Theoden Ivan Netoff

This paper evaluates effective connectivity metrics for reconstructing neural network topology under data limitations, finding that multivariate transfer entropy is most accurate but slow, while partial cross-correlation is efficient for larger networks.

This study uses micromagnetic stimulation to control dopamine release in rodent brains, showing coil orientation and intensity affect dopamine concentration in real time.

The paper develops online methods to track non-stationary neural oscillations and recover phase response curves (PRCs) and amplitude response curves (ARC) despite estimation errors and changing dynamics.

The paper introduces a compact test setup called the Coil Driver to drive micromagnetic stimulation devices, capable of handling small inductive loads up to 8 V at 5 A and 10 kHz.

This study optimizes electrical stimulation parameters for cerebellar seizure control in a mouse model using Bayesian optimization, finding effective settings that consistently inhibit seizures.

The paper develops a neural mass model that better reproduces physiological features of cortical alpha rhythms and their responses to visual and electrical stimulation.