Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
The dynamic brain: from spiking neurons to neural masses and cortical fields
The cortex is a complex system, characterized by its dynamics and architecture, which
underlie many functions such as action, perception, learning, language, and cognition. Its …
underlie many functions such as action, perception, learning, language, and cognition. Its …
Neural masses and fields in dynamic causal modeling
Dynamic causal modeling (DCM) provides a framework for the analysis of effective
connectivity among neuronal subpopulations that subtend invasive (electrocorticograms and …
connectivity among neuronal subpopulations that subtend invasive (electrocorticograms and …
An empirical survey of data augmentation for time series classification with neural networks
In recent times, deep artificial neural networks have achieved many successes in pattern
recognition. Part of this success can be attributed to the reliance on big data to increase …
recognition. Part of this success can be attributed to the reliance on big data to increase …
[HTML][HTML] Mathematical framework for large-scale brain network modeling in The Virtual Brain
In this article, we describe the mathematical framework of the computational model at the
core of the tool The Virtual Brain (TVB), designed to simulate collective whole brain …
core of the tool The Virtual Brain (TVB), designed to simulate collective whole brain …
Time series data augmentation for neural networks by time war** with a discriminative teacher
Neural networks have become a powerful tool in pattern recognition and part of their
success is due to generalization from using large datasets. However, unlike other domains …
success is due to generalization from using large datasets. However, unlike other domains …
A neural mass model for MEG/EEG:: coupling and neuronal dynamics
Although MEG/EEG signals are highly variable, systematic changes in distinct frequency
bands are commonly encountered. These frequency-specific changes represent robust …
bands are commonly encountered. These frequency-specific changes represent robust …
Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition
This paper focuses on high‐frequency (gamma band) EEG activity, the most characteristic
electrophysiological pattern in focal seizures of human epilepsy. It starts with recent …
electrophysiological pattern in focal seizures of human epilepsy. It starts with recent …
The repertoire of seizure onset patterns in human focal epilepsies: determinants and prognostic values
Objective In this study, we seek to analyze the determinants of the intracranial
electroencephalography seizure onset pattern (SOP) and the impact of the SOP in predicting …
electroencephalography seizure onset pattern (SOP) and the impact of the SOP in predicting …
Computational models of epileptiform activity
We reviewed computer models that have been developed to reproduce and explain
epileptiform activity. Unlike other already-published reviews on computer models of …
epileptiform activity. Unlike other already-published reviews on computer models of …
Mechanisms of evoked and induced responses in MEG/EEG
Cortical responses, recorded by electroencephalography and magneto-encephalography,
can be characterized in the time domain, to study event-related potentials/fields, or in the …
can be characterized in the time domain, to study event-related potentials/fields, or in the …