molina, Robert Leeb Leeb, Vanesa Soto Leon, Michela Campolo, Antonio Oliviero and José Del R. MillanWanjoo Park, Jae-­‐Hwang Kang, Gyuhyun Kwon, Laehyun Kim and Sung-­‐Phil KimSaso Koceski, Silvana Markovska-­‐Simoska and Nada Pop-­‐Jordanova

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