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This lesson gives a brief introduction to the course Neuroscience for Machine Learners (Neuro4ML). 

Difficulty level: Beginner
Duration: 1:25
Speaker: : Dan Goodman

This lesson briefly goes over the outline of the Neuroscience for Machine Learners course. 

Difficulty level: Intermediate
Duration: 3:05
Speaker: : Dan Goodman

This lesson covers the history of neuroscience and machine learning, and the story of how these two seemingly disparate fields are increasingly merging. 

Difficulty level: Beginner
Duration: 12:25
Speaker: : Dan Goodman

In this lesson, you will learn about the current challenges facing the integration of machine learning and neuroscience. 

Difficulty level: Beginner
Duration: 5:42
Speaker: : Dan Goodman

Following the previous lesson on neuronal structure, this lesson discusses neuronal function, particularly focusing on spike triggering and propogation. 

Difficulty level: Intermediate
Duration: 6:58
Speaker: : Marcus Ghosh

This lesson goes over the basic mechanisms of neural synapses, the space between neurons where signals may be transmitted. 

Difficulty level: Intermediate
Duration: 7:03
Speaker: : Marcus Ghosh

While the previous lesson in the Neuro4ML course dealt with the mechanisms involved in individual synapses, this lesson discusses how synapses and their neurons' firing patterns may change over time. 

Difficulty level: Intermediate
Duration: 4:48
Speaker: : Marcus Ghosh

This lesson introduces some practical exercises which accompany the Synapses and Networks portion of this Neuroscience for Machine Learners course. 

Difficulty level: Intermediate
Duration: 3:51
Speaker: : Dan Goodman

As the previous lesson of this course described how researchers acquire neural data, this lesson will discuss how to go about interpreting and analysing the data. 

Difficulty level: Intermediate
Duration: 9:24
Speaker: : Marcus Ghosh

In this lesson you will learn about the motivation behind manipulating neural activity, and what forms that may take in various experimental designs. 

Difficulty level: Intermediate
Duration: 8:42
Speaker: : Marcus Ghosh

In this lesson, you will learn about one particular aspect of decision making: reaction times. In other words, how long does it take to take a decision based on a stream of information arriving continuously over time?

Difficulty level: Intermediate
Duration: 6:01
Speaker: : Dan Goodman

In this lesson, you will hear about some of the open issues in the field of neuroscience, as well as a discussion about whether neuroscience works, and how can we know?

Difficulty level: Intermediate
Duration: 6:54
Speaker: : Marcus Ghosh

This lesson discusses a gripping neuroscientific question: why have neurons developed the discrete action potential, or spike, as a principle method of communication? 

Difficulty level: Intermediate
Duration: 9:34
Speaker: : Dan Goodman

This lesson covers the ionic basis of the action potential, including the Hodgkin-Huxley model. 

Difficulty level: Beginner
Duration: 28:29
Speaker: : Carl Petersen

This lesson provides an introduction to the myriad forms of cellular mechanisms whicn underpin healthy brain function and communication. 

Difficulty level: Beginner
Duration: 12:20
Speaker: : Carl Petersen

In this lesson you will learn about the ionic basis of the action potential, including the Hodgkin-Huxley model. 

Difficulty level: Beginner
Duration: 28:29
Speaker: : Carl Petersen

This lesson provides an introduction to the course Cellular Mechanisms of Brain Function.

Difficulty level: Beginner
Duration: 12:20
Speaker: : Carl Petersen

This lesson introduces the composition of the cell membrane.

Difficulty level: Beginner
Duration: 14:46
Speaker: : Carl Petersen

This lesson covers the spatiotemporal dynamics of the membrane potential.

Difficulty level: Beginner
Duration: 19:14
Speaker: : Carl Petersen

This lesson presents the typical setup, equipment, and solutions used in whole-cell recording of neurons. 

Difficulty level: Beginner
Duration: 09:13
Speaker: : Carl Petersen