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Lesson type

Lesson 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
Course Name: : INCF Short course: Introduction to neuroinformatics
Lesson title:

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

Difficulty level: Beginner
Duration: : 2:53
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Primer on elementary algebra

Difficulty level: Beginner
Duration: : 3:03
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Primer on linear algebra

Difficulty level: Beginner
Duration: : 5:38
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Primer on systems of linear equations

Difficulty level: Beginner
Duration: : 5:24
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Primer on calculus

Difficulty level: Beginner
Duration: : 4:17
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

How calculus relates to optimization

Difficulty level: Beginner
Duration: : 8:43
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Big O notation

Difficulty level: Beginner
Duration: : 5:19
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Basics of probability.

Difficulty level: Beginner
Duration: : 7:33
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
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:

Part 1 of 2 of a tutorial on statistical models for neural data

Difficulty level: Beginner
Duration: : 1:45:48
Speaker: : Jonathan Pillow
Course Name: : Statistical models
Lesson title:

Part 2 of 2 of a tutorial on statistical models for neural data.

Difficulty level: Beginner
Duration: : 1:50:31
Speaker: : Jonathan Pillow
Course Name: : Statistical models
Lesson title:

Introduction to stability analysis of neural models

Difficulty level: Intermediate
Duration: : 1:26:06
Speaker: : Bard Ermentrout
Course Name: : Dynamical neural systems
Lesson title:

Introduction to stability analysis of neural models

Difficulty level: Intermediate
Duration: : 1:25:38
Speaker: : Bard Ermentrout
Course Name: : Dynamical neural systems
Lesson title:

Oscillations and bursting

Difficulty level: Intermediate
Duration: : 1:24:30
Speaker: : Bard Ermentrout
Course Name: : Dynamical neural systems
Lesson title:

Oscillations and bursting

Difficulty level: Intermediate
Duration: : 1:31:57
Speaker: : Bard Ermentrout
Course Name: : Dynamical neural systems
Lesson title:

Weakly coupled oscillators

Difficulty level: Intermediate
Duration: : 1:26:02
Speaker: : Bard Ermentrout
Course Name: : Dynamical neural systems
Lesson title:

Continuation of coupled oscillators

Difficulty level: Intermediate
Duration: : 1:24:44
Speaker: : Bard Ermentrout
Course Name: : Dynamical neural systems
Lesson title:

Firing rate models.

Difficulty level: Intermediate
Duration: : 1:26:42
Speaker: : Bard Ermentrout
Course Name: : Dynamical neural systems
Lesson title:

Pattern generation in visual system hallucinations.

Difficulty level: Intermediate
Duration: : 1:20:42
Speaker: : Bard Ermentrout
Course Name: : Dynamical neural systems