Tale Research

Reading your mind using EEG

Electroencephalography (EEG) datasets are often small and high dimensional, owing to cumbersome recording processes. We apply powerful machine learning techniques that are essential to deal with the large amount of information and overcome the curse of dimensionality. We are team of Computational Neuroscientists that work on Artificial Neural Networks (ANNs) that have achieved promising performance in EEG-based Brain-Computer Interface (BCI) applications, that involve computationally intensive training algorithms and hyperparameter optimization methods.

Machine Learning in Neuroimaging

Machine learning has deeply penetrated the neuroimaging field in the past 15 years, by providing a means to construct imaging signatures of normal and pathologic brain states on an individual person basis. We built Machine Learning models to decode and process fMRI data from our analytical platform to detect signatures of brain aging and early stages of neurodegenerative diseases, brain development and neuropsychiatric disorders, as well as brain cancer precision diagnostics.

Services

Seizure Prediction

PTSD Prediction

TBI Modeling

Brain Computing Interfaces for Robotics

Human Performance Modeling