Signal Processing & Dynamical Systems

Specializing in continuous and discrete signals and systems with applications to signal detection and feature extraction for acoustics, sensory perception, speech & language processing, biophysics, and brain-computer interface design

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From Data to Prediction

Generating valid predictions from noisy or sparse data begins with a solid understanding of theory & design and access to a variety of analysis tools to facilitate practical application.

  • Signal Processing

    Signal Processing

    Time-series analysis, time-frequency analysis, linear and non-linear decomposition methods including spectral and spatial decomposition

  • Data Science

    Machine Learning & Statistics

    Unsupervised and semi-supervised machine learning, statistical design and analysis, neural networks including shallow and deep learning

  • Neuroscience

    Neuroscience & Biophysics

    Theoretical and applied neuroscience, neurophysiological processing and biophysics, electromagnetic volume conduction including finite and boundary element methods


NDLAB

Research Highlights

FFR reconstruction

Reconstructing speech sounds from EEG

Time-frequency reconstructions of brainwave activity while listening to speech can be used to extract encoded features of the speech sounds.

Predicting word length

Predicting word features during reading

Human sentence processing requires accurate and rapid predictions about linguistic information.

Predicting language development

Predicting early speech development

Semi-supervised machine learning can be used to identify predictors of speech development from brain activity in infants.

Current density reconstruction

Modeling dynamical brain activity

Modulatory brain systems and neural networks employ complex processes for rapid, real-time updating of sensory information.

Theoretical Research & Translational Application

A comprehensive list of published research can be found by following the link, below.
Published Research

Optimize Your Data

The analysis of dynamical signals & systems extends further than just brain processing. Get in touch to learn more about custom algorithm development or how these methods may apply to your data.