Events
We host workshops, seminar series, training and outreach events, bringing together researchers, clinicians, and the broader 大象传媒 community.
Check out our upcoming events below, and to receive announcements of future events. These include outreach activities for Brain Awareness Week, workshops and our seminar series.
Social Event: Trainee Welcome
Join us for our first INN Trainee Welcome event for an opportunity to meet INN staff and fellow trainees! Refreshments will be provided.
Date/Time: Friday October 17th, 2-4pm PDT
Location: Burnaby Campus, INN-SCK space, K9601
RSVP by emailing INN's Social Coordinator, Taha Yildirim (taha_yildirim@sfu.ca)
Neuroscience and Neurotechnology Seminar
Speaker: , Neurologist, Jim Pattison Outpatient Care and Surgery Centre, Fraser Health; Clinical Assistant Professor, Division of Neurology, Department Medicine, University of British Columbia
Title: From cognition to action in Parkinson鈥檚 disease and movement disorders
Abstract: Parkinson鈥檚 disease (PD) is the fastest growing neurological disorder. It is characterized by prominent movement symptoms and concurrent nonmotor symptoms like cognitive impairment are common, debilitating, and difficult to treat. Loss of dopaminergic neurons in the substantia nigra and associated dysfunction of cortico-basal ganglia-thalamocortical circuits are thought to underlie motor and cognitive symptoms. Dopamine replacement therapy is the foundation of PD treatment, but its effects fluctuate and vary from person to person. Functional neuroimaging, electrophysiology, and neuromodulation approaches can be used to study the neurophysiological mechanisms of PD and other movement disorders. This research aims to identify oscillatory biomarkers of symptoms and treatment effects, which will help refine existing therapies, and guide the development of medications, therapeutic technology, and neuromodulation.
Date/Time: Thursday October 30th @ 2:30pm PDT
In-person location: Burnaby Campus, Big Data Hub Presentation Studio, ASB 10900
Zoom link:
Research Training Workshop
Dimensionality Reduction with PCA, ICA, and SVD
From data cleaning to machine learning, dimensionality reduction is a common part of data analysis. In this workshop, attendees will be introduced to three common methods: principal component analysis (PCA), independent component analysis (ICA), and singular value decomposition (SVD). Attendees will learn how to run and interpret these analyses and when to use them. Code files will be available to workshop attendees following the workshop in R and Matlab. All are welcome.
Date/Time: Friday October 31st, 12-1:30pm PDT
In-person location: Burnaby Campus, INN-AQ conference room, AQ 3128
Zoom link:
Events Calendar
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