The Experts below are selected from a list of 17172 Experts worldwide ranked by ideXlab platform

Alois Knoll - One of the best experts on this subject based on the ideXlab platform.

  • The Human Brain Project - Synergy between neuroscience, computing, informatics, and Brain-inspired technologies
    PLoS biology, 2019
    Co-Authors: Katrin Amunts, Thomas Lippert, Alois Knoll, Egidio D'angelo, Cyriel M. A. Pennartz, Philippe Ryvlin, Alain Destexhe, Viktor K. Jirsa, Jan G. Bjaalie
    Abstract:

    The Human Brain Project (HBP) is a European flagship Project with a 10-year horizon aiming to understand the Human Brain and to translate neuroscience knowledge into medicine and technology. To achieve such aims, the HBP explores the multilevel complexity of the Brain in space and time; transfers the acquired knowledge to Brain-derived applications in health, computing, and technology; and provides shared and open computing tools and data through the HBP European Brain research infrastructure. We discuss how the HBP creates a transdisciplinary community of researchers united by the quest to understand the Brain, with fascinating perspectives on societal benefits.

  • The Human Brain Project—Synergy between neuroscience, computing, informatics, and Brain-inspired technologies
    PLoS Biology, 2019
    Co-Authors: Katrin Amunts, Thomas Lippert, Alois Knoll, Egidio D'angelo, Cyriel M. A. Pennartz, Philippe Ryvlin, Alain Destexhe, Viktor K. Jirsa, Jan G. Bjaalie
    Abstract:

    The Human Brain Project (HBP) is a European flagship Project with a 10-year horizon aiming to understand the Human Brain and to translate neuroscience knowledge into medicine and technology. To achieve such aims, the HBP explores the multilevel complexity of the Brain in space and time; transfers the acquired knowledge to Brain-derived applications in health, computing, and technology; and provides shared and open computing tools and data through the HBP European Brain research infrastructure. We discuss how the HBP creates a transdisciplinary community of researchers united by the quest to understand the Brain, with fascinating perspectives on societal benefits.

  • plenary talk 1 bionic systems basic research and recent results in neurorobotics in the Human Brain Project
    2017 IEEE International Conference on Cyborg and Bionic Systems (CBS), 2017
    Co-Authors: Alois Knoll
    Abstract:

    Neurorobotics is an emerging science that studies the interaction of Brain, body, and environment in closed perception-action loops where a robot's actions affect its future sensory input. At the core of this field are robots controlled by simulated nervous systems that model the structure and function of biological Brains at varying levels of detail. In a typical neurorobotics experiment, a robot or agent will perceive its current environment through a set of sensors that transmit their signals to a simulated Brain. The Brain model may then produce signals that will cause the robot to move, thereby changing the agent's perception of the environment. Observing how the robot then interacts with its environment and how the robot's actions influence its future sensory input allows scientists to study how Brain and body have to work together to produce the appropriate response to a given stimulus. Neurorobotics is a strategic pillar of the Human Brain Project HBP, one of Europe's biggest research Projects in the area of ICT. The aim of this pillar is two-fold: (i) to provide roboticists with the methods and tools to build robots with Brain-derived controllers and (ii) to provide neuroscientists with Brain-controlled robots that they can use for their experiments. Thus, neurorobotics links robotics and neuroscience, enabling a seamless exchange of knowledge between these two disciplines. The HBP is currently building the neurorobotics platform NRP, which will enable roboticists and neuroscience researchers to perform neurorobotics experiments both in the virtual and — completely synchronously — in the real world. We expect the productivity in Brain-derived robotics development to increase exponentially when the NRP reaches full operability. In my talk, I will briefly describe the foundations of the HBP and give a more detailed overview of the NRP, including a short description of its development timeline. I will conclude with the presentation of some preliminary results of the NRP and an outlook on next steps.

  • Neurorobotics: From Computational Neuroscience to Intelligent Robots and Back
    Informatik Spektrum, 2017
    Co-Authors: Alois Knoll, Florian Röhrbein, Mahmoud Akl, A. Kuhn, K. Sharma
    Abstract:

    The field of neurorobotics encompasses the intersection of computational neuroscience and robotics. The TUM led Neurorobotics subProject of the Human Brain Project is actively researching concepts within the field and developing the tools to allow researchers to fully explore simulated robotics driven by computational neuroscience models. Further, the development of biologically inspired, tendon driven robotics systems provides a unique research platform. These efforts allow researchers to explore the interesting space from computational neuroscience to intelligent robots and back.

