This review discusses machine learning methods and their application to Brain-Computer Interfacing. A particular focus is placed on feature selection. We also point out common flaws when validating machine learning methods in the context of BCI. Finally we provide a brief overview on the Berlin-Brain Computer Interface (BBCI). 1
A brain-computer interface (BCI) is a system that allows its users to control external devices with ...
This thesis explores machine learning models for the analysis and classification of electroencephalo...
A Brain-Computer Interface (BCI) is a system that allows its users to control external devices with ...
Brain-computer interfaces (BCIs) are systems that translate brain activity patterns into commands th...
Brain-computer interfaces (BCIs) are systems that translate brain activity patterns into commands th...
Brain-computer interfaces (BCIs) are systems that translate brain activity patterns into commands th...
Brain Computer Interfacing (BCI) – a modern instantiation of Neurotechnology – aims at making use of...
This review article provides a deep insight into the Brain–Computer Interface (BCI) and the applicat...
Brain computer interfaces (BCI) is a tool that can make user requests to computerized systems by dir...
International audienceBrain–computer interfaces (BCI) are devices which measure brain activity and t...
We present an overview of the joint work of members of two groups based in Tuebingen, Southern Germa...
Brain-computer interfaces (BCI) aim to be the ultimate in assistive technology: decoding a userlsquo...
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain ...
Many people in the world live with qualitative limitations due to paraplegia, visual impairment or l...
The Berlin Brain-Computer Interface (BBCI) uses a machine learning approach to extract subject-speci...
A brain-computer interface (BCI) is a system that allows its users to control external devices with ...
This thesis explores machine learning models for the analysis and classification of electroencephalo...
A Brain-Computer Interface (BCI) is a system that allows its users to control external devices with ...
Brain-computer interfaces (BCIs) are systems that translate brain activity patterns into commands th...
Brain-computer interfaces (BCIs) are systems that translate brain activity patterns into commands th...
Brain-computer interfaces (BCIs) are systems that translate brain activity patterns into commands th...
Brain Computer Interfacing (BCI) – a modern instantiation of Neurotechnology – aims at making use of...
This review article provides a deep insight into the Brain–Computer Interface (BCI) and the applicat...
Brain computer interfaces (BCI) is a tool that can make user requests to computerized systems by dir...
International audienceBrain–computer interfaces (BCI) are devices which measure brain activity and t...
We present an overview of the joint work of members of two groups based in Tuebingen, Southern Germa...
Brain-computer interfaces (BCI) aim to be the ultimate in assistive technology: decoding a userlsquo...
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain ...
Many people in the world live with qualitative limitations due to paraplegia, visual impairment or l...
The Berlin Brain-Computer Interface (BBCI) uses a machine learning approach to extract subject-speci...
A brain-computer interface (BCI) is a system that allows its users to control external devices with ...
This thesis explores machine learning models for the analysis and classification of electroencephalo...
A Brain-Computer Interface (BCI) is a system that allows its users to control external devices with ...