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Lecture 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
Lecture title:

Explore how to setup an epileptic seizure simulation with the TVB graphical user interface. This lesson will show you how to program the epileptor model in the brain network to simulate a epileptic seizure originating in the hippocampus. It will also show how to upload and view mouse connectivity data, as well as give a short introduction to the python script interface of TVB.

Difficulty level: Intermediate
Duration: 58:06
Speaker: : Paul Triebkorn
Lecture title:

Learn how to simulate seizure events and epilepsy in The Virtual Brain. We will look at the paper: On the Nature of Seizure Dynamics which describes a new local model called the Epileptor, and apply this same model in The Virtual Brain. This is part 1 of 2 in a series explaining how to use the Epileptor. In this part, we focus on setting up the parameters.

Difficulty level: Beginner
Duration: 4:44
Speaker: : Paul Triebkorn
Lecture 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
Lecture 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
Lecture 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
Lecture 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
Lecture 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
Lecture title:

Introduction to neurons, synaptic transmission, and ion channels.

Difficulty level: Beginner
Duration: 46:07
Lecture title:

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

Difficulty level: Beginner
Duration: 41:38
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:

Introduction to the origin and differentiation of myelinating cell types, molecular mechanisms defining onset and progression of myelination, demyelination and remyelination after injury.

Difficulty level: Beginner
Duration: 38:52
Lecture title:

This lecture covers: integrating information within a network, modulating and controlling networks, functions and dysfunctions of hippocampal networks, and the integrative network controlling sleep and arousal.

Difficulty level: Beginner
Duration: 47:05
Lecture title:

This lecture focuses on the comprehension of nociception and pain sensation. It highlights how the somatosensory system and different molecular partners are involved in nociception and how nociception and pain sensation are studied in rodents and humans and the development of pain therapy.

Difficulty level: Beginner
Duration: 28:09
Speaker: : Serena Quarta
Lecture 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
Lecture 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
Lecture 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
Lecture 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
Lecture title:

In the face of perceived public concerns about technological innovations, leading national and international bodies increasingly argue that there must be ‘dialogue' between policy makers, scientific researchers, civil society organizations and members of the public, to shape the pathways of technology development in a way that meets societal needs and gains public trust. This is not new, of course, and such concerns go back at least to the debates over the development of nuclear technologies and campaigns for social responsibility in science. Major funding bodies in the UK, Europe and elsewhere are now addressing this issue by insisting on Responsible Research and Innovation (RRI) in the development of emerging technology. Biotechnologies such as synthetic biology and neurotechnologies have become a particular focus of RRI, partly because of the belief that these are risky technologies involving tinkering with the very building blocks of life, and perhaps even with human nature. With my fellow researchers, I have been involved in trying to develop Responsible Research and Innovation in these technologies for several years.

Difficulty level: Beginner
Duration: 50:15
Speaker: : Nikolas Rose
Lecture title:

In this lecture, I consider some of the key social and ethical issues raised by the ‘big brain projects’ currently under way in Europe, the USA, China, Japan and many other regions. I will draw upon our own experience in the ‘ Foresight Lab’ of the HBP to discuss the ways in which these can usefully be approached from the perspective of responsible research and innovation and the AREA approach - anticipation, reflection, engagement and action. These include data protection, privacy and data governance; the search for ‘neural signatures’ of psychaitric and neurological disorders; ‘dual use’ or the military use of developments initially intended for clinical and civilian purposes; brain-computer interfaces and neural prosthetics; and the use of animals in brain research. Following a brief discussion of the challenges of translation from the lab to the real world, I will conclude by arguing that success in contemporary scientific research and innovation is best assured by openness, collaboration, sharing with fellow researchers; robust systems of data governance involving lay persons; frankness about realities of scientific research and innovation with fellow citizens; realism about complexities of links between researchers, publics and private enterprise; and understanding and engaging with the realities of science today in the real world.

Difficulty level: Beginner
Duration: 53:08
Speaker: : Nikolas Rose