In Silico doesn't look slick, but it is a sharply scripted documentary about an ambitious, billion-euro project to model the intricacies of the human brain – and in just 10 years, says Simon Ings
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Conclusion (~1,700 words).
All backed up by over 200 references (~6,500 words).
We must stop crediting the wrong people for inventions made by others.
Instead let s heed the recent call in the journal
Nature: Let 2020 be the year in which we value those who ensure that
science is self-correcting [SV20].
Like those who know me can testify, finding and citing original sources of scientific and technological innovations is important to me, whether they are mine or other people s [DL1][DL2][HIN][NASC1-9]. The present page is offered as a resource for computer scientists who share this inclination.
By grounding research in its true intellectual foundations and crediting the original inventors,
Computational Model Reveals How the Brain Manages Short-Term Memories
December 17, 2020
Summary: A new computational algorithm shows how the brain maintains information in the short term using specific types of neurons.
Source: Salk Institute
If you’ve ever forgotten something mere seconds after it was at the forefront of your mind–the name of a dish you were about to order at a restaurant, for instance–then you know how important working memory is. This type of short-term recall is how people retain information for a matter of seconds or minutes to solve a problem or carry out a task, like the next step in a series of instructions. But, although it’s critical in our day-to-day lives, exactly how the brain manages working memory has been a mystery.
San Diego Community News Group
Published - 12/19/20 - 09:30 AM | 6311 views | 0
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Terrence Sejnowski, Kay Tye and Ben Tsuda. Credit: Salk Institute slideshow
Getting computers to “think” like humans is the holy grail of artificial intelligence, but human brains turn out to be tough acts to follow. The human brain is a master of applying previously learned knowledge to new situations and constantly refining what’s been learned. This ability to be adaptive has been hard to replicate in machines.
Now, Salk researchers have used a computational model of brain activity to simulate this process more accurately than ever before. The new model mimics how the brain’s prefrontal cortex uses a phenomenon known as “gating” to control the flow of information between different areas of neurons. It not only sheds light on the human brain, but could also inform the design of new artificial intelligence programs.