## Lesson type

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

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

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

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