  • the Human Brain Project creating a european research infrastructure to decode the Human Brain
    Neuron, 2016
    Co-Authors: Katrin Amunts, Christoph J Ebell, Jeff Muller, Martin Telefont, Alois Knoll, Thomas Lippert
    Abstract:

    Decoding the Human Brain is perhaps the most fascinating scientific challenge in the 21st century. The Human Brain Project (HBP), a 10-year European Flagship, targets the reconstruction of the Brain's multi-scale organization. It uses productive loops of experiments, medical, data, data analytics, and simulation on all levels that will eventually bridge the scales. The HBP IT architecture is unique, utilizing cloud-based collaboration and development platforms with databases, workflow systems, petabyte storage, and supercomputers. The HBP is developing toward a European research infrastructure advancing Brain research, medicine, and Brain-inspired information technology.

James F. Brinkley - One of the best experts on this subject based on the ideXlab platform.

  • AMIA - BioMediator Data Integration: Beyond Genomics to Neuroscience Data
    AMIA ... Annual Symposium proceedings. AMIA Symposium, 2005
    Co-Authors: Kelan Wang, Peter Tarczy-hornoch, Ron Shaker, Peter Mork, James F. Brinkley
    Abstract:

    The BioMediator system developed at the University of Washington (UW) provides a theoretical and practical foundation for data integration across diverse biomedical research domains and various data types. In this paper we demonstrate the generalizability of its architecture through its application to the UW Human Brain Project (HBP) for understanding language organization in the Brain. We first describe the system architecture and the characteristics of the four data sources developed by the UW HBP. Second we present the process of developing the application prototype for HBP neuroscience researchers posing queries across these semantically and syntactically heterogeneous neurophysiologic data sources. Then we discuss the benefits and potential limitations of the BioMediator system as a general data integration solution for different user groups in genomic and neuroscience research domains.

  • dynamic xml based exchange of relational data application to the Human Brain Project
    American Medical Informatics Association Annual Symposium, 2003
    Co-Authors: Zhengming Tang, Yana Kadiyska, Dan Suciu, James F. Brinkley
    Abstract:

    This paper discusses an approach to exporting relational data in XML format for data exchange over the web. We describe the first real-world application of SilkRoute, a middleware program that dynamically converts existing relational data to a user-defined XML DTD. The application, called XBrain, wraps SilkRoute in a Java Server Pages framework, thus permitting a web-based XQuery interface to a legacy relational database. The application is demonstrated as a query interface to the University of Washington Brain Project’s Language Map Experiment Management System, which is used to manage data about language organization in the Brain.

  • AMIA - Dynamic XML-based exchange of relational data: application to the Human Brain Project.
    AMIA ... Annual Symposium proceedings. AMIA Symposium, 2003
    Co-Authors: Zhengming Tang, Yana Kadiyska, Dan Suciu, James F. Brinkley
    Abstract:

    This paper discusses an approach to exporting relational data in XML format for data exchange over the web. We describe the first real-world application of SilkRoute, a middleware program that dynamically converts existing relational data to a user-defined XML DTD. The application, called XBrain, wraps SilkRoute in a Java Server Pages framework, thus permitting a web-based XQuery interface to a legacy relational database. The application is demonstrated as a query interface to the University of Washington Brain Project’s Language Map Experiment Management System, which is used to manage data about language organization in the Brain.

  • Imaging and the Human Brain Project: a review.
    Methods of information in medicine, 2002
    Co-Authors: James F. Brinkley, Cornelius Rosse
    Abstract:

    Survey current work primarily funded by the US Human Brain Project (HBP) that involves substantial use of images. Organize this work around a framework based on the physical organization of the body. Pointers to individual research efforts were obtained through the HBP home page as well as personal contracts from HBP annual meetings. References from these sources were followed to find closely related work. The individual research efforts were then studied and characterized. The subject of the review is the intersection of neuroinformatics (information about the Brain), imaging informatics (information about images), and structural informatics (information about the physical structure of the body). Of the 30 funded Projects currently listed on the HBP web site, at least 22 make heavy use of images. These Projects are described in terms of broad categories of structural imaging, functional imaging, and image-based Brain information systems. Understanding the most complex entity known (the Brain) gives rise to many interesting and difficult problems in informatics and computer science. Although much progress has been made by HBP and other neuroinformatics researchers, a great many problems remain that will require substantial informatics research efforts. Thus, the HPB can and should be seen as an excellent driving application area for biomedical informatics research.

