Online workshops – Centre for Applied Mathematics in Bioscience and Medicine

[anmar.khadra]

The Centre for Applied Mathematics in Bioscience and Medicine – CAMBAM (http://www.crm.umontreal.ca/labo/cambam/en/) is organizing the following three online workshops:

<span style=”text-decoration: underline;”>Workshop 1</span>

Title: Exploring Single Neuron Excitability with Mathematical and Computational Models

Organizers: Niklas Brake and Nils Koch.

Date: June 16, 2023.

Description: Understanding the principles of neuronal excitability is fundamental for comprehending how neurons communicate with each other and perform computations. Computational models of neuronal excitability provide powerful tools to investigate the mechanisms underlying the generation and propagation of electrical signals in neurons. The Izhikevich model is a versatile model for studying neuronal excitability, which has been used in numerous studies to model a wide range of firing phenotypes. This workshop aims to provide participants with an understanding of the principles of computational modeling of neuronal excitability by focusing on the Izhikevich model as a case study. Through a hands-on approach, the workshop will guide participants through fitting the Izhikevich model to the qualitative firing features of neurons obtained from openly accessible data from the Allen Institute.

Registration: Please register by June 12 using the online form: https://forms.office.com/r/3Hi9Q5G6qg.

 

<span style=”text-decoration: underline;”>Workshop 2</span>

Title: From Genome to Phenome: A Comprehensive Workshop on Genome-Wide Scans and Cutting-Edge Post-GWAS Techniques

Organizers: Sahel Jahangiri Esfahani and Goodarz Koli Farhood.

Date: June 27 & 28, 2023.

Description: This workshop will provide an introduction to Genome-Wide Association Studies (GWAS) and advanced post-GWAS analysis techniques for identifying genetic variants associated with complex diseases or traits. The workshop will begin with a brief overview of GWAS methodology, including study design, quality control, data management, and statistical analysis. Participants will then learn how to use a machine learning tool (Regenie) to perform GWAS analysis, which accounts for population stratification, relatedness, and case-control imbalance to address potential biases in the detection of genetic associations. The workshop will cover the use of the FUMA platform for Functional Mapping and Annotation of Genome-Wide Association Studies. This tool integrates GWAS summary statistics with functional genomic data from a range of resources to identify functional genomic annotations indexed by GWAS signals. It also prioritizes candidate genes for further functional validation. Next, the workshop will introduce the MAGMA gene-based analysis tool, which identifies genes that are enriched with genetic variants associated with a particular phenotype. MAGMA calculates gene-level p-values based on the association of a phenotype with genetic variants in and around each gene, accounting for gene size, LD structure, and SNP annotation.

Registration: Please register by June 20 using this online form: https://docs.google.com/forms/d/e/1FAIpQLSdgRi0L82LLvAoB6hynGglsduhB1nqTzT-WkSEXNmsWdWhl8w/viewform.

 

<span style=”text-decoration: underline;”>Workshop 3</span>

Title: Machine Learning Applications in Computational Neuroscience and Biology

Organizers: Amin Akhshi.

Date: June 28, 2023.

Description: The increasing availability of large neural datasets in recent years has necessitated the development of advanced data analysis methods. Machine learning (ML) models have shown great promise in this regard, providing powerful tools for understanding complex neural systems. This workshop aims to provide an introduction to machine learning techniques and their applications in computational neuroscience and biology. We will cover the basics of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning, and explore their applications in neuroscience, such as neural decoding, brain-computer interfaces, and data-driven modeling.

Registration: Please register by June 20 using the online form https://forms.office.com/r/d7Y3RYgZtJ.

 

Detailed description of these online workshops can be found on the CAMBAM website.

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