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Lesson title:

The probability of a hypothesis, given data.

Difficulty level: Beginner
Duration: : 7:57
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Why math is useful in data science.

Difficulty level: Beginner
Duration: : 1:35
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Why statistics are useful for data science.

Difficulty level: Beginner
Duration: : 4:01
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Statistics is exploring data.

Difficulty level: Beginner
Duration: : 2:23
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Graphical data exploration

Difficulty level: Beginner
Duration: : 8:01
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Numerical data exploration

Difficulty level: Beginner
Duration: : 5:05
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Simple description of statistical data.

Difficulty level: Beginner
Duration: : 10:16
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Basics of hypothesis testing.

Difficulty level: Beginner
Duration: : 06:04
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

In this lecture, the speaker demonstrates Neurokernel's module interfacing feature by using it to integrate independently developed models of olfactory and vision LPUs based upon experimentally obtained connectivity information.

Difficulty level: Intermediate
Duration: : 29:56
Speaker: : Aurel A. Lazar
Course Name: : Open collaboration in computational neuroscience
Lesson title:

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

Difficulty level: Beginner
Duration: :
Speaker: : Michel Dumontier
Course Name: : Data science and reproducibility
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