Hardware for computing for non-ICT specialists

Difficulty level: Beginner

Duration: 43:21

Speaker: : Steve Furber

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 will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases

Difficulty level: Beginner

Duration: 1:02:29

Speaker: : Nir Giladi

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

Speaker: : Sandra Santos-Sierra

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

Difficulty level: Beginner

Duration: 41:38

Speaker: : Christoph Schwarzer

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

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

Course:

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

Course:

Introduction to modelling of chemical computation in the brain

Difficulty level: Beginner

Duration: 1:00:11

Speaker: : Upi Bhalla

Introduction to the role of models in theoretical neuroscience

Difficulty level: Beginner

Duration: 19:26

Speaker: : Jakob Macke

Different types of models, model complexity, and how to choose an appropriate model.

Difficulty level: Beginner

Duration: 39:09

Speaker: : Astrid Prinz

Balanced E-I networks, stability and gain modulation

Difficulty level: Beginner

Duration: 1:22:11

Speaker: : Kenneth Miller

- Assembly 2021 (1)
- Brain-hardware interfaces (13)
- Clinical neuroscience (13)
- Data curation (1)
- Data governance (1)
- Data sharing (4)
- Metadata (1)
- Neural networks (1)
- PET (1)
- General neuroscience
(28)
- Phenome (1)
- General neuroinformatics (1)
- Clinical neuroinformatics (6)
- (-) Computational neuroscience (182)
- (-) Computer Science (12)
- Genomics (24)
- (-) Data science (14)
- Open science (21)
- Project management (7)
- Publishing (1)
- Neuroethics (28)