Brain stimulation
Mason City man is now virtually seizure free thanks to a new form of brain stimulation developed at Mayo Clinic

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2017 MSEL Ski Trip (3/9/17-3/12/17)


2016 MSEL Ski Trip (03/18/2016 - 03/20/2016)
Combined single neuron unit activity and local field potential oscillations in a human visual recognition memory task,
IEEE TBME BRAIN Initiative Special Issue (Cover), (01.2016).

neural encoding

Neural encoding of memories


AES 2015

AES 2015

Congrats to Brent on passing his doctoral qualifier
Congratulations to Brent Berry on passing his doctoral qualifier(11.10.2015).
Brent is working interictal localization of epileptic brain using wide bandwidth iEEG.
Next Generation Neuroscientist

Congratulations to Michal & Karolina on the arrival of Tomasz Kucewicz

Epilepsy Research Benefits from the Crowd

NIH Director's Blog

NIH Director's Blog
Grant Announcement

Grant Announcement

Mayo receives federal grant to develop smart devices to predict, stop seizures


Computational Neuroscience & Bioengineering

The Mayo Systems Electrophysiology Lab within the Departments of Neurology, Physiology & Biomedical Engineering at Mayo Clinic in Rochester, Minnesota has a postdoctoral position for a computational scientist interested in analysis of structural & functional imaging in epilepsy.

SUMMARY: The successful candidate will develop novel methods and algorithms for analysis of structural (MR) & functional (SPECT, PET, functional MRI) neuroimaging data in epilepsy. Our research involves computational techniques applied to multimodal imaging & electrophysiology from human & animal focal epilepsy. The successful candidate will join a team of scientists, engineers, surgeons, and clinicians investigating imaging & electrophysiological biomarkers of epilepsy.

RESPONSIBILITIES: The postdoctoral fellow will be responsible for applying image processing and machine learning techniques to structural and functional imaging modalities. The ideal candidate will develop and test hypotheses on human imaging data, and work as part of a multidisciplinary team focused on integrating multi-modal neuroimaging and wide bandwidth electrophysiology to improve localization of epileptogenic brain.

REQUIRED QUALIFICATIONS: PhD degree in mathematics, statistics, biomedical or electrical engineering, physics, or related field; experience in statistics, digital & imaging processing, machine learning, Matlab, and C programming.


  • Knowledge of computational methods applied to MRI
  • Experience and background in machine learning techniques
  • Excellent mathematical and analytical skills
  • Strong computer and programming skills (Linux, SQL, Matlab, C, C++, python)
  • Excellent written and verbal communication skills