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Lesson 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
Lesson 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
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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
Lesson 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
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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
Lesson title:

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

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

Primer on elementary algebra

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

Primer on linear algebra

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

Primer on systems of linear equations

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

Primer on calculus

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

How calculus relates to optimization

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

Big O notation

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

Basics of probability.

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

This video will teach you the basics of navigating the OSF, a free research management tool, and creating your first projects.

Difficulty level: Beginner
Duration: 2:11
Speaker: :
Lesson title:

This webinar walks you through the basics of creating an OSF project, structuring it to fit your research needs, adding collaborators, and tying your favorite online tools into your project structure.

Difficulty level: Beginner
Duration: 55:02
Speaker: : Ian Sullivan
Lesson title:

This webinar will introduce how to use the Open Science Framework (OSF; https://osf.io) in a Classroom. The OSF is a free, open source web application built to help researchers manage their workflows. The OSF is part collaboration tool, part version control software, and part data archive. The OSF connects to popular tools researchers already use, like Dropbox, Box, Github and Mendeley, to streamline workflows and increase efficiency.

Difficulty level: Beginner
Duration: 32:01
Lesson title:

Organizing related projects with Links, Forks, and Templates.

Difficulty level: Beginner
Duration: 51:14
Speaker: : Ian Sullivan
Lesson title:

This webinar will introduce the integration of JASP Statistical Software (https://jasp-stats.org/) with the Open Science Framework (OSF; https://osf.io). The OSF is a free, open source web application built to help researchers manage their workflows

Difficulty level: Beginner
Duration: 30:56
Speaker: : Alexander Etz
Lesson title:
  1. How keeping track of the different file versions is important for efficient reproducible research practices
  2. How version control works on the OSF
  3. How researchers can view and download previous versions of files
Difficulty level: Beginner
Duration: 22:07
Lesson title:

This tutorial talks about how to upload and version your data in OpenNeuro.org

Difficulty level: Beginner
Duration: 5:36
Speaker: : Unknown