Semantic conditioning of salivary pH for communication-Reference-Cited by-同舟云学术

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Semantic conditioning of salivary pH for communication

Published:2013-10 Issue:2 Volume:59 Page:91-98
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Ruf Carolin A.,De Massari Daniele,Wagner-Podmaniczky Franziska,Matuz Tamara,Birbaumer Niels

Funder

Bundesministerium für Bildung und Forschung (BMBF) Bernstein Fokus Neurotechnologie

Deutsche Forschungsgemeinschaft

European Commission Framework Programmme 7 (FP7)

Marie Curie Networks for Initial Training: ITN-LAN

European Research Council

Deutsche Forschungsgemeinschaft (DFG)

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference39 articles.

1. Brain–computer-interface research: coming of age;Birbaumer;Clinical Neurophysiology,2006

2. Classifying EEG and ECoG signals without subject training for fast BCI implementation: Comparison of nonparalyzed and completely paralyzed subjects;Hill;IEEE Transactions on Neural Systems and Rehabilitation Engineering,2006

3. Brain–computer interfaces and communication in paralysis: extinction of goal directed thinking in completely paralysed patients?;Kübler;Clinical Neurophysiology,2008

4. Classical conditioning in the vegetative and minimally conscious state;Bekinschtein;Nature Neuroscience,2009

5. Classical conditioning and brain systems: the role of awareness;Clark;Science,1998

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1. “Look at my classifier's result”: Disentangling unresponsive from (minimally) conscious patients;NeuroImage;2017-01

2. Trends in BCI Research I: Brain-Computer Interfaces for Assessment of Patients with Locked-in Syndrome or Disorders of Consciousness;SpringerBriefs in Electrical and Computer Engineering;2017

3. Brain–computer interfaces for communication and rehabilitation;Nature Reviews Neurology;2016-08-19

4. Brain–computer interfaces in the completely locked-in state and chronic stroke;Progress in Brain Research;2016

5. Brain–Machine Interfaces for Communication in Complete Paralysis: Ethical Implications and Challenges;Handbook of Neuroethics;2014-09-29

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