Epilepsy is a neurological disorder of the brain that causes frequent occurrence of seizures.
Electroencephalography (EEG) is a tool that assists neurologists in detecting epileptic …

Most stochastic models assume that noise has no temporal correlation: that the values of a
random signal at two instants in time are completely independent of each other. This kind of …

Abstract The Multi-scale Ultra-high Resolution (MUR) sea surface temperature (SST)
analysis presents daily SST estimates on a global 0.01°× 0.01° grid. The current version …

This paper discusses techniques for generating digital sequences of noise which simulate
processes with certain known properties or describing equations. Part I of the paper …

The wavelet variance decomposes the variance of a time series into components associated
with different scales. We consider two estimators of the wavelet variance: the first based …

Even in the absence of an experimental effect, functional magnetic resonance imaging
(fMRI) time series generally demonstrate serial dependence. This colored noise or …

Early stages of visual processing may exploit the characteristic structure of natural visual
stimuli. This structure may differ from the intrinsic structure of natural scenes, because …

We develop a probability model for natural images, based on empirical observation of their
statistics in the wavelet transform domain. Pairs of wavelet coefficients, corresponding to …

This paper combines wavelet transforms with basic detection theory to develop a new
unsupervised method for robustly detecting and localizing spikes in noisy neural recordings …

This essay is presented with two principal objectives in mind: first, to document the
prevalence of fractals at all levels of the nervous system, giving credence to the notion of …