[PDF][PDF] Information flow in networks based on nonstationary multivariate neural recordings
N Klein - 2019 - stat.cmu.edu
Neural recordings, such as local field potentials (LFPs), reflect the activity of populations of
neurons in time-varying voltage traces and, due to high temporal resolution, they are well …
neurons in time-varying voltage traces and, due to high temporal resolution, they are well …
[PDF][PDF] Discovery of Functional Predictivity across Brain Regions from Local Field Potentials
H Bong - 2022 - heejongbong.github.io
Neural recordings from high-density microelectrode arrays yield high-dimensional time-
series observations, simultaneously recorded from multiple brain regions, with good spatial …
series observations, simultaneously recorded from multiple brain regions, with good spatial …
Inferring network model from local field potentials
J Makarova, O Herreras, VA Makarov - BMC Neuroscience, 2013 - Springer
Experimental study of neural information processing requires simultaneous sampling of the
activity of multiple cells over the network. One of the promising approaches relies on …
activity of multiple cells over the network. One of the promising approaches relies on …
Unsupervised identification of neural events in local field potentials
Abstract Local Field Potentials (LFP) recordings carry information about a large variety of
dynamical network mechanisms occurring at multiple scales. While these mechanisms are …
dynamical network mechanisms occurring at multiple scales. While these mechanisms are …
Generalized phase locking analysis of electrophysiology data
Brain information processing likely relies on cooperative interactions between neural
populations at multiple scales. Growing evidence suggests that network oscillations, as …
populations at multiple scales. Growing evidence suggests that network oscillations, as …
[HTML][HTML] Cross-population coupling of neural activity based on Gaussian process current source densities
Because local field potentials (LFPs) arise from multiple sources in different spatial
locations, they do not easily reveal coordinated activity across neural populations on a trial …
locations, they do not easily reveal coordinated activity across neural populations on a trial …
Tracking recurrence of correlation structure in neuronal recordings
SA Neymotin, ZN Talbot, JQ Jung, AA Fenton… - Journal of neuroscience …, 2017 - Elsevier
Background Correlated neuronal activity in the brain is hypothesized to contribute to
information representation, and is important for gauging brain dynamics in health and …
information representation, and is important for gauging brain dynamics in health and …
Cross-population amplitude coupling in high-dimensional oscillatory neural time series
An important outstanding problem in analysis of neural data is to characterize interactions
across brain regions from high-dimensional multiple-electrode recordings during a …
across brain regions from high-dimensional multiple-electrode recordings during a …
Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses
The brain is a complex network of interconnected elements, whose interactions evolve
dynamically in time to cooperatively perform specific functions. A common technique to …
dynamically in time to cooperatively perform specific functions. A common technique to …
[HTML][HTML] Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses
EP Stephen, KQ Lepage, UT Eden… - Frontiers in …, 2014 - frontiersin.org
The brain is a complex network of interconnected elements, whose interactions evolve
dynamically in time to cooperatively perform specific functions. A common technique to …
dynamically in time to cooperatively perform specific functions. A common technique to …