www.amazon.com/author/paulbabicki
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In the last couple of years, human brain communication via the Internet has been pioneered.
Needless to say, good Netiquette was observed!
Seeing the article below would seem to make it plausible that this could be taken to far greater sophistication.
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Why our brains
may be 100 times more powerful than believed
http://newatlas.com Michael
Franco
March 10th, 2017
The dendrites in our brain have been
underestimated for 60 years says a new study.
A new study out of the University of
California Los Angeles (UCLA) has found that one part of the neurons in our
brains is more active than previously revealed. The finding implies that our
brains are both analog and digital computers and could lead to better ways to
treat neurological disorders.
The focus of the study was the
dendrites, long branch-like structures that attach to a roundish body called
the soma to form neurons. It was previously believed that dendrites were
nothing more than conduits that sent spikes of electrical activity generated in
the soma to other neurons. But the study has shown that the dendrites
themselves are highly active, sending spikes of their own at a rate 10 times
that previously believed.
The finding runs counter to the
long-held belief that somatic spikes were the main way we learn and form
memories and perceptions
"Dendrites make up more than 90
percent of neural tissue," said UCLA neurophysicist Mayank Mehta, the
study's senior author. "Knowing they are much more active than the soma
fundamentally changes the nature of our understanding of how the brain computes
information. It may pave the way for understanding and treating neurological
disorders, and for developing brain-like computers."
The researchers also found that
unlike the spikes of electrical activity generated by the somas, the dendrites
could put out longer-lasting voltages that in their sum total were actually
more powerful than the somatic spikes. They say the spikes are like digital
computing in that they are all-or-nothing events, while the dendritic flows are
akin to analog computing.
"We found that dendrites are
hybrids that do both analog and digital computations, which are therefore
fundamentally different from purely digital computers, but somewhat similar to
quantum computers that are analog," said Mehta. "A fundamental belief
in neuroscience has been that neurons are digital devices. They either generate
a spike or not. These results show that the dendrites do not behave purely like
a digital device. Dendrites do generate digital, all-or-none spikes, but they
also show large analog fluctuations that are not all or none. This is a major
departure from what neuroscientists have believed for about 60 years."
Mehta adds that the fact that
dendrites are about 100 times larger in volume than somas, it's possible that
our brains have 100 times more capacity to compute information than previously
believed.
In making their discovery, the UCLA
team was able to implant electrodes in the brains of rats that went next to
dendrites. This was a departure from previous work where the sensors went
straight into the dendrites, killing them and making their activity impossible
to measure. They found that the dendrites were five times more active than the
somas when the rats were sleeping, and 10 times more active when they were
awake and moving about.
The discovery shows that learning
likely takes place with more flexibility than previously believed.
"Many prior models assume that
learning occurs when the cell bodies of two neurons are active at the same
time," said Jason Moore, a UCLA postdoctoral researcher and the study's
first author. "Our findings indicate that learning may take place when the
input neuron is active at the same time that a dendrite is active — and it
could be that different parts of dendrites will be active at different times,
which would suggest a lot more flexibility in how learning can occur within a
single neuron."
"Due to technological
difficulties, research in brain function has largely focused on the cell
body," added Mehta. "But we have discovered the secret lives of
neurons, especially in the extensive neuronal branches. Our results substantially
change our understanding of how neurons compute."
The research has been published in the journal Science.
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