## 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:

2nd part of the lecture. This lecture will discuss how understanding and applying simple neuroanatomical rules, one can localize the damage along the neuroaxis, the first crucial step toward making the correct clinical diagnosis and initiating treatment.

Difficulty level: Beginner
Duration: : 42:35
Speaker: : Eitan Auriel
Course Name: : Brain medicine for non-specialists
Lesson title:

The ionic basis of the action potential, including the Hodgkin Huxley model.

Difficulty level: Beginner
Duration: : 28:29
Speaker: : Carl Petersen
Course Name: : Computational neuroscience: the basics

Introduction to the course Cellular Mechanisms of Brain Function.

Difficulty level: Beginner
Duration: : 12:20
Speaker: : Carl Petersen
Course Name: : Biophysical models
Lesson title:

The ionic basis of the action potential, including the Hodgkin Huxley model.

Difficulty level: Beginner
Duration: : 28:29
Speaker: : Carl Petersen
Course Name: : Introduction to computational neuroscience

Introduction to the course Cellular Mechanisms of Brain Function.

Difficulty level: Beginner
Duration: : 12:20
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

The composition of the cell membrane.

Difficulty level: Beginner
Duration: : 14:46
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

Spatiotemporal dynamics of the membrane potential.

Difficulty level: Beginner
Duration: : 19:14
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

Action potential initiation and propagation.

Difficulty level: Beginner
Duration: : 09:13
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

Synaptic transmission and neurotransmitters

Difficulty level: Beginner
Duration: : 28:22
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

Neurotransmitter release in the presynaptic specialization.

Difficulty level: Beginner
Duration: : 21:36
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

Presynaptic short-term dynamics and plasticity.

Difficulty level: Beginner
Duration: : 20:26
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function