The Dynamic Brain Circuits cluster hosted Professors and trainees from UBC and abroad for an in-depth training program on quantitative analysis for many types of neuroscience data. The event was organized by Prof. Majid Mohajerani and Prof. Artur Leczak from the University of Lethbridge and Prof. Tim Murphy from UBC, and featured researchers from all over Canada presenting on analysis of electrophysiological recording, EEG data, fMRI, and deep learning approaches to all of the above methods.
Videos of the talks are available below for all those unable to attend or anyone who wants a refresher course. All the associated code is available below as well:
Course Introduction:
Analysis of Neural Population Data: Artur Luczak, University of Lethbridge
Find referenced code here: https://drive.google.com/open?id=13I-AfzRXA5h8HL1h8NvT29OwSb9VRDsK
Place Fields and head direction cells by Adrien Peyrache:
FInd referenced code here: https://drive.google.com/open?id=1rNNitFzaqVCIRqcmGflEWl9Q21tgJKFc
Analysis of EEG signals (Waveform Processing) by Kyle Mathewson:
Find referenced code here: https://drive.google.com/open?id=1YhOTI3xfIgXCdpVMxICFTzNg_6o5IbeX
Graph theory and measures of brain connectivity by Bratislav Misic:
Find referenced code here: https://drive.google.com/open?id=1QG90Ck5YU7bywzoDKfnGvnUIb3Wdvb-3
Multivariate Analyses by Mark Reimers:
Find referenced code here: https://drive.google.com/open?id=1ImQSGn4IPaO89o8VUuf0uv9UIaNzehxa
Deep learning methods for neuronal and behavioral data by Artur Luczak:
Find referenced code here: https://drive.google.com/open?id=1HaNK0OLJfRtW9lEUIb-km6MwGGAtdSsr
Task-State functional brain networks detectable with fMRI by Todd Woodward:
Find referenced code here: https://www.nitrc.org/frs/?group_id=203#