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  2. Do resting brain dynamics predict oddball evoked-potential? | BMC Neuroscience | Full Text
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This Work Package is building tools and workflows for data-driven reconstruction and simulation of brain models at different levels of biological organisation, exploiting data available through the Neuroinformatics Platform SP5. The tools, which will facilitate building of scaffold and community models elsewhere in the SP, will include a Hodgkin-Huxley Neuron Builder and tools for in silico experimentation. This comprises a collection of Apps, APIs and Platform Foundation Software, which support collaborations to build, simulate, analyse, validate and disseminate data-driven brain models. Part of the software underlying the Platform will be developed in WP6.

We will seed the development of Apps and APIs for a subset of this software, which has reached a high level of maturity. In the medium term, it is expected that most Apps will come from the community. Usually new endeavours require new tools and technologies to get to the next level. Neuroscientists in the Human Brain Project HBP collect a lot of data, develop models based on this data that try to explain how mechanisms in the brain work, and finally they simulate these models.

The scientists analyse the simulation results and compare them to experimental data to improve their models. We support neuroscientists to do this research by developing the tools and technology that they need for it. We make huge storage available at four centres in Europe to store the data.

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The storage at one site alone would be enough to store 3—4 billion books or for — years of high definition movies. At the same centres, there are also supercomputers, which are among the most powerful computers worldwide. One of the supercomputers is as powerful as about , standard computers. Our job in the HBP is not only to make this hardware available to the scientists, but also to develop software that supports neuroscientists in their endeavour, e. A visualisation turns the columns of numbers produced by a simulation into a graphical representation like pictures or even 3D objects.

Work Package WP 7. We aim to link extreme scale data processing challenges to the exploitation of scalable computer resources. This Work Package develops the concepts, numerical algorithms, and software technologies for the simulation codes of the HBP and corresponding in-situ visual analysis of data generated by simulations. The main activities of this Work Package are infrastructure operations, middleware services, identity management, development and support for platform and software development services, orchestration of resource usage, reporting and accounting, software deployment and DevOps.

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Our objective is to coordinate and validate the technology and infrastructure development in the Subproject, ensuring that the work is aligned with the overall HBP objectives, meets actual user needs and is efficiently organized and documented. Boris Orth; Ms. Our goal is to provide a collaborative open source platform, the Medical Informatics Platform MIP , that allows researchers worldwide to share medical data, enabling the use of machine-learning tools for brain-related diseases, while strictly preserving patient confidentiality. A combination of medicine and computer science, we aim to break down barriers between patient care, brain science, and clinical research to minimize the delays involved in diagnosis of brain diseases and institution of the most effective treatments.

As in many IT contexts, data security is treated as a top priority, the need for which is made all the more pressing due to the long-standing commitment of the medical profession to patient confidentiality.

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The Subproject aims to preserve hospital ownership and control of data by developing a federated query engine within the hospitals, leaving patient data in its original location and format. This is a fundamental change, compared to traditional schemes in which data are moved to accommodate the needs of the query engine. The research team is also developing techniques to ensure that it will not be possible to infer personal information about patients from query results while performing advance machine learning analytics. We urgently need better diagnostic tools and treatments for brain-related diseases.

People are living longer, thanks to improved sanitation, nutrition and treatments for infectious diseases. As a consequence, chronic diseases — which include most brain-related diseases — form the largest part of the overall health burden, and their share is growing. Work Package WP 8. This Work Package provides direction and guidance to the whole SP8 project, overseeing all its scientific, medical, technical and administrative aspects, and ensures that its values and expectations are fully met.

This requires proper operation on all levels of the platform - infrastructure, networking, technical components, application software components. This Work Package provides methods for data analysis based on statistical and machine learning tools, including both off the shelf and newly developed tools. The research in this work package will target modelling and validation of disease models, potential genetic and biomarkers and the identification of disease features as potential targets for therapy.

This Work Package will design novel allosteric ligands with possible applications for diagnosis and therapeutic purposes. We will focus on developing molecular-based simulations tools to target allosteric sites in pharmaceutically relevant classes of biomolecules involved in neuropathologies. The WP will develop a broad set of ontologies, covering a wide range of brain diseases and types of data. The Neuromorphic Computing Platform takes two fundamentally different paths to support scientific research and applications. The BrainScaleS system, based in Heidelberg, employs a mixed signal approach employing analogue electronics to model 4 million neurons and 1 billion synapses, as well as their connections and intercellular communications, using digital communications protocols.

