How does complex behavior spontaneously emerge in the brain?
http://phys.org/news/2013-08-complex-behavior-spontaneously-emerge-brain.html
 
 
Quoting from article: In a new study published in Nature Physics, a team of 
researchers from Spain has shown that emergence in neuronal networks can be 
explained as a noise-driven phenomenon that is controlled by the interplay 
between network topology and intrinsic neuronal dynamics. In this scenario, a 
randomly fired pulse propagates through the network and is amplified by noise 
focusing, which the researchers describe as an implosive concentration of 
spontaneous activity. 
 
"From the experimental point of view, we show that in neuronal cultures, the 
emergence early in the development of collective spontaneous activity is 
dominated by the presence of activity waves that initiate in specific regions 
of the culture, in a similar way as it happens in vivo," lead author Javier G. 
Orlandi at the University of Barcelona told Phys.org. "And with the help of 
simulations, we also show that you don't need any special mechanism to explain 
this behavior, just the right combination of network structure and dynamics. 
These waves emerge naturally from the noise focusing effect, in which 
individual firings propagate and concentrate in specific regions to later 
generate these activity waves."


... [and a few paragraphs later]
 
"The view ofemergence in neural networks as a noise-driven phenomenon differs 
from the common view in which the bursts of neuronal pulses are controlled by 
specific leader neurons assisted by the network architecture. In the 
noise-driven explanation,the nucleation sites do not actively initiate the 
firing process, but collect and amplify the firing activity that originated 
elsewhere.
 
 
An example of how outcomes in highly parallel systems are often driven by 
indirect causality. The brain does not just work based on simple cause and 
effect, there is no clear deterministic path that a thought will follow as it 
moves from some triggering sensorial event or memory through all the steps in 
its proto-inception in our pre-conscious minds and finally -- if we ever become 
aware of it -- into the locus of our focused attention. 
 
How these transient synchronized neural firing networks grow and also subside 
-- and based on what feedbacks they gain or lose momentum is of great interest 
to me and seems quite critical -- IMO -- to understanding the algorithms of 
awareness and conscious intelligence. From what I have read the synchronization 
of firing is one of the key ways in which signal is disambiguated from noise by 
the brain. I have also heard that these highly transient dynamic phenomena are 
very numerous and that there are many such firing networks operating at any 
given instant of time.
 
Essentially the algorithm uses the temporal synchronization that is somehow 
settled upon by the firing network -- not clear to me how a firing consensus is 
arrived at -- and that kind of like a Christmas tree where say all the red 
lights flash -- nearly at the same time -- then the green ones and so on. the 
network (defined as color in this case) really visually pops out at you - 
versus trying to put it together if random lights were firing off without being 
synchronized on some time pulse. It is an effective and economical algorithm 
too.
This may be an indication of how the dynamic transient synchronized firing 
network emerge in the first instance, if further study bears the findings out 
in an actual living brain as opposed to a neural culture.
 
Consensus building algorithms also seem to play a vital role brain functioning 
and I have seen studies that indicate the widely distributed consensus networks 
of neurons -- as opposed to being highly clustered within specialized brain 
regions -- seem to be critical in decision making by the brain. Decisions seem 
to be arrived at by consensus building networks of enlisted neurons -- that may 
have other primary functions, but that also seem to be doing double duty by 
becoming enlisted in these transient networks.
 
Who knows at this point how it really all works out, but with each new 
breakthrough and experimental insight we achieve we are beginning to get a 
first picture. I, for one am fascinated to see how it unfolds and to perhaps, 
be among the first generation of people who know how our brains work -- as 
opposed to arguing about how they work from a position of ignorance.
 
 
-Chris

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