High-resolution electroencephalographic (HREEG) techniques allow estimation of cortical activity based on non-invasive scalp potential measurements, using appropriate models of volume conduction and of neuroelectrical sources. In this study we propose an application of this body of technologies, originally developed to obtain functional images of the brain's electrical activity, in the context of brain-computer interfaces (BCI). Our working hypothesis predicted that, since HREEG pre-processing removes spatial correlation introduced by current conduction in the head structures, by providing the BCI with waveforms that are mostly due to the unmixed activity of a small cortical region, a more reliable classification would be obtained, at least...
Brain Computer Interfaces (BCIs) allow direct communication between the human brain and external dev...
Despite several decades of research, most mental health treatments are based on pharmacological mani...
Thesis (Ph.D.)--University of Washington, 2017-03This body of work is focused on brain-computer inte...
High-resolution electroencephalographic (HREEG) techniques allow estimation of cortical activity bas...
In the last decade, the possibility to noninvasively estimate cortical activity has been highlighted...
International audienceWe compare the results given by different methods to reconstruct cortical sour...
Brain computer interface (BCI) applications were initially designed to provide final users with spec...
The aim of this paper is to analyze whether the use of the cortical activity estimated from non inva...
International audienceWe provide a brief overview of our recent research into decoding cognitive sta...
In order to analyze whether the use of the cortical activity, estimated from noninvasive EEG recordi...
The research fieldof this dissertation are noninvasive, electroencephalography (EEG)-based, Brain-C...
International audienceWe provide a brief overview of our recent research into decoding cognitive sta...
International audienceWe provide a brief overview of our recent research into decoding cognitive sta...
International audienceWe provide a brief overview of our recent research into decoding cognitive sta...
The aim of this paper is to analyze whether the use of the cortical activity estimated from noninvas...
Brain Computer Interfaces (BCIs) allow direct communication between the human brain and external dev...
Despite several decades of research, most mental health treatments are based on pharmacological mani...
Thesis (Ph.D.)--University of Washington, 2017-03This body of work is focused on brain-computer inte...
High-resolution electroencephalographic (HREEG) techniques allow estimation of cortical activity bas...
In the last decade, the possibility to noninvasively estimate cortical activity has been highlighted...
International audienceWe compare the results given by different methods to reconstruct cortical sour...
Brain computer interface (BCI) applications were initially designed to provide final users with spec...
The aim of this paper is to analyze whether the use of the cortical activity estimated from non inva...
International audienceWe provide a brief overview of our recent research into decoding cognitive sta...
In order to analyze whether the use of the cortical activity, estimated from noninvasive EEG recordi...
The research fieldof this dissertation are noninvasive, electroencephalography (EEG)-based, Brain-C...
International audienceWe provide a brief overview of our recent research into decoding cognitive sta...
International audienceWe provide a brief overview of our recent research into decoding cognitive sta...
International audienceWe provide a brief overview of our recent research into decoding cognitive sta...
The aim of this paper is to analyze whether the use of the cortical activity estimated from noninvas...
Brain Computer Interfaces (BCIs) allow direct communication between the human brain and external dev...
Despite several decades of research, most mental health treatments are based on pharmacological mani...
Thesis (Ph.D.)--University of Washington, 2017-03This body of work is focused on brain-computer inte...