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SURVEY OF ILE TECHNOLOGIES V1.0. functionalism of consciousness qualia has no direct physical correlate a computer simulating the brain will be conscious.

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Presentation on theme: "SURVEY OF ILE TECHNOLOGIES V1.0. functionalism of consciousness qualia has no direct physical correlate a computer simulating the brain will be conscious."— Presentation transcript:


2 functionalism of consciousness qualia has no direct physical correlate a computer simulating the brain will be conscious PHILOSOPHY

3 a computer simulation executing just 1 instruction per 1000000 years will experience the same qualitative consciousness as the brain qualia does not depend on space- or time- scale SPACE-TIME

4 Jonah is fully conscious inside the whale his consciousness does not contribute to the whales consciousness qualia does not depend on substrate SUBSTRATE

5 there is no clear-cut distinction between life and death in post-upload world substrate-hopping will be the norm LIFE IS INFORMATION PATTERN


7 in ~10-80 years computer = human brain in power explosive increase in computational intelligence will bring disruptive change identity crisis for human race PROPHECY

8 sexual reproduction is not necessarily the most competitive / desirable technological progress will continue, driven by human desires balance between desirability and competitiveness SEXUAL REPRODUCTION

9 NEED OF INTERFACING artificial intelligence & intelligence augmentation AI / IA uploads seamless integration meat brains AI / IA

10 AI anti-aging biological offspring gradual integration blank-slate emulation uploadingAI

11 cryonics 1. uploading / neuroprosthesis 2. anti-ageing 2 APPROACHES TO IMMORTALISM

12 UPLOADING transfer memories and personality to computer brain will be destroyed during scanning philosophically sound but somewhat unnatural

13 OBSTICLES 1.insufficient computational power ( computational power of brain = ? ) 2.incomplete understanding of neurobiology 3.uploads will not be accepted without high confidence of isomorphism with biology 4.funding is a problem (uploading cannot be done partially; lack of an incremental strategy)

14 BRAIN EMULATION requires: 1.electrophysiology (spiking models) 2.neural plasticity (modeling @ molecular level) 3.brain connectivity map (scanning) 4.whole-brain neurochemical database (automated bioassay)

15 1. ELECTROPHYSIOLOGY electrophysiology is relatively well- understood realistic models tend to have too many parameters dimensionality reduction: apply statistical analysis to highly realistic computer models to automatically reduce # of parameters

16 2. NEUROBIOLOGY simplify molecular models memory encoded @ molecular level? proteomics required neural plasticity (especially synaptic) is not fully understood complete elucidation of 1 pathway to give estimate of total complexity



19 PRESERVING MEMORY scanning, vitrification, and reconstruction may introduce artifacts still, scanning is the best for preserving information vs other methods forgetting can be adaptive – selective forgetting is preferred

20 SOFT UPLOADING gradual replacement of the brain with bionic components


22 ALGORITHM Perceptron learning: progressively adjusts line to divide plane according to sign of error extends to hyperplane and hypercube in higher dimensions (n = # synapses) generalizes to gradient descent on high- dimensional landscape (cost function) for non-linear models 1 11 1 11 0 0 0 0 0

23 ANTI-AGING body is relatively unimportant within ~10-50 yrs all parts of the body can be replaced by synthetic / biological technologies heart, liver, blood, immune system, etc… except the brain

24 BRAIN AGING myriad cellular processes pathways mostly unknown replacement is more feasible than repairing progressive deviation from optimality

25 BRAIN REJUVENATION requirements: 1. integration with host 2. suppression of rejection 3. innervation of targets – requires re-expression of developmental cues 4.proper neurochemical function

26 AVAILABLE TECHNIQUES 1. xenotransplantation 2. neural stem cells 3. regeneration 4. neurogenesis 5. genetic approaches 6. nanomedicine

27 1. XENOTRANSPLANTATION recent progress: immunosuppression of host immunomodification of graft integration with host synapse formation

28 2. NEURAL STEM CELLS recent progress: long-range innervation from implant to host cryopreservation developmental niche is lost in adult brain

29 3. REGENERATION 1. facilitate axonal regeneration using Schwann cells and olfactory enshealthing cells 2. applicable to spinal cord injuries and peripherals

30 sub-ventricular zone (SVZ) in hippocampus, and migrate to cortex up-regulate to replenish neurons in the brain 4. ADULT NEUROGENESIS

31 4. GENETIC APPROACHES use of retroviral vectors to modify genetic code modification of the cells neurochemical properties such as axonal guidance

32 5. NANOMEDICINE requires sophisticated nanotechnology which is uncertain may become unnecessary because of uploading

33 CONCLUSION high-complexity road blocks in both approaches: uploading: neural plasticity & information-encoding at molecular level is murky brain rejuvenation: re-creation of developmental niche

34 linear approach is bound to fail success

35 must concentrate resources to systematically solve problem complexity barrier funding

36 © Dec/2003

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