Abstract
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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References
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
Sandberg A, Boström N (2008). Whole brain emulation: a roadmap
Johanson C, Lansner A, Towards cortex estimated fake neural frameworks. Neural Netw
https://www.theglobaljournals.com/ijar/val=August1374511934_1c167_50.pdf
https://archive.org/stream/SingularityWikibook/Singularity-Wikibook_djvu.txt
Farahini N, Hemani A (2013) A conceptual custom super-computer design for real-time simulation of human brain. In: 2013 21st Iranian conference on electrical engineering (ICEE), pp 1–6
Painkras E, Plana LA, Garside J, Temple S, Galluppi F, Patterson C, Lester DR, Brown AD, Furber SB (2013) SpiNNaker: a 1-W 18-core system-on-chip for massively-parallel neural network simulation. Solid-State Circuits IEEE J 48(8):1943–1953
Preissl R, Pallab T, Flikner M, Singh R, Esser SK, Risk W, Simon H, Modha DS Compass: a scalable simulator for an architecture for cognitive computing
Wang M, Yan B, Hu J, Li P (2011) Simulation of large neuronal networks with biophysically accurate models on graphics processors. In: The 2011 international joint conference on neural networks (IJCNN), pp 3184–3193
Claton K, Rae B, Nancy, Charbn E, Hendeson RK, Leng G, Murray A (2011) An implementation of a spike-response model with escape noise using an avalanche diode. Biomed Circuits Syst IEEE Trans 5(3):231–243
Acknowledgements
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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DOI: https://doi.org/10.1007/978-981-15-2043-3_11
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