  • imaging and the Human Brain Project a review
    Methods of Information in Medicine, 2002
    Co-Authors: James F. Brinkley, Cornelius Rosse
    Abstract:

    Objectives: Survey current work primarily funded by the US Human Brain Project (HBP) that involves substantial use of images. Organize this work around a framework based on the physical organization of the body. Methods: Pointers to individual research efforts were obtained through the HBP home page as well as personal contacts from HBP annual meetings. References from these sources were followed to find closely related work. The individual research efforts were then studied and characterized. Results: The subject of the review is the intersection of neuroinformatics (information about the Brain), imaging informatics (information about images), and structural informatics (information about the physical structure of the body). Of the 30 funded Projects currently listed on the HBP web site, at least 22 make heavy use of images. These Projects are described in terms of broad categories of structural imaging, functional imaging, and image-based Brain information systems. Conclusions: Understanding the most complex entity known (the Brain) gives rise to many interesting and difficult problems in informatics and computer science. Although much progress has been made by HBP and other neuroinformatics researchers, a great many problems remain that will require substantial informatics research efforts. Thus, the HPB can and should be seen as an excellent driving application area for biomedical informatics research.

Thomas Lippert - One of the best experts on this subject based on the ideXlab platform.

  • The Human Brain Project—Synergy between neuroscience, computing, informatics, and Brain-inspired technologies
    PLoS Biology, 2019
    Co-Authors: Katrin Amunts, Thomas Lippert, Alois Knoll, Egidio D'angelo, Cyriel M. A. Pennartz, Philippe Ryvlin, Alain Destexhe, Viktor K. Jirsa, Jan G. Bjaalie
    Abstract:

    The Human Brain Project (HBP) is a European flagship Project with a 10-year horizon aiming to understand the Human Brain and to translate neuroscience knowledge into medicine and technology. To achieve such aims, the HBP explores the multilevel complexity of the Brain in space and time; transfers the acquired knowledge to Brain-derived applications in health, computing, and technology; and provides shared and open computing tools and data through the HBP European Brain research infrastructure. We discuss how the HBP creates a transdisciplinary community of researchers united by the quest to understand the Brain, with fascinating perspectives on societal benefits.

  • The Human Brain Project - Synergy between neuroscience, computing, informatics, and Brain-inspired technologies
    PLoS biology, 2019
    Co-Authors: Katrin Amunts, Thomas Lippert, Alois Knoll, Egidio D'angelo, Cyriel M. A. Pennartz, Philippe Ryvlin, Alain Destexhe, Viktor K. Jirsa, Jan G. Bjaalie
    Abstract:

    The Human Brain Project (HBP) is a European flagship Project with a 10-year horizon aiming to understand the Human Brain and to translate neuroscience knowledge into medicine and technology. To achieve such aims, the HBP explores the multilevel complexity of the Brain in space and time; transfers the acquired knowledge to Brain-derived applications in health, computing, and technology; and provides shared and open computing tools and data through the HBP European Brain research infrastructure. We discuss how the HBP creates a transdisciplinary community of researchers united by the quest to understand the Brain, with fascinating perspectives on societal benefits.

  • the Human Brain Project creating a european research infrastructure to decode the Human Brain
    Neuron, 2016
    Co-Authors: Katrin Amunts, Christoph J Ebell, Jeff Muller, Martin Telefont, Alois Knoll, Thomas Lippert
    Abstract:

    Decoding the Human Brain is perhaps the most fascinating scientific challenge in the 21st century. The Human Brain Project (HBP), a 10-year European Flagship, targets the reconstruction of the Brain's multi-scale organization. It uses productive loops of experiments, medical, data, data analytics, and simulation on all levels that will eventually bridge the scales. The HBP IT architecture is unique, utilizing cloud-based collaboration and development platforms with databases, workflow systems, petabyte storage, and supercomputers. The HBP is developing toward a European research infrastructure advancing Brain research, medicine, and Brain-inspired information technology.

