Objective. Behavior is encoded across multiple scales of brain activity, from binary neuronal
spikes to continuous fields including local field potentials (LFP). Multiscale models need to …

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 …

Statistical dependency between neuronal spike trains forms a basis for information encoding
in memory and learning. The said dependency could also be a key to detecting pathologies …

INTRODUCTION In contemporary neuroscience understanding how network dynamics
arises from the properties of groups of neurons (at different levels of organization) and …

Neural processes in the brain operate at a range of temporal scales. Granger causality, the
most widely-used neuroscientific tool for inference of directed functional connectivity from …

Granger causality is an increasingly prevalent tool in extracting the functional networks that
underlie neural processes. While its time domain formulation yields useful insights into these …

Background. Brain function requires a coordinated flow of information among functionally
specialized areas. Quantitative methods provide a multitude of metrics to quantify the …

When analyzing neural data it is important to consider the limitations of the particular
experimental setup. An enduring issue in the context of electrophysiology is the presence of …

Understanding the dynamics of neural processes critically involved in initiating and
propagating a seizure may help in devising novel methods of seizure detection, intervention …

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