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Lecture title:

Lecture on the most important concepts in software engineering

Difficulty level: Beginner
Duration: 32:59
Speaker: : Jeff Muller
Lecture 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
Lecture title:

This tutorial is part 2 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
Lecture title:
Difficulty level: Beginner
Duration: 6:10
Speaker: : MATLAB®
Lecture title:
Difficulty level: Beginner
Duration: 15:10
Speaker: : MATLAB®
Lecture title:
Difficulty level: Beginner
Duration: 2:49
Speaker: : MATLAB®
Lecture title:
Difficulty level: Beginner
Duration: 6:10
Speaker: : MATLAB®
Lecture title:

This tutorial illustrates several ways to approach predictive modeling and machine learning with MATLAB.

Difficulty level: Beginner
Duration: 6:27
Speaker: : MATLAB®
Lecture title:
Difficulty level: Beginner
Duration: 3:55
Speaker: : MATLAB®
Lecture title:
Difficulty level: Beginner
Duration: 3:52
Speaker: : MATLAB®
Lecture title:

A brief overview of the Python programming language, with an emphasis on tools relevant to data scientists. This lecture was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Difficulty level: Beginner
Duration: 1:16:36
Speaker: : Tal Yarkoni
Lecture title:

This tutorial was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Difficulty level: Beginner
Duration: 1:21:40
Speaker: : Tal Yarkoni
Lecture title:

This lecture covers an introduction to neuroinformatics and its subfields, the content of the short course and future neuroinformatics applications.

Difficulty level: Beginner
Duration: 34:27
Lecture title:

2nd part of the lecture. Introduction to cell receptors and signalling cascades

Difficulty level: Beginner
Duration: 41:38
Lecture title:

GABAergic interneurons and local inhibition on the circuit level.

Difficulty level: Beginner
Duration: 16:27
Speaker: : Carl Petersen
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
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:

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