  • HPC for the Human Brain Project
    2014
    Co-Authors: Thomas Lippert
    Abstract:

    The Human Brain Project, one of two European flagship Projects, is a collaborative effort to reconstruct the Brain, piece by piece, in multi-scale models and their supercomputer-based simulation, integrating and federating giant amounts of existing information and creating new information and knowledge about the Human Brain. A fundamental impact on our understanding of the Human Brain and its diseases as well as on novel Brain-inspired computing technologies is expected. The HPC Platform will be one of the central elements of the Project. Including major European supercomputing centres and several universities, its mission is to build, integrate and operate the hardware, network and software components of the supercomputing and big data infrastructures from the cell to full-scale interactive Brain simulations, with data management, processing and visualization. In my contribution, I will discuss the requirements of the HBP on HPC hardware and software technology. These requirements follow the multi-scale approach of the HBP to decode the Brain and recreate it virtually. On the cellular level, hardware-software architectures for quantum mechanical ab-initio molecular dynamics methods and for classical molecular dynamics methods will be included in the platform. On the level of the full-scale Brain simulation, on the one hand, a development system to ``build{''} the Brain by integration of all accessible data distributed worldwide as well as for tests and evaluation of the Brain software is foreseen, and, on the other hand, a system that acts as the central Brain simulation facility, eventually allowing for interactive simulation and visualization of the entire Human Brain. Additionally, the Brain needs to be equipped with the proper sensory environment, a body, provided by virtual robotics codes developed on a suitable hardware system. It is expected that the Human Brain Project can trigger innovative solutions for future exascale architectures permitting hierarchical memory structures and interactive operation.

  • ICS - HPC for the Human Brain Project
    Proceedings of the 28th ACM international conference on Supercomputing - ICS '14, 2014
    Co-Authors: Thomas Lippert
    Abstract:

    The Human Brain Project, one of two European flagship Projects, is a collaborative effort to reconstruct the Brain, piece by piece, in multi-scale models and their supercomputer-based simulation, integrating and federating giant amounts of existing information and creating new information and knowledge about the Human Brain. A fundamental impact on our understanding of the Human Brain and its diseases as well as on novel Brain-inspired computing technologies is expected. The HPC Platform will be one of the central elements of the Project. Including major European supercomputing centres and several universities, its mission is to build, integrate and operate the hardware, network and software components of the supercomputing and big data infrastructures from the cell to full-scale interactive Brain simulations, with data management, processing and visualization. In my contribution, I will discuss the requirements of the HBP on HPC hardware and software technology. These requirements follow the multi-scale approach of the HBP to decode the Brain and recreate it virtually. On the cellular level, hardware-software architectures for quantum mechanical ab-initio molecular dynamics methods and for classical molecular dynamics methods will be included in the platform. On the level of the full-scale Brain simulation, on the one hand, a development system to "build" the Brain by integration of all accessible data distributed worldwide as well as for tests and evaluation of the Brain software is foreseen, and, on the other hand, a system that acts as the central Brain simulation facility, eventually allowing for interactive simulation and visualization of the entire Human Brain. Additionally, the Brain needs to be equipped with the proper sensory environment, a body, provided by virtual robotics codes developed on a suitable hardware system. It is expected that the Human Brain Project can trigger innovative solutions for future exascale architectures permitting hierarchical memory structures and interactive operation.

Jesus Labarta - One of the best experts on this subject based on the ideXlab platform.

  • mpi openmp tasking scalability for the simulation of the Human Brain Human Brain Project
    Proceedings of the 25th European MPI Users' Group Meeting on, 2018
    Co-Authors: Pedro Valerolara, Raul Sirvent, Antonio J Pena, Xavier Martorell, Jesus Labarta
    Abstract:

    The simulation of the behavior of the Human Brain is one of the most ambitious challenges today with a non-end of important applications. We can find many different initiatives in the USA, Europe and Japan which attempt to achieve such a challenging target. In this work we focus on the most important European initiative (Human Brain Project) and on one of the tools (Arbor). This tool simulates the spikes triggered in a neuronal network by computing the voltage capacitance on the neurons' morphology, being one of the most precise simulators today. In the present work, we have evaluated the use of MPI+OpenMP tasking on top of the Arbor simulator. In this paper, we present the main characteristics of the Arbor tool and how these can be efficiently managed by using MPI+OpenMP tasking. We prove that this approach is able to achieve a good scaling even when computing a relatively low workload (number of neurons) per node using up to 32 nodes. Our target consists of achieving not only a highly scalable implementation based on MPI, but also to develop a tool with a high degree of abstraction without losing control and performance by using MPI+OpenMP tasking.

