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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
Course:

Maximize Your Research With Cloud Workspaces is a talk aimed at researchers who are looking for innovative ways to set up and execute their life science data analyses in a collaborative, extensible, open-source cloud environment. This panel discussion is brought to you by MetaCell and scientists from leading universities who share their experiences of advanced analysis and collaborative learning through the Cloud.

 

Difficulty level: Beginner
Duration: 55:43

This brief video provides an introduction to the third session of INCF's Neuroinformatics Assembly 2023, focusing on how to streamling cross-platform data integration in a neuroscientific context. 

Difficulty level: Beginner
Duration: 5:55
Speaker: : Bing-Xing Huo

This talk describes the challenges to sustained operability and success of consortia, why many of these groups flounder after just a few years, and what steps can be taken to mitigate such outcomes. 

Difficulty level: Beginner
Duration: 18:29
Speaker: : Maryann Martone

This talk discusses the BRAIN Initiative Cell Atlas Network (BICAN), taking a look specifically at how this network approaches the design, development, and maintenance of specimen and sequencing library portals. 

Difficulty level: Beginner
Duration: 15:08
Speaker: : GQ Zhang

In this talk, you will hear about the challenges and costs of being FAIR in the many scientific fields, as well as opportunities to transform the ecology of the academic crediting system. 

Difficulty level: Beginner
Duration: 14:56
Speaker: : Zefan Zheng