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Archive for the ‘neuroscience’ category: Page 890

Jan 13, 2016

Brain monitoring takes a leap out of the lab

Posted by in categories: bioengineering, neuroscience, wearables

Bioengineers and cognitive scientists have developed the first portable, 64-channel wearable brain activity monitoring system that’s comparable to state-of-the-art equipment found in research laboratories.

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Jan 12, 2016

Where Will Advanced Brain Mapping Lead Us?

Posted by in categories: bioengineering, biotech/medical, mapping, neuroscience, robotics/AI

In the early days of the space race of the 1960s, NASA used satellites to map the geography of the moon. A better understanding of its geology, however, came when men actually walked on the moon, culminating with Astronaut and Geologist Harrison Schmitt exploring the moon’s surface during the Apollo 17 mission in 1972.

Image credit: Scientific American

Image credit: Scientific American

In the modern era, Dr. Gregory Hickock is one neuroscientist who believes the field of neuroscience is pursuing comparable advances. While scientists have historically developed a geographic map of the brain’s functional systems, Hickock says computational neuroanatomy is digging deeper into the geology of the brain to help provide an understanding of how the different regions interact computationally to give rise to complex behaviors.

“Computational neuroanatomy is kind of working towards that level of description from the brain map perspective. The typical function maps you see in textbooks are cartoon-like. We’re trying to take those mountain areas and, instead of relating them to labels for functions like language, we’re trying to map them on — and relate them to — stuff that the computational neuroscientists are doing.”

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Jan 10, 2016

Human v2.0

Posted by in categories: computing, neuroscience

https://www.youtube.com/watch?v=UApWUAIyOjM

Visit: http://www.spaceandintelligence.com
https://www.facebook.com/SpaceAndIntelligence

Meet the scientific prophets who claim we are on the verge of creating a new type of human — a human v2.0. At a certain moment in the future computer intelligence will equal the power of the human brain. Some believe this will revolutionise humanity — we would be able to download our minds to computers extending our lives indefinitely. Others fear this will lead to oblivion by giving rise to destructive ultra intelligent machines. One thing they all agree on is that the coming of this moment — and whatever it brings — is inevitable.

Originally published in 2006 by BBC Horizon.

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Jan 9, 2016

5 Biotech Predictions for 2016

Posted by in categories: biotech/medical, neuroscience

Truly a potential bummer for Car-T as a result of the risk in creating immune defiancy disease such as CRS.


A win and loss for marijuana, a big advance in Alzheimer’s disease, and the next big thing are among some of the market-moving things I expect to see happen this year.

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Jan 8, 2016

DEF CON 24 Homework Begins!

Posted by in categories: entertainment, neuroscience

As you know, DEF CON 24’s theme is “Rise of the Machines”. To help you get up to speed on some of the ideas that inspired the theme, and get you thinking about the looming conflict between human and machine intelligences, we’re going to post some books, movies, and other media you might want to check out in advance of the con.

This is the first book post — there will …be more. If you have others you think would be worth looking over before the con, share in the comments!

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Jan 7, 2016

A No Brainer? New Survey Indicates A Majority May Support Healthy Longevity

Posted by in categories: health, life extension, neuroscience

A new survey has discovered a fear of frailty likely prevents widespread support of longevity, but if health is combined with years then it could well be a popular option.

Healthy longevity may convince people

According to the new survey, out of 1500 people 74.4% wished to live to 120 or longer if health was guaranteed, but only 57.4% wished to live that long if it wasn’t.

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Jan 6, 2016

Using Genes to Understand the Brain’s Building Blocks

Posted by in category: neuroscience

Here’s a brief video explaining how our researchers are using single-cell gene expression to classify cell types in the brain. The research was published online today in Nature Neuroscience.

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Jan 4, 2016

Researchers awarded $16m to develop brain tech to reanimate paralyzed limbs

Posted by in categories: biotech/medical, neuroscience

Researchers from the US will use the funds to create tech for those with spinal cord injuries and other debilitating conditions.

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Jan 2, 2016

The First International Beauty Contest Judged By Robots

Posted by in categories: information science, life extension, neuroscience, robotics/AI, transportation

“You like your Tesla, but does your Tesla like you?” My new story for TechCrunch on robots understanding beauty and even whether they like your appearance or not:


Robots are starting to appear everywhere: driving cars, cooking dinners and even as robotic pets.

But people don’t usually give machine intelligence much credence when it comes to judging beauty. That may change with the launch of the world’s first international beauty contest judged exclusively by a robot jury.

Continue reading “The First International Beauty Contest Judged By Robots” »

Dec 31, 2015

Human-machine superintelligence can solve the world’s most dire problems

Posted by in categories: climatology, computing, neuroscience, sustainability

The combination of human and computer intelligence might be just what we need to solve the “wicked” problems of the world, such as climate change and geopolitical conflict, say researchers from the Human Computation Institute (HCI) and Cornell University.

In an article published in the journal Science, the authors present a new vision of human computation (the science of crowd-powered systems), which pushes beyond traditional limits, and takes on hard problems that until recently have remained out of reach.

Humans surpass machines at many things, ranging from simple pattern recognition to creative abstraction. With the help of computers, these cognitive abilities can be effectively combined into multidimensional collaborative networks that achieve what traditional problem-solving cannot.

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