Addison Schwamb - Electrical Engineering PhD Candidate with a passion for Computational Neuroscience

Research

Papers from my research work, in reverse chronological order

Blind Identification of State Transitions and Latent Neural Dynamics from Electrophysiological Recordings

An extension of the Mesoscale Individualized Neural Dynamics (MINDy) model to nonstationary data using unsupervised learning and Hidden Markov Models. (Journal of Neuroscience Methods)

Identification of Modulated Whole-Brain Dynamical Models from Nonstationary Electrophysiological Data

Using an extension of the MINDy model to create dynamic systems models of brain modulation during anesthesia. (Journal of Neural Engineering)

Data-Driven Modeling of Neural Dynamics from EEG to Track Physiological Changes

An extension of the Mesoscale Individualized Neural Dynamics (MINDy) model to track changes in children experiencing cardiac arrest. (IEEE Engineering in Medicine and Biology Conference 2024)

Implementation of an Open-Loop Turn Circle Intercept Controller

Implementation of control policies designed by an evolutionary algorithm with wheeled robots. (Presented at the IEEE Conference on Control Technology and Applications 2019)