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MRBMWeapon
The paper describes a technique of stochastic parametric identification and filtering applied to the analysis of single-sweep event related potentials (MRBM: Movement Related Brain Macropotentials
Single-sweep visual evoked potential analysis would be useful in clinical electrophysiology practice...
Brain–computer interfacing (BCI) is a promising technique for regaining communication and control in...
We propose a Bayesian method to extract single-trial event related potentials (ERPs). The method is ...
Sweep by sweep analysis of event-related potentials (ERP) of the human scalp represents a reliable t...
The mean properties of event related potentials recorded on the scalp are usually obtained by means ...
The goal of this paper is to build a detector of event-related potentials (ERP) in single-trial EEG ...
In this paper, an approach for the estimation of single trial event-related potentials (ST-ERPs) usi...
Conventional brain maps suffer from severe limitations due to both spatial blur of potential distrib...
In this paper, an approach for the estimation of single trial event-related potentials (ST-ERPs) usi...
This paper deals with the problem of inferring the signals and parameters that cause neural activity...
Alterations in attention are known to modify excitability of underlying cortical structures and thus...
This paper proposes a new modeling framework for estimating single-trial event-related potentials (E...
Adding noise to a weak input signal can enhance the response of a non-linear system, a phenomenon kn...
In this thesis, inspired by the development of the Brain-computer-interface (BCI) technology, we pre...
In this study, we propose a novel method to investigate P300 variability over different trials. The ...
Single-sweep visual evoked potential analysis would be useful in clinical electrophysiology practice...
Brain–computer interfacing (BCI) is a promising technique for regaining communication and control in...
We propose a Bayesian method to extract single-trial event related potentials (ERPs). The method is ...
Sweep by sweep analysis of event-related potentials (ERP) of the human scalp represents a reliable t...
The mean properties of event related potentials recorded on the scalp are usually obtained by means ...
The goal of this paper is to build a detector of event-related potentials (ERP) in single-trial EEG ...
In this paper, an approach for the estimation of single trial event-related potentials (ST-ERPs) usi...
Conventional brain maps suffer from severe limitations due to both spatial blur of potential distrib...
In this paper, an approach for the estimation of single trial event-related potentials (ST-ERPs) usi...
This paper deals with the problem of inferring the signals and parameters that cause neural activity...
Alterations in attention are known to modify excitability of underlying cortical structures and thus...
This paper proposes a new modeling framework for estimating single-trial event-related potentials (E...
Adding noise to a weak input signal can enhance the response of a non-linear system, a phenomenon kn...
In this thesis, inspired by the development of the Brain-computer-interface (BCI) technology, we pre...
In this study, we propose a novel method to investigate P300 variability over different trials. The ...
Single-sweep visual evoked potential analysis would be useful in clinical electrophysiology practice...
Brain–computer interfacing (BCI) is a promising technique for regaining communication and control in...
We propose a Bayesian method to extract single-trial event related potentials (ERPs). The method is ...
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