Lecture title:

This lecture covers modeling the neuron in silicon, modeling vision and audition and sensory fusion using a deep network.

Difficulty level: Beginner

Duration: 1:32:17

Speaker: : Shih-Chii Liu

Lecture title:

Presentation of a simulation software for spatial model neurons and their networks designed primarily for GPUs.

Difficulty level: Beginner

Duration: 21:15

Speaker: : Tadashi Yamazaki

Lecture title:

Presentation of past and present neurocomputing approaches and hybrid analog/digital circuits that directly emulate the properties of neurons and synapses.

Difficulty level: Beginner

Duration: 41:57

Speaker: : Giacomo Indiveri

Lecture title:

Presentation of the Brian neural simulator, where models are defined directly by their mathematical equations and code is automatically generated for each specific target.

Difficulty level: Beginner

Duration: 20:39

Speaker: : Giacomo Indiveri

Lecture title:

The lecture covers a brief introduction to neuromorphic engineering, some of the neuromorphic networks that the speaker has developed, and their potential applications, particularly in machine learning.

Difficulty level: Intermediate

Duration: 19:57

Speaker: : Runchun Mark Wang

Lecture title:

Course:

Introduction to the Mathematics chapter of Datalabcc's "Foundations in Data Science" series.

Difficulty level: Beginner

Duration: 2:53

Speaker: : Barton Poulson

Lecture title:

Course:

Primer on elementary algebra

Difficulty level: Beginner

Duration: 3:03

Speaker: : Barton Poulson

Lecture title:

Course:

Primer on linear algebra

Difficulty level: Beginner

Duration: 5:38

Speaker: : Barton Poulson

Lecture title:

Course:

Primer on systems of linear equations

Difficulty level: Beginner

Duration: 5:24

Speaker: : Barton Poulson

Lecture title:

Course:

Primer on calculus

Difficulty level: Beginner

Duration: 4:17

Speaker: : Barton Poulson

Lecture title:

Course:

How calculus relates to optimization

Difficulty level: Beginner

Duration: 8:43

Speaker: : Barton Poulson

Lecture title:

Course:

Big O notation

Difficulty level: Beginner

Duration: 5:19

Speaker: : Barton Poulson

Lecture title:

Course:

Basics of probability.

Difficulty level: Beginner

Duration: 7:33

Speaker: : Barton Poulson

Lecture title:

A basic introduction to clinical presentation of schizophrenia, its etiology, and current treatment options.

Difficulty level: Beginner

Duration: 51:49

Speaker: : Wolfgang Fleischhacker

Lecture 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

Speaker: : Christine Bandtlow

Lecture title:

This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.

Difficulty level: Beginner

Duration: 1:23:01

Speaker: : Gaute Einevoll

Lecture title:

This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.

Difficulty level: Beginner

Duration: 1:23:01

Speaker: : Gaute Einevoll

Lecture title:

Course:

This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.

Difficulty level: Beginner

Duration: 1:23:01

Speaker: : Gaute Einevoll

Lecture title:

This lecture describes non-spiking simple neuron models used in artificial neural networks and machine learning.

Difficulty level: Beginner

Duration: 8:23

Speaker: : Geoffrey Hinton

Lecture title:

Difficulty level: Beginner

Duration: 1:23:01

Speaker: : Gaute Einevoll