Investigating the spectral properties of the neural covariates that underlie spiking activity is
an important problem in systems neuroscience, as it allows to study the role of brain rhythms …

To capture the slowly time-varying spectral content of real-world time-series, a common
paradigm is to partition the data into approximately stationary intervals and perform …

Short-time Fourier transform (STFT) is the most common window-based approach for
analyzing the spectrotemporal dynamics of time series. To mitigate the effects of high …

Assume X 1, X 2,…, XN are realizations of N observations from a real-valued discrete
parameter third-order stationary process X t, t= 0±1,±2,…, with bispectrum f XXX (λ 1, λ 2) …

Spectral properties of the electroencephalogram (EEG) are commonly analyzed to
characterize the brain's oscillatory properties in basic science and clinical neuroscience …

Extracting the spectral representations of neural processes that underlie spiking activity is
key to understanding how brain rhythms mediate cognitive functions. While spectral …

When I initially set out to research in the intersection of statistical signal processing and
neuroscience (neural signal processing), my research advisor, Professor Emery N. Brown …

The multitaper method was developed by David Thomson of Bell Labs in the 1970's and
1980's culminating in a landmark 1982 paper “Spectral Estimation and Harmonic …

Medical Signals are considered as vital signs for internal operations of the human body. By
closely observing and analyzing them we could infer the state of any important organs like …

Based on extant literature, it is unclear whether life-expectancy-at-birth estimates are
improved, or adversely affected, by maladapted foreign capital instruments. Accordingly, this …