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

This lecture provides an overview of depression (epidemiology and course of the disorder), clinical presentation, somatic co-morbidity, and treatment options.

Difficulty level: Beginner
Duration: : 37:51
Course Name: : Brain medicine for non-specialists

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:

What is the difference between attention and consciousness? This lecture describes the scientific meaning of consciousness, journeys on the search for neural correlates of visual consciousness, and explores the possibility of consciousness in other beings and even non-biological structures.

Difficulty level: Beginner
Duration: : 1:10:01
Speaker: : Christof Koch
Course Name: : Coding and Vision 101
Lesson title:

Introduction to the types of glial cells, homeostasis (influence of cerebral blood flow and influence on neurons), insulation and protection of axons (myelin sheath; nodes of Ranvier), microglia and reactions of the CNS to injury.

Difficulty level: Beginner
Duration: : 40:32
Course Name: : Introduction to neurobiology 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