Subjective states can be somehow extracted from brains via a computer

2013-01-05 Thread Roger Clough

Subjective states can somehow be extracted from brains via a computer.

The ingenius folks who were miraculously able to extract an image from the brain
that we saw recently 

http://gizmodo.com/5843117/scientists-reconstruct-video-clips-from-brain-activity

somehow did it entirely through computation. How was that possible?

There are at least two imaginable theories, neither of which I can explain step 
by step:

a) Computers are themselves conscious (which can neither be proven nor 
disproven)
and are therefore capable of perception.

or

2) The flesh of the brain is simultaneously objective and subjective. 
Thus an ordinary (by which I mean not conscious) computer can work on it 
objectively yet produce a subjective image by some manipulation of the flesh
of the brain. One perhaps might call this milking of the brain.   

[Roger Clough], [rclo...@verizon.net] 
1/5/2013  
Forever is a long time, especially near the end. - Woody Allen

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Re: Subjective states can be somehow extracted from brains via a computer

2013-01-05 Thread Craig Weinberg


On Saturday, January 5, 2013 10:43:32 AM UTC-5, rclough wrote:


 Subjective states can somehow be extracted from brains via a computer. 


No, they can't.
 


 The ingenius folks who were miraculously able to extract an image from the 
 brain 
 that we saw recently 

 


 http://gizmodo.com/5843117/scientists-reconstruct-video-clips-from-brain-activity
  

 somehow did it entirely through computation. How was that possible? 


By passing off a weak Bayesian regression analysis as a terrific 
consciousness breakthrough. Look again at the image comparisons. There is 
nothing being reconstructed, there is only the visual noise of many 
superimposed shapes which least dis-resembles the test image. It's not even 
stage magic, it's just a search engine.
 


 There are at least two imaginable theories, neither of which I can explain 
 step by step: 



What they did was take lots of images and correlate patterns in the V1 
region of the brain with those that corresponded V1 patterns in others who 
had viewed the known images. It's statistical guesswork and it is complete 
crap.

The computer analyzed 18 million seconds of random YouTube video, building 
a database of potential brain activity for each clip. From all these 
videos, the software picked the one hundred clips that caused a brain 
activity more similar to the ones the subject watched, combining them into 
one final movie

Crick and Koch found in their 1995 study that

The conscious visual representation is likely to be distributed over more 
 than one area of the cerebral cortex and possibly over certain subcortical 
 structures as well. We have argued (Crick and Koch, 1995a) that in 
 primates, contrary to most received opinion, it is not located in cortical 
 area V1 (also called the striate cortex or area 17). Some of the 
 experimental evidence in support of this hypothesis is outlined below. This 
 is not to say that what goes on in V1 is not important, and indeed may be 
 crucial, for most forms of vivid visual awareness. What we suggest is that 
 the neural activity there is not directly correlated with what is seen.


http://www.klab.caltech.edu/~koch/crick-koch-cc-97.html

What was found in their study, through experiments which isolated the 
effects in the brain which are related to looking (i.e. directing your 
eyeballs to move around) from those related to seeing (the appearance of 
images, colors, etc) is that the activity in the V1 is exactly the same 
whether the person sees anything or not. 

What the visual reconstruction is based on is the activity in the 
occipitotemporal visual cortex. (downstream of V1 
http://www.sciencedirect.com/science/article/pii/S0079612305490196)

Here we present a new motion-energy [10,
 11] encoding model that largely overcomes this limitation.
 The model describes fast visual information and slow hemodynamics
 by separate components. We recorded BOLD
 signals in occipitotemporal visual cortex of human subjects
 who watched natural movies and fit the model separately
 to individual voxels. 
 https://sites.google.com/site/gallantlabucb/publications/nishimoto-et-al-2011


So what they did is analogous to tracing the rectangle pattern that your 
eyes make when generally tracing the contrast boundary of a door-like image 
and then comparing that pattern to patterns made by other people's eyes 
tracing the known images of doors. It's really no closer to any direct 
access to your interior state than any data-mining advertiser gets by 
chasing after your web history to determine that you might buy prostate 
vitamins if you are watching a Rolling Stones YouTube.

a) Computers are themselves conscious (which can neither be proven nor 
 disproven) 
 and are therefore capable of perception. 


Nothing can be considered conscious unless it has the capacity to act in 
its own interest. Computers, by virtue of their perpetual servitude to 
human will, are not conscious.
 


 or 

 2) The flesh of the brain is simultaneously objective and subjective. 
 Thus an ordinary (by which I mean not conscious) computer can work on 
 it 
 objectively yet produce a subjective image by some manipulation of the 
 flesh 
 of the brain. One perhaps might call this milking of the brain.   


The flesh of the brain is indeed simultaneously objective and subjective 
(as are all living cells and perhaps all molecules and atoms), but the 
noise comparisons being done in this experiment aren't milking anything but 
the hype machine of pop-sci neuro-fluff. It is cool that they are able to 
refine the matching of patterns in the brain to patterns which can be 
identify computationally, but without the expectation of a visual image 
corresponding to these patterns in the first place, it is meaningless as 
far as understanding consciousness. What it does do though is provide a new 
hunger for invasive neurological technologies to analyze the behavior of 
your brain and draw statistical conclusions from...something which