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Lesson title:

This lecture covers structured data, databases, federating neuroscience-relevant databases, ontologies. 

Difficulty level: Beginner
Duration: : 1:30:45
Speaker: : Maryann Martone
Course Name: : INCF Short course: Introduction to neuroinformatics
Lesson title:

This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases

Difficulty level: Beginner
Duration: : 1:02:29
Speaker: : Nir Giladi
Course Name: : Brain medicine for non-specialists
Lesson title:

How does the brain learn? This lecture discusses the roles of development and adult plasticity in shaping functional connectivity.

Difficulty level: Beginner
Duration: : 1:08:45
Speaker: : Clay Reid
Course Name: : Coding and Vision 101
Lesson title:

The mechanisms behind changes in synaptic function created by learning.

Difficulty level: Beginner
Duration: : 27:07
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

This lecture covers describing and characterizing an input-output relationship.

Difficulty level: Beginner
Duration: : 1:35:33
Course Name: : INCF Short course: Introduction to neuroinformatics
Lesson title:

This tutorial talks about how to upload and version your data in OpenNeuro.org

Difficulty level: Beginner
Duration: : 5:36
Speaker: : Unknown
Course Name: : OpenNeuro.org Tutorials
Lesson title:

This tutorial shows how to share your data in OpenNeuro.org

Difficulty level: Beginner
Duration: : 1:22
Speaker: : Unknown
Course Name: : OpenNeuro.org Tutorials
Lesson title:

This tutorial shows how to run analysis in OpenNeuro.org

Difficulty level: Beginner
Duration: : 2:26
Speaker: : Unknown
Course Name: : OpenNeuro.org Tutorials
Lesson title:

Inferring results from incomplete data

Difficulty level: Beginner
Duration: : 4:28
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Finding parameter values, confidence intervals.

Difficulty level: Beginner
Duration: : 08:04
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Methods for estimating parameters.

Difficulty level: Beginner
Duration: : 5:29
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Measuring the correspondece between data and model.

Difficulty level: Beginner
Duration: : 3:30
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

How to choose useful variables.

Difficulty level: Beginner
Duration: : 6:15
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Common problems in statistical modelling.

Difficulty level: Beginner
Duration: : 5:58
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Common problems in statistical modelling.

Difficulty level: Beginner
Duration: : 3:50
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

You don't have to be a wizard to do statistics!

Difficulty level: Beginner
Duration: : 3:18
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Overview of possible follow up courses and subjects from the same publisher.

Difficulty level: Beginner
Duration: : 1:43
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

This tutorial is part 1 of 2. It aims to provide viewers with an understanding of the fundamentals of R tool.

Difficulty level: Beginner
Duration: : 1:32:59
Speaker: : Edureka
Course Name: : R Programming Language
Lesson title:

This tutorial is part 2 of 2. It aims to provide viewers with an understanding of the fundamentals of R tool.

Difficulty level: Beginner
Duration: : 1:32:59
Speaker: : Edureka
Course Name: : R Programming Language