The coherence function has been widely applied in quantifying the degree of synchronism between electroencephalogram (EEG) signals obtained from different brain regions. However, when applied to investigating synchronization resulting from rhythmic stimulation, misleading results can arise from the high correlation of background EEG activity. The authors, thus propose a modified measure, which emphasizes the synchronized stimulus responses and reduces the influence of the spontaneous EEG activity. Critical values for this estimator are derived and tested in Monte Carlo simulations. The effectiveness of the method is illustrated on data recorded from 12 young normal subjects during rhythmic photic stimulation
People have a natural and intrinsic ability to coordinate body movements with rhythms surrounding th...
A comparison of previously defined spike train synchronization indices is undertaken within a stocha...
The chapters thus far have described quantitative tools that can be used to extract information from...
Synchrony at the physiological level is an objective measure that can be used to investigate cooper...
[Abstract] A new synchrony index for neural activity is de ned in this paper. The method is able to...
Cortical computation involves the formation of cooperative neuronal assemblies characterized by sync...
Studies of neuronal network oscillations and rhythmic neuronal synchronization have led to a number ...
Phase Synchrony (PS) and coherence analyses of stochastic time series – tools to discover brain tiss...
AbstractWe investigate the emergence of synchronization in two groups of oscillators; one group acts...
r r Abstract: This article presents, for the first time, a practical method for the direct quantific...
Coherence between a pulse train representing periodic stimuli and the EEG has been used in the objec...
Introduction: Neural activity exhibits non-periodic rhythm [2] but it is unknown if neural activity ...
Background: The brain is continuously targeted by a wealth of stimuli with complex spatio-temporal p...
The critical brain hypothesis provides a framework for viewing the human brain as a critical system,...
Time-frequency coherence has been widely used to quantify statistical dependencies in bivariate data...
People have a natural and intrinsic ability to coordinate body movements with rhythms surrounding th...
A comparison of previously defined spike train synchronization indices is undertaken within a stocha...
The chapters thus far have described quantitative tools that can be used to extract information from...
Synchrony at the physiological level is an objective measure that can be used to investigate cooper...
[Abstract] A new synchrony index for neural activity is de ned in this paper. The method is able to...
Cortical computation involves the formation of cooperative neuronal assemblies characterized by sync...
Studies of neuronal network oscillations and rhythmic neuronal synchronization have led to a number ...
Phase Synchrony (PS) and coherence analyses of stochastic time series – tools to discover brain tiss...
AbstractWe investigate the emergence of synchronization in two groups of oscillators; one group acts...
r r Abstract: This article presents, for the first time, a practical method for the direct quantific...
Coherence between a pulse train representing periodic stimuli and the EEG has been used in the objec...
Introduction: Neural activity exhibits non-periodic rhythm [2] but it is unknown if neural activity ...
Background: The brain is continuously targeted by a wealth of stimuli with complex spatio-temporal p...
The critical brain hypothesis provides a framework for viewing the human brain as a critical system,...
Time-frequency coherence has been widely used to quantify statistical dependencies in bivariate data...
People have a natural and intrinsic ability to coordinate body movements with rhythms surrounding th...
A comparison of previously defined spike train synchronization indices is undertaken within a stocha...
The chapters thus far have described quantitative tools that can be used to extract information from...