Netoff Epilepsy and Neuroengineering Laboratory

General Page Body

Welcome to the Netoff Lab

Mission

Our research laboratory focuses on understanding the basic neuroscience underlying epilepsy and developing new ways to treat epilepsy. The human brain is one of the complicated and elegant structures in the natural world. Using mathematic analysis we can simplify the non-linear and high order activity of the brain into meaningful and more easily understood data. Using the mathematical models we develop, we can predict how new drugs will affect brain activity or how deep brain stimulation will alter synchrony in networks. Our goal is develop new, innovative ways to predict, treat, and terminate seizures to improve patient care.

The goal of the NeuralNetoff lab is to better understand how seizures are generated and how they propagate through the brain. We are particularly interested in how inhibitory neurons play a role in seizure activity. Much epilepsy research has focused on the excitatory cells because the large amount of activation of neurons during a seizure. Our research leads us to believe that inhibitory cells may play a significant role in the onset of seizures.

Lab Positions Available

  • Researcher 2:  We are currently looking for a Researcher position to take over our ultrasound treatment for epilepsy project.  Full job description and application can be found at:  https://hr.myu.umn.edu/jobs/ext/336342.  Please contact Dr. Netoff ([email protected]) with any questions.  

Academics

Professor Netoff teaches:

  • Spring: BMEn 8502, Physiological Control Systems
  • Fall: BMEn 5411, Neural Engineering

Neuroengineering Emphasis Area Advisor

Office hours for class and Emphasis Area Advising:

Monday 2:30-3:30 PM in 6-122 NHH

 

Upcoming events:

Lab Intranet Connections

These sites can only be accessed from on campus

Netoff Lab Intranet

Lab Electronic Notebook

Lab Database

Where are we?

Location

Neural Netoff News

Congrats to Logan Grado for defending his Ph.D. thesis

03/11/2020 - 13:39

Logan recently defended his thesis titled:  Machine Learning for Deep Brain Stimulation.  We are excited that Logan has obtained his Ph.D. and we are happy that he has the oppourtunity to move out to San Fransciso to work for Apple.