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The US military likes to stay at the forefront of the cutting edge of science — most recently investigating ways they can ‘hack’ the human brain and body to make it die slower, and learn faste r.

But in an unexpected twist, it turns out they’re also interested in pushing the limits of quantum mechanics. The Defence Advanced Research Projects Agency (DARPA) has announced it’s funding research into one of the strangest scientific breakthroughs in recent memory — time crystals.

In case you missed it, time crystals made headlines last year when scientists finally made the bizarre objects in the lab, four years after they were first proposed.

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The renowned physicist Dr. Richard Feynman once said: “What I cannot create, I do not understand. Know how to solve every problem that has been solved.”

An increasingly influential subfield of neuroscience has taken Feynman’s words to heart. To theoretical neuroscientists, the key to understanding how intelligence works is to recreate it inside a computer. Neuron by neuron, these whizzes hope to reconstruct the neural processes that lead to a thought, a memory, or a feeling.

With a digital brain in place, scientists can test out current theories of cognition or explore the parameters that lead to a malfunctioning mind. As philosopher Dr. Nick Bostrom at the University of Oxford argues, simulating the human mind is perhaps one of the most promising (if laborious) ways to recreate—and surpass—human-level ingenuity.

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Perfect vision is great. But like any advantage it comes with limitations. Those with ease don’t develop the same unique senses and strengths as someone who must overcome obstacles, people like Lana Awad, a neurotech engineer at CTRL-labs in New York, who diagnosed her own degenerative eye disease with a high school science textbook as a teen in Syria and went on to teach at Harvard University.

Though they see themselves as clear leaders, visionaries with all the obvious advantages—like Elon Musk and Mark Zuckerberg, for example—can be blind in their way, lacking the context needed to guide if they don’t recognize their counterintuitive limitations. This is problematic for humanity because we’re all relying on them to create the tools that increasingly rule every aspect of our lives. The internet is just the start.

Tools that will meld mind and machine are already a reality. Neurotech is a huge business with applications being developed for gaming, the military, medicine, social media, and much more to come. Neurotech Report projected in 2016 that the $7.6 billion market could reach $12 billion by 2020. Wired magazine called 2017, “a coming-out year for the brain machine interface (BMI).”

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Amazing.


(credit: iStock)

An international team of scientists has developed an algorithm that represents a major step toward simulating neural connections in the entire human brain.

The new algorithm, described in an open-access paper published in Frontiers in Neuroinformatics, is intended to allow simulation of the human brain’s 100 billion interconnected neurons on supercomputers. The work involves researchers at the Jülich Research Centre, Norwegian University of Life Sciences, Aachen University, RIKEN, KTH Royal Institute of Technology, and KTH Royal Institute of Technology.

An open-source neural simulation tool. The algorithm was developed using NEST (“neural simulation tool”) — open-source simulation software in widespread use by the neuroscientific community and a core simulator of the European Human Brain Project. With NEST, the behavior of each neuron in the network is represented by a small number of mathematical equations, the researchers explain in an announcement.

A drug to slow the spread of dementia could be available in three years and a ‘vaccine’ that prevents the disease within a decade, experts say.

  • It is now a matter of ‘when not if’ a cure will be found for Alzheimer’s
  • Last year dementia became Great Britain’s number one cause of death
  • Existing drugs for Alzheimer’s only treat the symptoms, not causes

By Colin Fernandez for the Daily Mail

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A neural circuit mechanism involved in preserving the specificity of memories has been identified by investigators from the Massachusetts General Hospital (MGH) Center for Regenerative Medicine and the Harvard Stem Cell Institute (HSCI).

They also identified a genetic “switch” that can slow down #memory generalization — the loss of specific details over time that occurs in both age-related memory impairment and in post-traumatic stress disorder (#PTSD), in which emotions originally produced by traumatic experiences are elicited in response to innocuous cues that have little resemblance to the traumatic memory.

“The circuit mechanism we identified in mice allows us to preserve the precision or the details of memories over the passage of time in adult as well as aged animals,” says Amar Sahay of the MGH Center for #Regenerative Medicine and HSCI, corresponding author of a paper appearing in Nature Medicine. “These findings have implications for the generalization of traumatic memories in PTSD and for memory imprecision in #aging.”

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