Open Access   Article Go Back

The Blue Brain Technology: Study and Application Review

Harsh Ghelani1

  1. KJ Somaiya College of Engineering, Mumbai, India.

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-4 , Page no. 322-324, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i4.322324

Online published on Apr 30, 2018

Copyright © Harsh Ghelani . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Harsh Ghelani , “The Blue Brain Technology: Study and Application Review,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.4, pp.322-324, 2018.

MLA Style Citation: Harsh Ghelani "The Blue Brain Technology: Study and Application Review." International Journal of Computer Sciences and Engineering 6.4 (2018): 322-324.

APA Style Citation: Harsh Ghelani , (2018). The Blue Brain Technology: Study and Application Review. International Journal of Computer Sciences and Engineering, 6(4), 322-324.

BibTex Style Citation:
@article{Ghelani_2018,
author = {Harsh Ghelani },
title = {The Blue Brain Technology: Study and Application Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2018},
volume = {6},
Issue = {4},
month = {4},
year = {2018},
issn = {2347-2693},
pages = {322-324},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1893},
doi = {https://doi.org/10.26438/ijcse/v6i4.322324}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i4.322324}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1893
TI - The Blue Brain Technology: Study and Application Review
T2 - International Journal of Computer Sciences and Engineering
AU - Harsh Ghelani
PY - 2018
DA - 2018/04/30
PB - IJCSE, Indore, INDIA
SP - 322-324
IS - 4
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
554 349 downloads 177 downloads
  
  
           

Abstract

Since the beginning of time the human brain has been the ultimate source for new information and ideas, that needs to be archived which is lost with time. With the advancements in sciences we are able to conduct this by the technology of Blue Brain to convert real mind data into virtual supercomputer memory. In this paper I discuss on the Blue Brain Project and its strategies, requirements, advantages and limitations. Also, further we discuss its future applications in which the technology can be used after further development of this technology.

Key-Words / Index Term

Blue Brain, Supercomputer, Artificial Intelligence,Neurocomputing, Blue Brain Project, Blue Gene Supercomputer

References

[1] GordonM, ShepherdaJason, JS Mirskya, “The Human Brain Project: neuroinformatics tools for integrating, searching and modeling multidisciplinary neuroscience data” Trends in Neuroscience, Volume 21 Issue 11, November 1998.
[2] Joha Johansson C and Lansner A., “Towards cortex sized artificial neural systems. Towards cortex sized artificial neural systems”. Neural Networks, 2007
[3] S. Eilemann, M. Abdellah, N. Antille, A. Bilgili, G. Chevtchenko, R. Dumusc, C. Favreau, J. Hernando, D. Nachbaur, P. Podhajski, J. Villafranca, F. Schürmann. From Big Data to Big Displays High-Performance Visualization at Blue Brain. Springer. 20 October 2017
[4] Henry Markram, “The Human Brain Project”, Scientific American, a division of Nature America, Inc, Vol 306 No. 6, 2012
[5] Nakul Ghimire, Mr. Fahad Iqbal, “Blue Brain”, International Journal of Computer Science and Information Technology Research, Vol 2 Issue 2, April-June 2014.
[6] Sandberg, Anders; Boström, Nick, “Whole Brain Emulation: A Roadmap” 2008.
[7] Henry Markram, “The Blue Brain Project”, 2006.
[8] M. Abdellah, J. Hernando, N. Antille, S. Eilemann, H. Markram, F. Schürmann. Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies. BMC Bioinformatics, 13 September 2017.