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On How Network Architecture Determines the Dominant Patterns of Spontaneous Neural Activity
In the absence of sensory stimulation, neocortical circuits display complex patterns of neural activity. These patterns are thought to reflect relevant properties of the network, including anatomicalExpand
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Reliability, synchrony and noise
The brain is noisy. Neurons receive tens of thousands of highly fluctuating inputs and generate spike trains that appear highly irregular. Much of this activity is spontaneous - uncoupled to overtExpand
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Cardiorespiratory coupling: common rhythms in cardiac, sympathetic, and respiratory activities.
Cardiorespiratory coupling is an encompassing term describing more than the well-recognized influences of respiration on heart rate and blood pressure. Our data indicate that cardiorespiratoryExpand
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Functional Connectivity Estimated from Intracranial EEG Predicts Surgical Outcome in Intractable Temporal Lobe Epilepsy
This project aimed to determine if a correlation-based measure of functional connectivity can identify epileptogenic zones from intracranial EEG signals, as well as to investigate the prognosticExpand
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Abnormal cell-intrinsic and network excitability in the neocortex of serotonin-deficient Pet-1 knockout mice.
Neurons originating from the raphe nuclei of the brain stem are the exclusive source of serotonin (5-HT) to the cortex. Their serotonergic phenotype is specified by the transcriptional regulatorExpand
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Quantifying interactions between real oscillators with information theory and phase models: application to cardiorespiratory coupling.
Interactions between oscillators can be investigated with standard tools of time series analysis. However, these methods are insensitive to the directionality of the coupling, i.e., the asymmetry ofExpand
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A Model of Functional Brain Connectivity and Background Noise as a Biomarker for Cognitive Phenotypes: Application to Autism
We present an efficient approach to discriminate between typical and atypical brains from macroscopic neural dynamics recorded as magnetoencephalograms (MEG). Our approach is based on the fact thatExpand
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Information gain in the brain's resting state: A new perspective on autism
TLDR
We investigate the generation of information in ongoing brain activity recorded with magnetoencephalography (MEG) in children with autism spectrum disorder (ASD) and non-autistic children in the resting state; an important component of large-scale neural dynamics that no other method can resolve to date. Expand
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Analytical calculation of the frequency shift in phase oscillators driven by colored noise: implications for electrical engineering and neuroscience.
  • R. Galán
  • Mathematics, Medicine
  • Physical review. E, Statistical, nonlinear, and…
  • 17 September 2009
We provide an analytical expression for the mean frequency shift in phase oscillators as a function of the standard deviation, sigma and the autocorrelation time, tau of small random perturbations.Expand
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Elevated serotonergic signaling amplifies synaptic noise and facilitates the emergence of epileptiform network oscillations.
Serotonin fibers densely innervate the cortical sheath to regulate neuronal excitability, but its role in shaping network dynamics remains undetermined. We show that serotonin provides an excitatoryExpand
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