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## Difficulty level

Lecture title:

The probability of a hypothesis, given data.

Difficulty level: Beginner
Duration: 7:57
Speaker: : Barton Poulson
Lecture title:

Why math is useful in data science.

Difficulty level: Beginner
Duration: 1:35
Speaker: : Barton Poulson
Lecture title:

Why statistics are useful for data science.

Difficulty level: Beginner
Duration: 4:01
Speaker: : Barton Poulson
Lecture title:

Statistics is exploring data.

Difficulty level: Beginner
Duration: 2:23
Speaker: : Barton Poulson
Lecture title:

Graphical data exploration

Difficulty level: Beginner
Duration: 8:01
Speaker: : Barton Poulson
Lecture title:

Numerical data exploration

Difficulty level: Beginner
Duration: 5:05
Speaker: : Barton Poulson
Lecture title:

Simple description of statistical data.

Difficulty level: Beginner
Duration: 10:16
Speaker: : Barton Poulson
Lecture title:

Basics of hypothesis testing.

Difficulty level: Beginner
Duration: 06:04
Speaker: : Barton Poulson
Lecture title:

Enabling neuroscience research using high performance computing

Difficulty level: Beginner
Duration: 39:27
Speaker: : Subha Sivagnanam
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:

This lecture gives an introduction to simulation, models, and the neural simulation tool NEST.

Difficulty level: Beginner
Duration: 1:48:18
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:

Forms of plasticity on many levels - short-term, long-term, metaplasticity, structural plasticity. With examples related to modelling of biochemical networks.

[NB: The sound uptake is a bit noisy the first few minutes, but gets better from about 5 mins in]

Difficulty level: Beginner
Duration: 1:11:29
Speaker: : Upi Bhalla
Lecture title:

Introduction to modelling of chemical computation in the brain

Difficulty level: Beginner
Duration: 1:00:11
Speaker: : Upi Bhalla

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

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

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 simple spiking neuron models.

Difficulty level: Beginner
Duration: 48 Slides
Speaker: : Zubin Bhuyan
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:

Forms of plasticity on many levels - short-term, long-term, metaplasticity, structural plasticity. With examples related to modelling of biochemical networks.

[NB: The sound uptake is a bit noisy the first few minutes, but gets better from about 5 mins in]

Difficulty level: Beginner
Duration: 1:11:29
Speaker: : Upi Bhalla