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Machines in minds toreverse engineer themachine that is mind     Randal A. Koene     Carboncopies.org                     ...
DYSTOPIA           2
SELECTION            3
EMPATHY          4
CHALLENGES             5
AUGMENTED            6
BEING        7
SUBSTRATE-INDEPENDENTMINDS                 WHOLE                  BRAIN              EMULATION8
9
ROADMAPREQUIREMENTS               10
SCOPERESOLUTION             11
EMULATIONPLATFORM    80 million ATP per action            potential            Brain: 20-40W (20-44% of            body)  ...
STRUCTURALCONNECTOME             13
14
15
FUNCTIONALCHARACTERIZATION                   16
MOLECULARTICKER TAPE      Kording (Northwestern), Boyden (MIT), Church (Harvard), Koene   17
MACHINESIN MINDS           Gomez-Martinez et al. (2009)                                    18
19
TEAMNETWORK          2um   1um                      20
Thank You    carboncopies.orgrandal.a.koene@carboncopies.org                                  21
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Machines in Minds to Reverse engineer the Machine that is Mind

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TEDxTallinn 2012 talk by Dr. Randal A. Koene. The talk has also been published as an article under the title "A Window of Opportunity". For more information see http://carboncopies.org/a-window-of-opportunity

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Machines in Minds to Reverse engineer the Machine that is Mind

  1. 1. Machines in minds toreverse engineer themachine that is mind Randal A. Koene Carboncopies.org 1
  2. 2. DYSTOPIA 2
  3. 3. SELECTION 3
  4. 4. EMPATHY 4
  5. 5. CHALLENGES 5
  6. 6. AUGMENTED 6
  7. 7. BEING 7
  8. 8. SUBSTRATE-INDEPENDENTMINDS WHOLE BRAIN EMULATION8
  9. 9. 9
  10. 10. ROADMAPREQUIREMENTS 10
  11. 11. SCOPERESOLUTION 11
  12. 12. EMULATIONPLATFORM 80 million ATP per action potential Brain: 20-40W (20-44% of body) Average action potential takes 1.5ms About 4nW per event Supports 7 billion concurrent events Average rate 4-7Hz... 470 billion events/s 12
  13. 13. STRUCTURALCONNECTOME 13
  14. 14. 14
  15. 15. 15
  16. 16. FUNCTIONALCHARACTERIZATION 16
  17. 17. MOLECULARTICKER TAPE Kording (Northwestern), Boyden (MIT), Church (Harvard), Koene 17
  18. 18. MACHINESIN MINDS Gomez-Martinez et al. (2009) 18
  19. 19. 19
  20. 20. TEAMNETWORK 2um 1um 20
  21. 21. Thank You carboncopies.orgrandal.a.koene@carboncopies.org 21

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