Neural representations span various spatiotemporal scales of brain activity, from the spiking
activity of single neurons to field activity measuring large-scale networks. The simultaneous …

Objective. Brain recordings exhibit dynamics at multiple spatiotemporal scales, which are
measured with spike trains and larger-scale field potential signals. To study neural …

Neurotechnological innovations allow for simultaneous recording at various scales, ranging
from spiking activity of individual neurons to large neural populations' local field potentials …

Advances in recording technologies have given neuroscience researchers access to large
amounts of data, in particular, simultaneous, individual recordings of large groups of …

Reconstruction of anatomical connectivity from measured dynamical activities of coupled
neurons is one of the fundamental issues in the understanding of structure-function …

Simultaneous recordings of spike trains from multiple single neurons are becoming
commonplace. Understanding the interaction patterns among these spike trains remains a …

The application of data-driven time series analysis techniques such as Granger causality,
partial directed coherence and phase dynamics modeling to estimate effective connectivity …

The brain can be regarded as an information processing system in which neurons store and
propagate information about external stimuli and internal processes. Therefore, estimating …

In systems neuroscience, it is becoming increasingly common to record the activity of
hundreds of neurons simultaneously via electrode arrays. The ability to accurately measure …

Statistically inferred neuronal connections from observed spike train data are often skewed
from ground truth by factors such as model mismatch, unobserved neurons, and limited data …