Skip to main content

This talk introduces Bayes' theorem, which describes the probability of an event, based on prior knowledge of conditions that might be related to the event.

Difficulty level: Beginner
Duration: 7:57
Speaker: : Barton Poulson

This lesson recaps why math, in a number of ways, is extremely useful in data science.

Difficulty level: Beginner
Duration: 1:35
Speaker: : Barton Poulson

This lesson provides an introduction to the lessons in this course that deal with statistics and why they are useful for data science.

Difficulty level: Beginner
Duration: 4:01
Speaker: : Barton Poulson

In this lesson, users will learn about the importance of exploratory analysis, as well as how statistics enables one to become familiar with and understand one's data. 

Difficulty level: Beginner
Duration: 2:23
Speaker: : Barton Poulson

This lesson goes over graphical data exploration, including motivations for its use as well as practical examples of visualizing data distributions. 

Difficulty level: Beginner
Duration: 8:01
Speaker: : Barton Poulson

In this lesson, users learn about exploratory statistics, and are introduced to various methods for numerical data exploration.

Difficulty level: Beginner
Duration: 5:05
Speaker: : Barton Poulson

This lesson overview some simple descriptions of statistical data.

Difficulty level: Beginner
Duration: 10:16
Speaker: : Barton Poulson

This lesson covers the basics of hypothesis testing.

Difficulty level: Beginner
Duration: 6:04
Speaker: : Barton Poulson

This lesson describes the Neuroscience Gateway , which facilitates access and use of National Science Foundation High Performance Computing resources by neuroscientists.

Difficulty level: Beginner
Duration: 39:27
Speaker: : Subha Sivagnanam

This lesson gives an introduction to high-performance computing with the Compute Canada network, first providing an overview of use cases for HPC and then a hands-on tutorial. Though some examples might seem specific to the Calcul Québec, all computing clusters in the Compute Canada network share the same software modules and environments.

Difficulty level: Beginner
Duration: 02:49:34

This lesson provides a short overview of the main features of the Canadian Open Neuroscience Platform (CONP) Portal, a web interface that facilitates open science for the neuroscience community by simplifying global access to and sharing of datasets and tools. The Portal internalizes the typical cycle of a research project, beginning with data acquisition, followed by data processing with published tools, and ultimately the publication of results with a link to the original dataset.

Difficulty level: Beginner
Duration: 14:03

This talk presents an overview of CBRAIN, a web-based platform that allows neuroscientists to perform computationally intensive data analyses by connecting them to high-performance computing facilities across Canada and around the world.

Difficulty level: Beginner
Duration: 56:07
Speaker: : Shawn Brown
Course:

This lecture covers modeling the neuron in silicon, modeling vision and audition, and sensory fusion using a deep network. 

Difficulty level: Beginner
Duration: 1:32:17
Speaker: : Shih-Chii Liu

This lesson gives an overview of past and present neurocomputing approaches and hybrid analog/digital circuits that directly emulate the properties of neurons and synapses.

Difficulty level: Beginner
Duration: 41:57
Speaker: : Giacomo Indiveri

Presentation of the Brian neural simulator, where models are defined directly by their mathematical equations and code is automatically generated for each specific target.

Difficulty level: Beginner
Duration: 20:39
Speaker: : Giacomo Indiveri

In this lesson, while learning about the need for increased large-scale collaborative science that is transparent in nature, users also are given a tutorial on using Synapse for facilitating reusable and reproducible research. 

Difficulty level: Beginner
Duration: 1:15:12
Speaker: : Abhi Pratap

This lesson contains the first part of the lecture Data Science and Reproducibility. You will learn about the development of data science and what the term currently encompasses, as well as how neuroscience and data science intersect. 

Difficulty level: Beginner
Duration: 32:18
Speaker: : Ariel Rokem

In this second part of the lecture Data Science and Reproducibility, you will learn how to apply the awareness of the intersection between neuroscience and data science (discussed in part one) to an understanding of the current reproducibility crisis in biomedical science and neuroscience. 

Difficulty level: Beginner
Duration: 31:31
Speaker: : Ashley Juavinett

The lecture provides an overview of the core skills and practical solutions required to practice reproducible research.

Difficulty level: Beginner
Duration: 1:25:17
Speaker: : Fernando Perez

This lecture provides an introduction to reproducibility issues within the fields of neuroimaging and fMRI, as well as an overview of tools and resources being developed to alleviate the problem.

Difficulty level: Beginner
Duration: 1:03:07
Speaker: : Russell Poldrack