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Lecture title:

Lecture on the most important concepts in software engineering

Difficulty level: Beginner
Duration: 32:59
Speaker: : Jeff Muller
Lecture title:

This lecture covers an introduction to neuroinformatics and its subfields, the content of the short course and future neuroinformatics applications.

Difficulty level: Beginner
Duration: 34:27
Lecture title:

Introduction to the Mathematics chapter of Datalabcc's "Foundations in Data Science" series.

Difficulty level: Beginner
Duration: 2:53
Speaker: : Barton Poulson
Lecture title:

Primer on elementary algebra

Difficulty level: Beginner
Duration: 3:03
Speaker: : Barton Poulson
Lecture title:

Primer on linear algebra

Difficulty level: Beginner
Duration: 5:38
Speaker: : Barton Poulson
Lecture title:

Primer on systems of linear equations

Difficulty level: Beginner
Duration: 5:24
Speaker: : Barton Poulson
Lecture title:

Primer on calculus

Difficulty level: Beginner
Duration: 4:17
Speaker: : Barton Poulson
Lecture title:

How calculus relates to optimization

Difficulty level: Beginner
Duration: 8:43
Speaker: : Barton Poulson
Lecture title:

Big O notation

Difficulty level: Beginner
Duration: 5:19
Speaker: : Barton Poulson
Lecture title:

Basics of probability.

Difficulty level: Beginner
Duration: 7:33
Speaker: : Barton Poulson
Lecture title:

The "connectome" is a term, coined in the past decade, that has been used to describe more than one phenomenon in neuroscience. This lecture explains the basics of structural connections at the micro-, meso- and macroscopic scales.

Difficulty level: Beginner
Duration: 1:13:16
Speaker: : Clay Reid
Lecture title:

An overview of some of the essential concepts in neuropharmacology (e.g. receptor binding, agonism, antagonism), an introduction to pharmacodynamics and pharmacokinetics, and an overview of the drug discovery process relative to diseases of the Central Nervous System.

Difficulty level: Beginner
Duration: 45:47
Lecture title:

This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.

Difficulty level: Beginner
Duration: 1:23:01
Speaker: : Gaute Einevoll
Lecture title:

This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.

Difficulty level: Beginner
Duration: 1:23:01
Speaker: : Gaute Einevoll
Lecture title:

This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.

Difficulty level: Beginner
Duration: 1:23:01
Speaker: : Gaute Einevoll
Lecture title:

This lecture describes non-spiking simple neuron models used in artificial neural networks and machine learning.

Difficulty level: Beginner
Duration: 8:23
Speaker: : Geoffrey Hinton
Lecture title:

This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.

Difficulty level: Beginner
Duration: 1:23:01
Speaker: : Gaute Einevoll
Lecture title:

This lecture describes non-spiking simple neuron models used in artificial neural networks and machine learning.

Difficulty level: Beginner
Duration: 8:23
Speaker: : Geoffrey Hinton
Lecture title:

Introductory presentation on how data science can help with scientific reproducibility.

Difficulty level: Beginner
Duration:
Speaker: : Michel Dumontier