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Digitizing The Brain

From EverybodyWiki Bios & Wiki

Digitizing the brain[edit]

Digitizing the brain is a hypothetical futuristic paradigm shift aiming to implement the concept of Digital Brain. digitizing the brain consists of capturing brain activity digitally in any form which is possible such as EEG, MEG or MRI in different brain functioning and cognitive states and correlate the digital output to the real world stimuli to simulate [1] how the brain works.now the community claims that expand to over 6 countries.

Background[edit]

Digitizing the brain started in 2014 by Linda Harris and Reza Shiri while working on Digital Nose. after a year they lunched a Facebook page and shared papers about the concept specially in the EEG context. the trends were Long term EEG monitoring[2] and effortless EEG recording[3]. after a while the community began to gather a group of students from different fields such as biomedical engineering, cognitive psychology and artificial intelligence from Italy and Sweden.

Digital Brain[edit]

The Digital Brain[4] is a concept of simulating human brain in digital form. the outputs of the digital brain are identical to the real brain as long as the inputs are the same. no matter what the output is, a complex behavior or a single decision, the digital brain has the capacity to trig a host to reflect the output. it seems to be a more narrowed version of Mind Uploading.

World Largest EEG Database[edit]

in 2016 they announced [5] that the world largest EEG database containing the EEG interpretation of most detailed human emotional architecture and different imagination tasks from motor imagery to the speech imagery is gathered and accessible trough their community.

References[edit]

  1. Scotti, Ariel. "Silicon Valley startup wants to digitize brains in '100% fatal' process  - NY Daily News". nydailynews.com. Retrieved 2018-05-18.
  2. Agarwal, R.; Gotman, J. (2001). "Long-term EEG compression for intensive-care settings". IEEE Engineering in Medicine and Biology Magazine. 20 (5): 23–29. doi:10.1109/51.956816. ISSN 0739-5175.
  3. Nathan, Viswam; Jafari, Roozbeh (October 2015). "Design Principles and Dynamic Front End Reconfiguration for Low Noise EEG Acquisition With Finger Based Dry Electrodes". IEEE Transactions on Biomedical Circuits and Systems. 9 (5): 631–640. doi:10.1109/tbcas.2015.2471080. ISSN 1932-4545.
  4. "The immortalist: Uploading the mind to a computer". BBC News. 2016-03-14. Retrieved 2018-05-18.
  5. Bigdely-Shamlo, Nima; Makeig, Scott; Robbins, Kay A. (2016). "Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach". Frontiers in Neuroinformatics. 10. doi:10.3389/fninf.2016.00007. ISSN 1662-5196.


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