Course:

This module introduces computational neuroscience by simulating neurons according to the AdEx model. You will learn about generative modeling, dynamical systems, and FI curves. The MATLAB code introduces Live Scripts and functions.

Difficulty level: Intermediate

Duration: 8:21

Speaker: : Mike X. Cohen

Course:

This module introduces computational neuroscience by simulating neurons according to the AdEx model. You will learn about generative modeling, dynamical systems, and FI curves. The MATLAB code introduces Live Scripts and functions.

Difficulty level: Intermediate

Duration: 22:01

Speaker: : Mike X. Cohen

Course:

This module introduces computational neuroscience by simulating neurons according to the AdEx model. You will learn about generative modeling, dynamical systems, and FI curves. The MATLAB code introduces Live Scripts and functions.

Difficulty level: Intermediate

Duration: 11:20

Speaker: : Mike X. Cohen

Course:

Difficulty level: Intermediate

Duration: 20:39

Speaker: : Mike X. Cohen

Hardware for computing for non-ICT specialists

Difficulty level: Beginner

Duration: 43:21

Speaker: : Steve Furber

This lecture provides a history of data management, recent developments data management, and a brief description of scientific data management.

Difficulty level: Advanced

Duration: 35:10

Speaker: : Thomas Heinis

Computer arithmetic is necessarily performed using approximations to the real numbers they are intended to represent, and consequently it is possible for the discrepancies between the actual solution and the approximate solutions to diverge, i.e. to become increasingly different. This lecture focuses on how this happens and techniques for reducing the effects of these phenomena and discuss systems which are chaotic.

Difficulty level: Beginner

Duration: 36:56

Speaker: : David Lester

This lecture will addresses what it means for a problem to have a computable solution, methods for combining computability results to analyse more complicated problems, and finally look in detail at one particular problem which has no computable solution: the halting problem.

Difficulty level: Beginner

Duration: 28:28

Speaker: : David Lester

This lecture focuses on computational complexity which lies at the heart of computer science thinking. In short, it is a way to quickly gauge an approximation to the computational resource required to perform a task. Methods to analyse a computer program and to perform the approximation are presented. Speaker: David Lester.

Difficulty level: Beginner

Duration: 27:33

Speaker: : David Lester

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

Difficulty level: Beginner

Duration: 1:48:18

Speaker: : Marc-Oliver Gewaltig

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

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

Difficulty level: Beginner

Duration: 1:30:45

Speaker: : Maryann Martone

The ionic basis of the action potential, including the Hodgkin Huxley model.

Difficulty level: Beginner

Duration: 28:29

Speaker: : Carl Petersen

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

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

Introduction to modelling of chemical computation in the brain

Difficulty level: Beginner

Duration: 1:00:11

Speaker: : Upi Bhalla

Conference presentation on computationally demanding studies of synaptic plasticity on the molecular level

Difficulty level: Advanced

Duration: 15:44

Speaker: : Kim "Avrama" Blackwell

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

Course:

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

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