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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
Lecture title:

This lecture covers structured data, databases, federating neuroscience-relevant databases, ontologies. 

Difficulty level: Beginner
Duration: 1:30:45
Speaker: : Maryann Martone
Lecture title:

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

Difficulty level: Beginner
Duration: 2:53
Speaker: : Barton Poulson
Lecture title:

Primer on elementary algebra

Difficulty level: Beginner
Duration: 3:03
Speaker: : Barton Poulson
Lecture title:

Primer on linear algebra

Difficulty level: Beginner
Duration: 5:38
Speaker: : Barton Poulson
Lecture title:

Primer on systems of linear equations

Difficulty level: Beginner
Duration: 5:24
Speaker: : Barton Poulson
Lecture title:

Primer on calculus

Difficulty level: Beginner
Duration: 4:17
Speaker: : Barton Poulson
Lecture title:

How calculus relates to optimization

Difficulty level: Beginner
Duration: 8:43
Speaker: : Barton Poulson
Lecture title:

Big O notation

Difficulty level: Beginner
Duration: 5:19
Speaker: : Barton Poulson
Lecture title:

Basics of probability.

Difficulty level: Beginner
Duration: 7:33
Speaker: : Barton Poulson
Lecture title:

This lecture covers describing and characterizing an input-output relationship.

Difficulty level: Beginner
Duration: 1:35:33
Lecture title:

Part 1 of 2 of a tutorial on statistical models for neural data

Difficulty level: Beginner
Duration: 1:45:48
Speaker: : Jonathan Pillow
Lecture title:

Part 2 of 2 of a tutorial on statistical models for neural data.

Difficulty level: Beginner
Duration: 1:50:31
Speaker: : Jonathan Pillow
Lecture title:

Introduction to stability analysis of neural models

Difficulty level: Intermediate
Duration: 1:26:06
Speaker: : Bard Ermentrout
Lecture title:

Introduction to stability analysis of neural models

Difficulty level: Intermediate
Duration: 1:25:38
Speaker: : Bard Ermentrout
Lecture title:

Oscillations and bursting

Difficulty level: Intermediate
Duration: 1:24:30
Speaker: : Bard Ermentrout