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  • Published: 01 February 2006

The Blue Brain Project

  • Henry Markram 1  

Nature Reviews Neuroscience volume  7 ,  pages 153–160 ( 2006 ) Cite this article

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IBM's Blue Gene supercomputer allows a quantum leap in the level of detail at which the brain can be modelled. I argue that the time is right to begin assimilating the wealth of data that has been accumulated over the past century and start building biologically accurate models of the brain from first principles to aid our understanding of brain function and dysfunction.

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Acknowledgements

I am grateful for the efforts of all my students, especially Y. Wang, A. Gupta, M. Toledo and G. Silberberg, in carrying out such challenging experiments and producing such incredible data. I thank P. Aebischer, G. Margaritondo, F. Avellan, G. Parisod and the entire EPFL (Ecole Polytechnique Fédérale de Lausanne) administration for their support of this project and for acquiring Blue Gene. I thank IBM (International Business Machines) for making this prototype supercomputer available and for their major support of neuroscience. I also thank SGI (Silicon Graphics, Inc.) for their major initiative to help with the visualization of the Blue Brain. I thank P. Goodman for his long-standing support of our reconstruction efforts and for introducing me to the Blue Gene initiative in 2000. Thanks also to the US Office of Naval Research for their support. I thank I. Segev, who is and will be essential to the success of the project, and G. Shepherd for their valuable comments on the manuscript.

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After death, the human body gets destroyed, brain stops working and human eventually loses his/her knowledge of the brain. But this knowledge and information can be preserved and used for thousands of years. Blue brain is the name of the first virtual brain in the world. This technology helps this activity. This article contains information about the blue brain, its needs, blue brain-building strategies, strengths and weaknesses and more. Collect data on the many types of somatic cells. The analog squares measurements were published on a IBM blue-chip central computer, hence the name “Blue Brain.” This usually corresponds to the size of the bee’s brain. It is hoped that simulation of gallium in the rat brain (21 million neurons) is to be performed by 2014. If you receive enough money, a full simulation of the human brain (86 billion neurons) should be performed, here 2023.

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de Camargo RY (2011) A multi-GPU algorithm for communication in neuronal network simulations. In: 2011 18th International conference on high performance computing (HiPC), pp 1–10

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The authors express their deep sense of gratitude to the founding President of Amity University, Mr. Ashok K. Chauhan, for his great interest in promoting research at Amity University and for his motivation to reach new heights.

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Tyagi, A., Ahuja, L. (2020). Blue Brain Technology. In: Saini, H., Sayal, R., Buyya, R., Aliseri, G. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 103. Springer, Singapore. https://doi.org/10.1007/978-981-15-2043-3_11

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COMMENTS

  1. Blue Brain

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  5. The Blue Brain Technology using Machine Learning

    The Blue Brain Project began developing the neocortical pillar in July 2005 in collaboration with EPFL, Professor Henry Markram of the Brain Mind Institute, and IBM (International Business Machines) to upload the human brain. "Blue brain" is the first virtual brain in the world. It is a computer that functions similarly to the human brain. The Blue Brain Project began developing the ...

  6. The Blue Brain Project

    The Blue Brain Project's Blue Gene is a 4-rack system that has 4,096 nodes, equal to 8,192 CPUs, with a peak performance of 22.4 TFLOPS. A 64-rack machine should provide 180 TFLOPS, or 360 TFLOPS ...

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  9. Publications

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  10. (PDF) Blue Brain Technology: An Overview

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  14. The Blue Brain Technology using Machine Learning

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