Training

Campus Alberta Neuroscience works to improve an already strong neuroscience educational landscape. This work focuses on increased sharing of neuroscience education across the University of Alberta, University of Calgary and University of Lethbridge (and to include other campuses over time). This will improve access for Alberta’s neuroscience students to expertise and resources beyond the boundaries of a single campus.  We are currently piloting approaches to sharing courses and identifying future shared courses in the neuroscience discipline to deliver across the three campuses.

Trainee Retreat


Designing your Future – May 11-12, 2019
 Banff Centre for Arts and Creativity, Banff, Alberta

Retreat Description

Campus Alberta Neuroscience (CAN) was created to deliver positive, measurable and lasting impact in neuroscience and mental health research, education and translation and to establish Alberta as a hub for innovation and excellence. We are pleased to partner once again with Banff Centre for Arts and Creativity for the CAN Trainee Professional Development Retreats. Alberta Health Services’s Cardiovascular Health and Stroke Strategic Clinical Network is also pleased to sponsor 4 participants in the May 2019 retreat who are undertaking stroke related research. The retreats are a formal opportunity to bring together trainees from across the province to explore professional development topics relevant to trainees’ future careers, both inside and outside of academia.

The Trainee Professional Development Retreats are a series of three events. All three of the retreats will incorporate the use of interactive and engaging exercises, such as:

  • Experiential Learning: problem-solving tasks and live experiences to animate the ideas of the program. These are engaging and challenging activities that allow people to see the principles discussed in live action, and help non-verbal learners engage with the ideas discussed
  • Role-Plays and Case Studies: where appropriate, the content of the program will be animated through role-plays, personal experiences and debriefs that directly anchor the content to real world application
  • Collaboration & Networking: a chance to connect with other trainees across Alberta

Feedback from Previous Trainee Retreat Participants

“It was a great way to network with other trainees. The tasks and activities of the retreat made it really easy to converse with the other trainees about material other than our research projects (as what tends to happen at conferences). They pushed you out of your comfort zone but not so much as to make you feel totally exposed.”

Interesting insights into group dynamics, communication and leadership [and an] awesome way to get to know some other trainees.”

Facilitators

Elaine Broe, Banff Centre for Arts and Creativity

Kelly Wood, Banff Centre for Arts and Creativity

Questions

For information, please contact Renee Dumas at [email protected]

Introductory Workshop on Computational Methods in Neuroscience

Image courtesy of Matt Walton
2019 Workshop
June 9-18, 2019

Workshop Description

Purpose

Contemporary neurobiological experiments often generate complex data sets with many dependent variables collected continuously through time. Appropriate analysis tools are needed to uncover relationships among signals and allow for a better understanding of the underlying biological processes. This workshop aims to give students an introduction to the theory and practical application of computational methods for the analysis of neurobiological data. The workshop will be composed of lectures, hands-on use of key analysis methods in a computer lab, and a course project. Several data sets will be provided for students’ use. Instruction and exercises will use MATLAB, the most commonly used data analysis and visualization tool for quantitative sciences; however, no prior experience with this software is required. Each student will be asked to complete a project during the workshop. Students will have the option to bring their own data for use in the projects or use data provided by the instructors. The instructors and TAs will provide support at every phase of the project, including selecting an appropriate topic, deciding on analyses, programming, and visualization. Although the course will focus on signals from animal behaviour and electrophysiology, the methods taught in the course will be highly applicable to many other types of signals encountered in neurobiological research.

Format 

This ten-day workshop is comprised of lectures, hands-on use of key analysis methods in a computer lab, and a course project.

General Topics
  • Introduction to MATLAB
  • Data visualization
  • Overview of analysis methods for neurobiological signals
  • Fundamental concepts in signal processing
  • Working with discrete data (action potentials, behavioural events, etc.)
  • Methods for working with multiple simultaneous signals (e.g. EEG signals)
  • Analysis of imaging data
Instructors

David Euston, Aaron Gruber, Artur Luczak, Majid Mohajerani, Masami Tatsuno, Bruce McNaughton (Director of the Polaris Brain Dynamics research group).