  • EuroMPI - MPI+OpenMP Tasking Scalability for the Simulation of the Human Brain: Human Brain Project
    Proceedings of the 25th European MPI Users' Group Meeting, 2018
    Co-Authors: Pedro Valero-lara, Raul Sirvent, Antonio J Pena, Xavier Martorell, Jesus Labarta
    Abstract:

    The simulation of the behavior of the Human Brain is one of the most ambitious challenges today with a non-end of important applications. We can find many different initiatives in the USA, Europe and Japan which attempt to achieve such a challenging target. In this work we focus on the most important European initiative (Human Brain Project) and on one of the tools (Arbor). This tool simulates the spikes triggered in a neuronal network by computing the voltage capacitance on the neurons' morphology, being one of the most precise simulators today. In the present work, we have evaluated the use of MPI+OpenMP tasking on top of the Arbor simulator. In this paper, we present the main characteristics of the Arbor tool and how these can be efficiently managed by using MPI+OpenMP tasking. We prove that this approach is able to achieve a good scaling even when computing a relatively low workload (number of neurons) per node using up to 32 nodes. Our target consists of achieving not only a highly scalable implementation based on MPI, but also to develop a tool with a high degree of abstraction without losing control and performance by using MPI+OpenMP tasking.

  • cuhinesbatch solving multiple hines systems on gpus Human Brain Project
    International Conference on Conceptual Structures, 2017
    Co-Authors: Pedro Valerolara, Raul Sirvent, Antonio J Pena, Xavier Martorell, Jesus Labarta, Ivan Martinezperez
    Abstract:

    Abstract The simulation of the behavior of the Human Brain is one of the most important challenges today in computing. The main problem consists of finding efficient ways to manipulate and compute the huge volume of data that this kind of simulations need, using the current technology. In this sense, this work is focused on one of the main steps of such simulation, which consists of computing the Voltage on neurons’ morphology. This is carried out using the Hines Algorithm. Although this algorithm is the optimum method in terms of number of operations, it is in need of non-trivial modifications to be efficiently parallelized on NVIDIA GPUs. We proposed several optimizations to accelerate this algorithm on GPU-based architectures, exploring the limitations of both, method and architecture, to be able to solve efficiently a high number of Hines systems (neurons). Each of the optimizations are deeply analyzed and described. To evaluate the impact of the optimizations on real inputs, we have used 6 different morphologies in terms of size and branches. Our studies have proven that the optimizations proposed in the present work can achieve a high performance on those computations with a high number of neurons, being our GPU implementations about 4× and 8× faster than the OpenMP multicore implementation (16 cores), using one and two K80 NVIDIA GPUs respectively. Also, it is important to highlight that these optimizations can continue scaling even when dealing with number of neurons.

  • ICCS - cuHinesBatch: Solving Multiple Hines systems on GPUs Human Brain Project
    Procedia Computer Science, 2017
    Co-Authors: Pedro Valero-lara, Raul Sirvent, Antonio J Pena, Xavier Martorell, Ivan Martínez-pérez, Jesus Labarta
    Abstract:

    The simulation of the behavior of the Human Brain is one of the most important challenges today in computing. The main problem consists of finding efficient ways to manipulate and compute the huge volume of data that this kind of simulations need, using the current technology. In this sense, this work is focused on one of the main steps of such simulation, which consists of computing the Voltage on neurons’ morphology. This is carried out using the Hines Algorithm. Although this algorithm is the optimum method in terms of number of operations, it is in need of non-trivial modifications to be efficiently parallelized on NVIDIA GPUs. We proposed several optimizations to accelerate this algorithm on GPU-based architectures, exploring the limitations of both, method and architecture, to be able to solve efficiently a high number of Hines systems (neurons). Each of the optimizations are deeply analyzed and described. To evaluate the impact of the optimizations on real inputs, we have used 6 different morphologies in terms of size and branches. Our studies have proven that the optimizations proposed in the present work can achieve a high performance on those computations with a high number of neurons, being our GPU implementations about 4× and 8× faster than the OpenMP multicore implementation (16 cores), using one and two K80 NVIDIA GPUs respectively. Also, it is important to highlight that these optimizations can continue scaling even when dealing with number of neurons.This Project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 720270 (HBP SGA1), from the Spanish Ministry of Economy and Competitiveness\ud under the Project Computación de Altas Prestaciones VII (TIN2015-65316-P) and the Departament d’Innovació, Universitats i Empresa de la Generalitat de Catalunya, under Project MPEXPAR: Models de Programació i Entorns d’Execució Paral·lels (2014-SGR-1051). We thank the support of NVIDIA through the BSC/UPC NVIDIA GPU Center of Excellence. Antonio J. Peña is cofinanced by the Spanish Ministry of\ud Economy and Competitiveness under Juan de la Cierva fellowship number IJCI-2015-23266.Peer ReviewedPostprint (published version

