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The Krembil Centre for Neuroinformatics at CAMH || Looking for more? Email us at krembil.centre@camh.ca
The Krembil Centre for Neuroinformatics at CAMH was pleased to launch a new Speaker Series highlighting exciting discoveries, advancements and collaborations in Neuroinformatics.
The series features speakers from a wide range of backgrounds, expressing the diversity of the Krembil Centre’s scientific breadth. Each month we will hear a new perspective on the current state of multi-scale neuroscience, from gene to circuits, from brain dynamics to cognitive modeling and populations.
Read the full story.
Missed the talk? Watch the recording here!
All times listed in EST.
Upcoming Talks:
Mon, November 23, 2020 @ 1-2pm
Dr. Stephanie Jones, Brown University
Stephanie R. Jones, PhD is Associate Professor in Department of Neuroscience at Brown University. She received her doctorate in mathematics from Boston University, followed by training in neuroscience and human magneto- and electro-encephalography (MEG/EEG) at Massachusetts General Hospital. Her research program integrates these disciplines to develop biophysically principled computational neural models that bridge the critical gap between human MEG/EEG brain imaging signals and their underlying cellular and network level generators. She collaborates extensively with animal neurophysiologists, cognitive neuroscientists, and clinicians to develop data constrained models that are translationally relevant. Her group has recently developed their unique neural modeling into a user-friendly software tool for researchers and clinicians to interpret the circuit origin of their human MEG/EEG data: Human Neocortical Neurosolver.
Dr. Jones’s group has expanded their interdisciplinary program to the field of non-invasive brain stimulation. A primary goal is to translate an understanding of the network mechanism underlying non-invasively measured brain signals into brain stimulation strategies to improve disrupt brain function.
Topic: Biophysically Principled Neural Modeling of EEG to Guide Interpretation and Design of Non-Invasive Brain Stimulation.
Event link: https://camh.webex.com/camh/onstage/g.php?MTID=ea73fb828da506965fd33ce5f72ae50da
Event ID: 171 221 1622
Event Password: KCNISS1123
Call in (Toronto): +1-647-484-1598
Access ID: 171 221 1622
Weds, December 16, 2020 @ 1-2pm
Dr. Frances Skinner, Krembil Research Institute
Dr. Frances Skinner is a Senior Scientist at the Krembil Research Institute and a Professor at the University of Toronto. She graduated from the University of Waterloo (B.Math.) and Toronto (M.A.Sc., Ph.D.) and did 4 years of postdoctoral work in Boston and California before returning to Toronto. The essence of her research program involves: (i) establishing intimate links with experimental studies to allow mathematical models with a neurological and pathophysiological functional basis to be developed, and (ii) simulating and analyzing developed mathematical models to enable insights and predictions to emerge. She enjoys collaborative work and her lab focus is in determining cellular-based mechanisms underlying the dynamic output of neuronal networks in normal and pathological states. She is particularly interested in advancing our understanding by creating win-win scenarios with the plethora of data and theoretical and experimental approaches available today.
Topic: TBD
Webex details TBD
Organized by KCNI's Program Manager, Cindy Khuu, Administrator, Jessica Jue, and Post-Doctoral Fellow, Frank Mazza.
Past Speakers:
Watch the recordings here
October 27, 2020
Dr. Philip De Jager, Columbia University
Dr. Philip L. De Jager is the Weil-Granat Professor of neurology (in the Taub Institute for Research on Alzheimer's disease and the Aging Brain and the Columbia Precision Medicine Initiative) at Columbia University Irving Medical Center. He serves as chief of the Department of Neurology's Division of Neuroimmunology, which focuses on characterizing, targeting and treating neuroinflammatory diseases and the neuroimmunologic component of neurodegenerative diseases. He integrates rigorous statistical methodology with high-dimensional data from the brain and cerebrospinal fluid to pursue translational questions in a team-based manner and enhance the delivery of care to patients.
Topic: Cell population structure of the aging brain: towards a high-resolution perspective of human neurodegeneration.
September 25, 2020
Dr. John Murray, Yale University
Dr. John D. Murray is an Assistant Professor in the Department of Psychiatry at Yale University. His lab leverages computational modeling with focus on investigating the dynamics and function of neural circuits. Furthermore, his compuational lab leverage computational neuroscience insights from models to advance the study of disorders such as schizophrenia, in a framework for Computational Psychiatry.
Topic: Large-scale gradients across human cortex: computational modeling, neuroimaging, and transcriptomics.
August 25, 2020
Dr. Justin Baker, McLean Institute for Technology in Psychiatry, Harvard University
Dr. Justin T. Baker is the scientific director of the McLean Institute for Technology in Psychiatry (ITP) and director of the Laboratory for Functional Neuroimaging and Bioinformatics at McLean Hospital. He is also an assistant professor of psychiatry at Harvard Medical School. Dr. Baker’s research uses both large-scale studies and deep, multilevel phenotyping approaches to understand the nature and underlying biology of mental illnesses.
Topic: Sensing Psychosis: Toward Computational Phenotypes in Severe Mental Illness.
July 24, 2020
Dr. Gaute Einevoll, University of Oslo
Dr. Gaute Einevoll is a professor of physics at the Norwegian University of Life Sciences and the University of Oslo working on computational neuroscience/ brain physics. His main interest is physics-type modelling of nerve cells, networks of nerve cells, and brain signals in health and disease. He is participating in the large-scale EU Human Brain Project.
Topic: Towards multipurpose biophysics-based mathematical models of cortical circuits
June 18, 2020 (Inaugural Talk)
Dr. Sean Hill, Krembil Centre for Neuroinformatics, CAMH
Dr. Sean Hill is the Director of the Krembil Centre for Neuroinformatics (KCNI), Senior Scientist at the Centre for Addiction and Mental Health, and Professor at the University of Toronto. Dr. Hill applies large-scale data integration, neuroinformatics, multiscale brain modeling and machine learning to improve our understanding and treatment of mental health disorders.
Topic: A multiscale perspective on brain health: from genes to behaviour and populations
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