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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
Lesson 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
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:

An overview of some of the essential concepts in neuropharmacology (e.g. receptor binding, agonism, antagonism), an introduction to pharmacodynamics and pharmacokinetics, and an overview of the drug discovery process relative to diseases of the Central Nervous System.

Difficulty level: Beginner
Duration: 45:47
Lesson title:

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

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

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

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

This tutorial shows how to share your data in OpenNeuro.org

Difficulty level: Beginner
Duration: 1:22
Speaker: : Unknown
Lesson title:

This tutorial shows how to run analysis in OpenNeuro.org

Difficulty level: Beginner
Duration: 2:26
Speaker: : Unknown
Lesson title:

Inferring results from incomplete data

Difficulty level: Beginner
Duration: 4:28
Speaker: : Barton Poulson
Lesson title:

Finding parameter values, confidence intervals.

Difficulty level: Beginner
Duration: 08:04
Speaker: : Barton Poulson
Lesson title:

Methods for estimating parameters.

Difficulty level: Beginner
Duration: 5:29
Speaker: : Barton Poulson
Lesson title:

Measuring the correspondece between data and model.

Difficulty level: Beginner
Duration: 3:30
Speaker: : Barton Poulson
Lesson title:

How to choose useful variables.

Difficulty level: Beginner
Duration: 6:15
Speaker: : Barton Poulson
Lesson title:

Common problems in statistical modelling.

Difficulty level: Beginner
Duration: 5:58
Speaker: : Barton Poulson
Lesson title:

Common problems in statistical modelling.

Difficulty level: Beginner
Duration: 3:50
Speaker: : Barton Poulson
Lesson title:

You don't have to be a wizard to do statistics!

Difficulty level: Beginner
Duration: 3:18
Speaker: : Barton Poulson
Lesson title:

Overview of possible follow up courses and subjects from the same publisher.

Difficulty level: Beginner
Duration: 1:43
Speaker: : Barton Poulson
Lesson title:

This tutorial is part 1 of 2. It aims to provide viewers with an understanding of the fundamentals of R tool.

Difficulty level: Beginner
Duration: 1:32:59
Speaker: : Edureka