Date: Saturday, May 12th, 2018
Location: Center for Brain Health – University of British Columbia
Majid Mohajerani, Artur Luczak and Timothy Murphy
Description: Given the exponentially growing size and complexity of experimental data, advanced data analyses methods are proving to be indispensable for neuroscience research. In this workshop we will overview different analysis methods used in variety of neuroscience fields to help to understand complex brain signals.
The target audience of the workshop will be graduate students, postdoctoral researchers and principal investigators in neuroscience and psychology with interest in data analysis. The course will combine lectures and hands-on tutorials using MATLAB. Participants will perform the computer exercises using data sets and analysis software on their own laptop computers.
Scope: This one-day course will provide a survey of diverse topics, including methods for analyzing single and multiple spike trains, local field potential, EEG/MEG recordings, and fMRI data.
Estimated attendance: 30-50 participants.
Ticket price: 50 CAD
Saturday May 12, 2018 UBC CBH
- Opening remarks
- Analyses of neurons population data (Artur Luczak, University of Lethbridge)
- Place fields and head direction cells analyses (Adrien Peyrache, McGill University)
- Analyses of EEG signals (Kyle E. Mathewson, University of Alberta)
- Multivariate analyses (Mark Reimers, Michigan State University)
- Graph theory (TBD)
- Deep Learning for neuronal and behavioral data analyses (TBD)
- Analysis of functional magnetic resonance imaging data: principles and techniques (TBD)
- Use of ‘virtual brain’ for modeling and simulation (TBD).
- Open discussion about data analysis methods (all instructors and students)
Saturday May 12th UBC Platform datablitz 6-9 PM, for platform members only
Registration information will be available shortly.