Stories
Slash Boxes
Comments

SoylentNews is people

posted by Fnord666 on Tuesday March 14 2017, @11:21PM   Printer-friendly
from the like-tiny-living-wires dept.

The brain has more computational capacity than previously thought, according to UCLA researchers:

Dendrites have been considered simple passive conduits of signals. But by working with animals that were moving around freely, the UCLA team showed that dendrites are in fact electrically active — generating nearly 10 times more spikes than the soma (neuron cell body). The finding, reported [DOI: 10.1126/science.aaj1497] [DX] in the March 9 issue of the journal Science, challenges the long-held belief that spikes in the soma are the primary way in which perception, learning and memory formation occur.

"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. This is a major departure from what neuroscientists have believed for about 60 years," said Mehta, a UCLA professor of physics and astronomy, of neurology and of neurobiology.

Because the dendrites are nearly 100 times larger in volume than the neuronal centers, Mehta said, the large number of dendritic spikes taking place could mean that the brain has more than 100 times the computational capacity than was previously thought.

Is that your final answer?


Original Submission

 
This discussion has been archived. No new comments can be posted.
Display Options Threshold/Breakthrough Mark All as Read Mark All as Unread
The Fine Print: The following comments are owned by whoever posted them. We are not responsible for them in any way.
  • (Score: 1) by moondoctor on Wednesday March 15 2017, @02:03AM

    by moondoctor (2963) on Wednesday March 15 2017, @02:03AM (#479241)

    Apples and oranges. As you point out, trying to replicate the human brain is silly with our current understanding. Quantum machine learning writing it's own code (or some other approach) however...

    (not dismissing the brain modelling work out of hand, there is great stuff being done these days)