Bios of the CCBN faculty members can be found at: www.uleth.ca/artsci/neuroscience/our-faculty

2019 Speakers:

  • Anna Koop
  • Joern Davidsen

Applications

Eligibility Criteria:
  • Preference will be given to Graduate level students (Masters or PhD) and Postdoctoral fellows registered full-time in a post-secondary institution working in neuroscience or a related discipline.
  • Undergraduate students registered full-time in a post-secondary institution working in neuroscience or a related discipline, involved in a research project and sponsored by an academic faculty member may apply.
  • No prior experience with any programming language is required. Students will learn to use the MATLAB computing environment.
  • Students can outline previous experience on the application. Previous experience will be taken into consideration during adjudication.
  • Students are expected to have familiarity with hypothesis testing and basic concepts of neuroscience (e.g. action potentials).
Application Process:

Registration is limited to 25 students. Priority is given to graduate students who meet the eligibility criteria and are registered in a Campus Alberta Neuroscience partner institution  (University of Alberta, University of Calgary, University of Lethbridge).

Applications are not currently being accepted.

To be considered for the workshop, applicants are required to submit:

  1. Online Application Form.
  2. Applicant curriculum vitae (in .pdf format)
  3. A Letter of Supervisor Support
    1. Instructions for Supervisors:Please be sure to specify how participation in this workshop will benefit the student’s project/program of study and the supervisor’s own program of research.
    2. Supervisors can either send their letters directly to Campus Alberta Neuroscience at [email protected] OR with the applicant curriculum vitae. In either case, the letter of support must be signed and in protected .pdf format.

Items 2 and 3 above must be submitted via email to Campus Alberta Neuroscience at [email protected] by the application deadline with the following subject line:

Computational Methods Workshop Application Supporting Documents – [LAST NAME, FIRST NAME]

Please note that all application components – including the Online Application Form, applicant CV, and Letter of Supervisor Support – must be received by the application deadline (TBA). Failure to receive all components of the application will result in your application being marked as ‘incomplete’ and will not be considered by the reviewers.

Cost

University of Lethbridge Students: $150

University of Alberta & University of Calgary Students: $395

Meals and accommodations will be provided for the duration of the workshop to Alberta students based outside of Lethbridge.

NO FEES ARE DUE AT THE TIME OF APPLICATION. If you are invited to attend the workshop, more information will be provided to you on how to pay your registration fee.

Students from outside of Alberta and those from Alberta who are not registered full-time in a partnered institution will be required to cover all costs associated with the course, including tuition, travel, meals and accommodation.

Application Adjudication

The Computational Neuroscience Committee will review and rank all complete applications. *Applications will be evaluated on merit and on the following criteria:

  • Preference to graduate students working in neuroscience or related discipline
  • Preference to Alberta-based students studying at a CAN partner institution (University of Alberta, Calgary or Lethbridge)
  • Quality of student’s CV
  • Benefit to student’s program of study/project
  • Contribution to Supervisor’s program of neuroscience research
Notice of Decision
  • Applicants will be notified of the Committee’s decision in writing by Campus Alberta Neuroscience
  • Students accepted into the workshop will be provided with a registration package in advance. The package will include additional details on the workshop content, course credit and fees, travel, meals and accommodation.

This year’s Workshop will be followed by an optional online Matlab course that will allow students to further advance their Matlab skills. Registration will occur via the Western Deans’ Agreement. For more information on this opportunity, please contact Artur Luczak ([email protected])

Questions

If you are interested in applying to a future Introductory Workshop in Computational Methods in Neuroscience and require further information, please contact Renee Dumas.

Previous Workshop Participants

2014 Workshop
2015 Workshop
2016 Workshop
2016 Online Workshop Extension
2017 Workshop

Advanced Workshop on Computational Methods in Neuroscience

Coming Soon

Workshop Description

Campus Alberta Neuroscience is currently developing an Advanced Computational Neuroscience workshop that will allow participants to further advance their Matlab skills. This course will expand the participants’ computational neuroscience learning and provide additional hands-on practical experience with computational methods.