It is targeted to the emerging field of bio-inspired AI as well as a better understanding of the learning and development in the brain. The system is a direct, silicon-based image of the neuronal networks found in nature and runs 10, times faster than its biological archetype, allowing a day of biological development to be compressed into 10 seconds.

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  5. The SpiNNaker system, based in Manchester, is a massively parallel computing platform, targeted towards neuroscience, robotics and computer science. For robotics, SpiNNaker provides mobile, low power computation, and makes possible the simulation of networks of tens of thousands of spiking neurons, as well as processing sensory input and generate motor output, all in real time and in a low power system.

    The system is unconventional in that SpiNNaker nodes communicate using simple messages spikes that are inherently unreliable. This break with determinism not only offers new challenges, but also the potential to discover powerful new principles of massively parallel computation. Both approaches are involved in technological next generation development both hardware and software and integration.

    Do resting brain dynamics predict oddball evoked-potential? | BMC Neuroscience | Full Text

    The establishment of principles for brain-like computation, computational capabilities through learning and large scale organisation of cognitive computation are also focuses of interest. Outreach activities include user training, support, and coordination for effective application of the Platform. Work Package WP 9. We develop, prototype, manufacture, assemble, test and operate next-generation hardware systems to implement massively parallel, physical models of brain cells, circuits and networks.

    The goal of WP 9. In this WP, we use brain activity and plasticity data to develop principles that enable brain-like computation, cognition, and learning in neuromorphic systems. This work supports emulation of specific brain functions or cognitive processes in existing neuromorphic hardware and will guide the design of next-generation neuromorphic systems.

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    Applications in WP 9. The human brain is one of the most astonishing, complex and tremendously powerful creations of nature. But what makes is so efficient, so flexible, so intelligent? The brain makes the body perform an action, then the body perceives the results of this action, and finally the brain interprets the results and changes its behaviour accordingly, so that the next action can be more effective.

    Our tools for creating virtual robots and environments can be found in our Neurorobotics Platform, which is public, online and available to all researchers who wish to test their brain models or build future brain-inspired robots. The Neurorobotics Platform is constantly evolving, thanks to inputs from researchers from all over the world, and our team is collaborating with them to help them implement their experiments using the Platform. The experiments include the iCub humanoid robot balancing a ball towards the centre of a board that it holds in its hand or the NeuroSnake robot faced with a similar challenge.

    They show that, in such simulated environments, robots equipped with the ability to perceive their surroundings can construct their own effective and powerful learning rules, almost like living creatures. Moreover, we are in the process of creating a complete virtual mouse, with eyes, whiskers, skin, a brain and a body, with bones and muscles that function like those of its natural counterpart. Work Package WP This Work Package develops an Integrated Behavioural Architecture and develops functional components for two behavioural closed-loop experiments, bridging between WP The objective of this Work Package is to transfer models of neural processing and robot systems into physical robots that operate in the real world and to develop novel neurorobotics technologies into potential products.

    SP11 supports HBP decision-making, operates the management structure and European Research Programme, ensures transparency and accountability toward funders and stakeholders, and maintains standards of quality and performance. Its primary responsibilities include coordination of the scientific roadmap, and in particular the supervision of the Milestones and Deliverables for the HBP's ICT Platforms.

    Other areas include:. This Work Package's activities cover the management of the Executive Management body of the Core Project, the Directorate, and the support of the other governing and advisory bodies. This Work Package covers all the activities necessary for the effective coordination of the Core Project, including the coordination of science and technology activities, planning, reporting, and gender equality activities.

    This Work Package collects the activities needed to manage the transformation of key HBP activities into a European Research infrastructure.

    Childhood stimulation key to brain development, study finds

    This includes active coordination of software and infrastructure developments in the HBP as well as coordination of cross-cutting innovation activities. This Work Package will coordinate the communication, dissemination and partnering activities across the project. The aim of this Work Package is to continue and expand coordination of the educational activities undertaken in SGA1 of the project, such as Schools, Student Conferences, Workshops and open online courses, and, in addition, to offer support in HBP infrastructure training and to provide coordination assistance for training.

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