Neuroengineering and Control Lab

Computational Neuroengineering for Adaptive Therapies

We combine computational neuroscience, control theory, and machine learning to develop predictive, closed-loop technologies for neural and physiological stimulation.

Explore Our Research

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Closed-loop neuroengineering workflow showing neural signals, state estimation, feedback control, and stimulation returning to a neural network model.

Our Research

We develop computational and data-driven approaches to understand and control complex neural and physiological systems.

Closed-Loop Neurostimulation

We develop computational models and feedback-control strategies to regulate pathological neural activity and improve stimulation therapies.

Ongoing research workflow showing auditory stimulation, EEG recording, affective-state tracking, and computational modeling.

Auditory Stimulation and Affective Dynamics

We are investigating how noninvasive auditory stimulation may influence emotional states and how EEG signals can characterize the associated neural dynamics.

Neural activity mapped into low-dimensional state-space and computational models for prediction and feedback control.

Computational Modeling and Control

We combine dynamical systems, computational modeling, and control theory to understand and guide complex biological systems.

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