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Lesson title:

Hardware for computing for non-ICT specialists

Difficulty level: Beginner
Duration: : 43:21
Speaker: : Steve Furber
Course Name: : Introduction to information and communications technology (ICT) for non-specialists
Lesson title:

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: :
Course Name: : Introduction to information and communications technology (ICT) for non-specialists
Lesson title:

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
Course Name: : Introduction to information and communications technology (ICT) for non-specialists
Lesson title:

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
Course Name: : Introduction to information and communications technology (ICT) for non-specialists
Lesson title:

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
Course Name: : Introduction to information and communications technology (ICT) for non-specialists
Lesson title:

This lecture focuses on where and how Jupyter notebooks can be used most effectively for education

Difficulty level: Beginner
Duration: : 34:53
Speaker: : Thomas Kluyver.
Course Name: : Jupyter Notebook
Lesson title:

JupyterHub is a simple, highly extensible, multi-user system for managing per-user Jupyter Notebook servers, designed for research groups or classes. This lecture covers deploying JupyterHub on a single server, as well as deploying with Docker using GitHub for authentication.

Difficulty level: Beginner
Duration: : 1:36:27
Speaker: : Thomas Kluyver.
Course Name: : Jupyter Notebook
Lesson title:

The Virtual Brain is an open-source, multi-scale, multi-modal brain simulation platform. In this lesson, you get introduced to brain simulation in general and to The Virtual brain in particular. Prof. Ritter will present the newest approaches for clinical applications of The Virtual brain - that is, for stroke, epilepsy, brain tumors and Alzheimer’s disease - and show how brain simulation can improve diagnostics, therapy and understanding of neurological disease.

Difficulty level: Beginner
Duration: : 1:35:08
Speaker: : Petra Ritter
Course Name: : The Virtual Brain: Bernstein Centre Lectures 2019
Lesson title:

The concept of neural masses, an application of mean field theory, is introduced as a possible surrogate for electrophysiological signals in brain simulation. The mathematics of neural mass models and their integration to a coupled network are explained. Bifurcation analysis is presented as an important technique in the understanding of non-linear systems and as a fundamental method in the design of brain simulations. Finally, the application of the described mathematics is demonstrated in the exploration of brain stimulation regimes.

Difficulty level: Beginner
Duration: : 1:49:24
Speaker: : Andreas Spiegler
Course Name: : The Virtual Brain: Bernstein Centre Lectures 2019
Lesson title:

The simulation of the virtual epileptic patient is presented as an example of advanced brain simulation as a translational approach to deliver improved results in clinics. The fundamentals of epilepsy are explained. On this basis, the concept of epilepsy simulation is developed. By using an iPython notebook, the detailed process of this approach is explained step by step. In the end, you are able to perform simple epilepsy simulations your own.

Difficulty level: Beginner
Duration: : 1:28:53
Speaker: : Julie Courtiol
Course Name: : The Virtual Brain: Bernstein Centre Lectures 2019
Lesson title:

The practical usage of The Virtual brain in its graphical user interface and via python scripts is introduced. In the graphical user interface, you are guided through its data repository, simulator, phase plane exploration tool, connectivity editor, stimulus generator and the provided analyses. The implemented iPython notebooks of TVB are presented, and since they are public, can be used for further exploration of The Virtual brain.

Difficulty level: Beginner
Duration: : 1:12:24
Speaker: : Paul Triebkorn
Course Name: : The Virtual Brain: Bernstein Centre Lectures 2019
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
Course Name: : INCF Short course: Introduction to neuroinformatics
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
Course Name: : Neuromorphic computing and challenges
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
Course Name: : Neuromorphic computing and challenges
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
Course Name: : Neuromorphic computing and challenges
Lesson title:

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
Course Name: : Neuromorphic computing and challenges
Lesson title:

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
Course Name: : Brain medicine for non-specialists
Lesson title:

Neuroethics has been described as containing at least two components - the neuroscience of ethics and the ethics of neuroscience. The first involves neuroscientific theories, research, and neuro-imaging focused on how the brain arrives at moral decisions and actions, which challenge existing descriptive theories of how humans develop moral thinking and make ethical decisions. The second, ethics of neuroscience, involves applying normative theories about what is right, good and fair to ethical questions raised by neuroscientific research and new technologies, such as how to balance the public benefit of “big data” neuroscience while protecting individual privacy and norms of informed consent.

Difficulty level: Beginner
Duration: : 38:49
Course Name: : Research, ethics, and societal impact
Lesson title:

The HBP as an ICT flagship project crucially relies on ICT and will contribute important input into the development of new computing principles and artefacts. Individuals working on the HBP should therefore be aware of the long history of ethical issues discussed in computing. The discourse on ethics and computing can be traced back to Norbert Wiener and the very beginning of digital computing. From the 1970s and 80s it has developed into an active discussion involving academics from various disciplines, professional bodies and industry.

Difficulty level: Beginner
Duration: : 46:12
Speaker: : Bernd Stahl
Course Name: : Research, ethics, and societal impact
Lesson title:

Like any transformative technology, intelligent robotics has the potential for huge benefit, but is not without ethical or societal risk. In this lecture, I will explore two questions. Firstly, the increasingly urgent question of the ethical use of robots: are there particular applications of robots that should be proscribed, in eldercare, or surveillance, or war fighting for example? When intelligent autonomous robots make mistakes, as they inevitably will, who should be held to account? Secondly, I will consider the longer-term question of whether intelligent robots themselves could or should be ethical. Seventy years ago Isaac Asimov created his fictional Three Laws of Robotics. Is there now a realistic prospect that we could build a robot that is Three Laws Safe?

Difficulty level: Beginner
Duration: : 31:35
Speaker: : Alan Winfield
Course Name: : Research, ethics, and societal impact