The University of Lethbridge is a world class research facility that has the only Neuroscience Department in Canada, including some of the top researchers in the area. Bruce McNaughton received the $20 million Alberta Heritage Foundation for Medical Research Polaris Award on October 3rd, 2008. The award is the largest of its kind, and will support Lethbridge Brain Dynamics (LBD) for 10 years.

Lethbridge Brain Dynamics offers opportunity to those interested in advancing research in the area of Neuroscience. It is a goal to make the group larger and more dynamic. Presently, our members are from Canada, China, Congo, Croatia, Czech Republic, France, Germany, India, Ireland, Japan, Mexico, Moldova, Poland, UK, US, and Venezuela. The group also contains those with backgrounds in Neuroscience, Molecular Biology, Biology, Image Processing, Physics, Marketing and Programming. Please contact a principal investigator or view our opportunities page for more information.

Presentation - August 11, 2015

A neural code for memory and time in the hippocampus

By Dr. Jill Leutgeb
Walter F. Heiligenberg Professorship of Neuroethology
Center for Neural Circuits and Behavior
Division of Biological Sciences
Neurobiology Section
University of California, San Diego
La Jolla, CA, USA
Tuesday, August 11, 2015
9:00 am
Everyone is welcome!

Presentation - August 11, 2015

The Mohajerani Lab presents:

How Primary Motor Cortex Relates to the Motor Periphery

By Ethan Heming
Postdoctoral Candidate
Queen's University, Laboratory of Integrative Motor Behaviour
Kingston, ON, Canada
Monday, August 11, 2015
01:00 pm
Everyone is welcome!


September 29, 2015
Presentation by Dr. Michael Kyweriga
Title: Sound evoked responses in the posterior parietal cortex: A candidate for top-down control

September 8, 2015
Presentation by Cassandra Lawrence
Title: "Morris Water Task - Chat Phenotype"

September 8, 2015
Presentation by Sergey Chekhov
Titles: Investigation of distant cue processing in the hippocampus using the rate remapping approach/A Setup for Simultaneous Recording of Electrophysiological Signal and Voltage-Sensitive Dye Images from Mouse Cortex

August 25, 2015
Presentation by Sienna Randolph
Title: The Effects of Acute THC on Reinforcement-Driven Decision Making

August 25, 2015
Presentation by Kyler Fisher
Title: Better by Surprise? Investigating the Role of Prediction in Gambling Addiction

August 25, 2015
Presentation by Cormac Southam & Jeremy Sloan
Title: Targeted Memory Reactivation Quickens Procedural Skill Learning

August 25, 2015
Presentation by Behroo Mirzaagha
Title: Post-Stroke Brain Reorganization: Application of Optogenetics in Stroke Recovery

iCORE Project

New Project: iCORE project on computational neuroscience is beginning in February, 2010, and will be a three year project. In brief, the project aim is to develop an information-geometric (IG) analysis for multi-neuronal data and a computational model for motor learning. Independent study students at the University are welcome to be a part of the project. Anyone who is interested please email Masami Tatsumo for further information.


Available Position

Mohajerani Lab is currently looking for:

  1. Post-doctoral fellow with experience in in vivo two-photon imaging and animal surgery. Excellent communication skills are a must. Experience in MATLAB will be an asset.
  2. Master and Ph.D. graduate students interested in learning in vivo optical imaging.
  3. Optical specialist, see this link for more information.
  4. There are many potential projects in the lab for undergraduates interested in independent studies, summer positions and honours projects. Interested students should email their transcript, and CV to Dr. Mohajerani.

Please contact Dr. Mohajerani by email with a CV and one page cover letter.

Available Position

PhD and Post-doctoral opportunities in machine learning and neuroscience.

We seek highly motivated individuals with strong computational backgrounds to work at the interface of machine learning and neuroscience. We have extensive data sets recorded with state-of-the-art optical and electrophysiological methods, spanning normal and abnormal brain function in several experimental preparations. Recent developments in unsupervised machine learning (e.g. deep neural networks) now enable discovery of high-level features of such complex data sets, and provide an opportunity for breakthroughs in understanding brain function.

Conversely, many of the most influential ideas in artificial neural networks have been inspired by biological networks. We therefore also endeavor to implement computational elements revealed by recent experimental findings in order to endow artificial neural networks with more brain-like capabilities.

Candidates should have a strong interest in understanding how the brain works, and expertise in computational science. Prior experience with deep learning algorithms is preferred but not required. Successful candidates will join the highly collaborative and interdisciplinary Brain Dynamics group (, which has outstanding research strengths in the areas of learning and memory, decision making, information coding and related diseases such as Alzheimer's, schizophrenia, addiction and stroke. Funding is available through our departmental NSERC CREATE grant in Biological Information Processing, which provides a competitive stipend and unique training opportunities in quantitative sciences and entrepreneurship. Lethbridge is a small city located two hours from Calgary, 90 minutes from the Canadian Rockies, and has a sunny and dry climate.

For more information please contact Dr. Aaron Gruber ( or Dr. Artur Luczak (

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