  • BrainComp - Performance Analysis and Parallelization Strategies in Neuron Simulation Codes
    Lecture Notes in Computer Science, 2014
    Co-Authors: Victor Lopez, Marçal Sola, Jesus Labarta
    Abstract:

    An important activity within the Human Brain Project (HBP) is to analyse and optimize the two main neuron simulation codes to improve their scalability and adapt them to efficiently work under an interactive supercomputing usage pattern. One application was already MPI + OpenMP while the other was pure MPI. We describe the analyses performed with the BSC tools and the initial efforts to hybridize the codes for better matching multicore architectures and to introduce the malleability that will be needed to operate under dynamic resource allocation environments of the future.

Jan G. Bjaalie - One of the best experts on this subject based on the ideXlab platform.

  • The Human Brain Project - Synergy between neuroscience, computing, informatics, and Brain-inspired technologies
    PLoS biology, 2019
    Co-Authors: Katrin Amunts, Thomas Lippert, Alois Knoll, Egidio D'angelo, Cyriel M. A. Pennartz, Philippe Ryvlin, Alain Destexhe, Viktor K. Jirsa, Jan G. Bjaalie
    Abstract:

    The Human Brain Project (HBP) is a European flagship Project with a 10-year horizon aiming to understand the Human Brain and to translate neuroscience knowledge into medicine and technology. To achieve such aims, the HBP explores the multilevel complexity of the Brain in space and time; transfers the acquired knowledge to Brain-derived applications in health, computing, and technology; and provides shared and open computing tools and data through the HBP European Brain research infrastructure. We discuss how the HBP creates a transdisciplinary community of researchers united by the quest to understand the Brain, with fascinating perspectives on societal benefits.

  • The Human Brain Project—Synergy between neuroscience, computing, informatics, and Brain-inspired technologies
    PLoS Biology, 2019
    Co-Authors: Katrin Amunts, Thomas Lippert, Alois Knoll, Egidio D'angelo, Cyriel M. A. Pennartz, Philippe Ryvlin, Alain Destexhe, Viktor K. Jirsa, Jan G. Bjaalie
    Abstract:

    The Human Brain Project (HBP) is a European flagship Project with a 10-year horizon aiming to understand the Human Brain and to translate neuroscience knowledge into medicine and technology. To achieve such aims, the HBP explores the multilevel complexity of the Brain in space and time; transfers the acquired knowledge to Brain-derived applications in health, computing, and technology; and provides shared and open computing tools and data through the HBP European Brain research infrastructure. We discuss how the HBP creates a transdisciplinary community of researchers united by the quest to understand the Brain, with fascinating perspectives on societal benefits.

  • The Human Brain Project: Responsible Brain Research for the Benefit of Society
    Neuron, 2019
    Co-Authors: Arleen Salles, Jan G. Bjaalie, Kathinka Evers, Michele Farisco, B. Tyr Fothergill, Manuel Guerrero, Hannah Maslen, Jeffrey Muller, Tony J. Prescott, Bernd Carsten Stahl
    Abstract:

    Recognizing that its research may raise various ethical, social, and philosophical issues, the HBP has made the identification, examination, and management of those issues a top priority. The Ethics and Society subProject is part of the core research Project.

  • Feeding the Human Brain model
    Current opinion in neurobiology, 2015
    Co-Authors: Paul H. E. Tiesinga, Rembrandt Bakker, Sean Hill, Jan G. Bjaalie
    Abstract:

    The goal of the Human Brain Project is to develop, during the next decade, an infrastructure capable of simulating a draft Human Brain model based on available experimental data. One of the key issues is therefore to integrate and make accessible the experimental data necessary to constrain and fully specify this model. The required data covers many different spatial scales, ranging from the molecular scale to the whole Brain and these data are obtained using a variety of techniques whose measurements may not be directly comparable. Furthermore, these data are incomplete, and will remain so at least for the coming decade. Here we review new neuroinformatics techniques that need to be developed and applied to address these issues.