Add to ORKGThe mean properties of event related potentials recorded on the scalp are usually obtained by means of synchronized average of a set of recorded sweeps. A parametric procedure based on an ARXn model of cerebral signal generation is able to extract a reliable estimation of the ERP contained in each sweep
This paper proposes the use of exponential autoregressive (EAR) model for modelling of time series t...
International audienceThe usual event-related potential (ERP) estimation is the average across epoch...
Being able to estimate the fMRI-BOLD response following a single task or stimulus is certainly of va...
Single-sweep visual evoked potential analysis would be useful in clinical electrophysiology practice...
Electrical signals between connected neural nuclei are difficult to model because of the complexity ...
Sweep by sweep analysis of event-related potentials (ERP) of the human scalp represents a reliable t...
International audienceThe present paper introduces a new perspective on the classical ensemble avera...
Contains fulltext : 76690.pdf (publisher's version ) (Open Access)Event-Related Po...
In this paper, we propose a novel method for solving the single-trial evoked potential (EP) estimati...
The paper describes a technique of stochastic parametric identification and filtering applied to the...
In cognitive neuroscience research, computational models of event-related potentials (ERP) can provi...
The rapid extraction of variations in evoked potentials (EPs) is of great clinical importance. Param...
We compared linear and neural network models for estimating human signal detection performance from ...
The event related potentials recorded before, during and after the voluntary movement of a finger, c...
Several approaches, based on different assumptions and with various degree of theoretical sophistica...
This paper proposes the use of exponential autoregressive (EAR) model for modelling of time series t...
International audienceThe usual event-related potential (ERP) estimation is the average across epoch...
Being able to estimate the fMRI-BOLD response following a single task or stimulus is certainly of va...
Single-sweep visual evoked potential analysis would be useful in clinical electrophysiology practice...
Electrical signals between connected neural nuclei are difficult to model because of the complexity ...
Sweep by sweep analysis of event-related potentials (ERP) of the human scalp represents a reliable t...
International audienceThe present paper introduces a new perspective on the classical ensemble avera...
Contains fulltext : 76690.pdf (publisher's version ) (Open Access)Event-Related Po...
In this paper, we propose a novel method for solving the single-trial evoked potential (EP) estimati...
The paper describes a technique of stochastic parametric identification and filtering applied to the...
In cognitive neuroscience research, computational models of event-related potentials (ERP) can provi...
The rapid extraction of variations in evoked potentials (EPs) is of great clinical importance. Param...
We compared linear and neural network models for estimating human signal detection performance from ...
The event related potentials recorded before, during and after the voluntary movement of a finger, c...
Several approaches, based on different assumptions and with various degree of theoretical sophistica...
This paper proposes the use of exponential autoregressive (EAR) model for modelling of time series t...
International audienceThe usual event-related potential (ERP) estimation is the average across epoch...
Being able to estimate the fMRI-BOLD response following a single task or stimulus is certainly of va...