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Krembil Centre for Neuroinformatics Summer School

Solving Problems in Mental Health using Multi-Scale Computational Neuroscience

JULY 5-9th, 12-14th, 2021.

Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health


Please register at: HTTPS://APP.CERTAIN.COM/PROFILE/3248659


  • The full schedule:

    • Day 1: Welcome! Understanding clinical research questions and reproducible science (July 5, 2021)

    • Day 2: Applied ethics in machine learning and mental health (July 6, 2021)

    • Day 3: Fundamental methods for genomic and single-cell transcriptome analysis (July 7, 2021)

    • Day 4: Simulating Brain Microcircuit Activity and Signals in Mental Health (July 8, 2021)

    • Day 5: Whole-brain modelling and neuroimaging connectomics (July 9, 2021)

    • Day 6: Bayesian models of learning and integration of neuroimaging data (July 12, 2021)

    • Day 7: Digital health and population-based data resources (July 13, 2021)

    • Day 8:  Integrative research methods and Final Panel Discussion (July 14, 2021)

#Day 1: Welcome! Understanding clinical research questions and reproducible science (July 5, 2021)

Instructors: Erin Dickie, Sean Hill, Victor Tang, Brett Jones
TA's: Sejal Patel, Kevin Kadak, Taha Morshedzadeh, Kevin Witczak
Time (EST)
Session

9:00-10:30
Lecture 1: Welcome and Orientation
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10:45-12:15
Lecture 2:  Problems and opportunities in the diagnosis and treatment of major depression
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1:00-2:30pm
Workshop 1: Guiding principles for FAIR and open science
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2:45-4:15pm
Workshop 2: Tools for Reproducible Science
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#Day 2: Applied ethics in machine learning and mental health (July 6, 2021)

Instructors: Daniel Buchman, Marta Maslej & Laura Sikstrom
Time (EST)
Session

9:00-10:30
Lecture 1: Introduction to AI Ethics
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10:45-12:15
Lecture 2:  Fairness and Health Equity
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1:00-2:30pm
Workshop 1: Research Design, Data Collection, Model Construction and Validation
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2:45-4:15pm
Workshop 2: Analysis, Interpretation and Knowledge Exchange and/or Translation
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Day 3: Fundamental methods for genomic and single-cell transcriptome analysis (July 7, 2021)

Instructors:  Shreejoy Tripathy & Dan Felsky
TA's: Sonny Chen, Micaela Consens, Amin Kharaghani, Keon Arbabi
Time (EST)
Session

9:00-10:30
Lecture 1: Basics of Genotype, Central dogma, GWAS, and Polygenic Risk Scores
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10:45-12:15
Lecture 2:  Transcriptomics at the single-cell and bulk level level
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1:00-2:30pm
Workshop 1: Intro to transcriptomic data types, including single-cell and bulk RNAseq
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2:45-4:15pm
Workshop 2: Explore cellular changes in major depression using bulk and single-cell RNAseq data
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Day 4: Simulating Brain Microcircuit Activity and Signals in Mental Health (July 8, 2021)

Instructors: Etay Hay & Frank Mazza
TA's TBA
Time (EST)
Session

9:00-10:30
Lecture 1: Simulating brain microcircuit activity in mental health
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10:45-12:15
Lecture 2: Simulating EEG from brain microcircuits in mental health
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1:00-2:15pm
Workshop 1: Simulating and analyzing spiking from neurons and microcircuits
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2:30-4:00pm
Workshop 2: Simulating and analyzing EEG signals from brain microcircuits
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Day 5: Whole-Brain Modelling and Neuroimaging Connectomics (July 9, 2021)

Instructors: Erin Dickie & John Griffiths
TA's Shreyas Harita, Jerrold Jeyachandra, Kevin Kadak
Time (EST)
Session

9:00-10:30
Lecture 1: Introduction to neuroimaging connectomics
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10:45-12:15
Workshop 1: Calculating Neuroimaging Connectomes
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1:00-2:30pm
Lecture 2: Intro to whole-brain modelling (Lecture)
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2:45-4:15pm
Workshop 2: simulating whole-brain activity, EEG, evoked responses, brain stimulation
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Day 6: Bayesian Models of Learning and Integration of Neuroimaging Data (July 12, 2021)

Instructors: Andreea Diaconescu
TA's: Colleen Charlton, Daniel Hauke, Peter Bedford, Povilas Karvelis
Time (EST)
Session

9:00-10:30
Lecture 1: Bayesian Models of Learning
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10:45-12:15
Turorial 1:  Hierarchical Gaussian Filter and Simulating Learners
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1:00-2:30pm
Lecture 2: Computational Modelling of EEG Data
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2:45-4:15pm
Tutorial 2: Single-trial EEG Modelling
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Day 7: Digital Health and Population-Based Data Resources (July 13, 2021)

Instructors: Daniel Felsky, Abhi Pratap & Joanna Yu
TA's: Marta Maslej, Akshay Mohan, Grace Jacobs


Time (EST)
Session

9:00-10:30
Lecture 1: Digital Health for Mental health
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10:45-12:15
Lecture 2: Population-based resources and the BrainHealth Databank
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1:00-2:30pm
Workshop 1: accessing reproducible datasets from Synapse as part of integrated workflow
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2:45-4:15pm
Workshop 2: Introduction to interactive methods
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Day 8:  Integrative research methods and Final Panel Discussion (July 14, 2021)

Instructors: Daniel Felsky & Abhi Pratap + All Instructor Panel
TA's: Mohamed Abdelhack, Marta Maslej
Time (EST)
Session

9:00-10:30
Lecture 1: Types of integrative research and Whole Person Modelling
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10:45-12:15
Workshop: SNF / Subtyping
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1:00-2:30pm
Group Panel Discussion
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2:45-4:15pm
Final Social Hour
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2020 Summer School Overview
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