“It’s clear to everybody that any attempt to understand how the brain works, or ultimately what we might mean by cognition, is so daunting and so large that no one institution could hope to be a stand-alone leader in such an effort,” said Graham Fleming, UC Berkeley vice chancellor for research as scientists from UC Berkeley, UC San Francisco and Lawrence Berkeley National Laboratory revealed their teams’ bold plans to jump-start new brain research.
BRAINseed is a one-of-a-kind collaboration among the three institutions in which each put up $1.5 million over three years to seed innovative but risky research, included basic research in Nanotech and Optogenetics. The collaboration is expected to yield discoveries to accelerate President Barack Obama’s national BRAIN (Brain Research through Advancing Innovative Neurotechnologies) Initiative and California’s own Cal-BRAIN Initiative.
Michel Maharbiz of electrical engineering and computer science describes a project to probe more deeply into the cerebral cortex. Roy Kaltschmidt photo, LBNL.
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It has long been known that happiness depends on many different life circumstances.
Now scientists have developed a mathematical equation that can predict momentary delight. They found that participants were happiest when they performed better than expected during a risk-reward task. Brain scans also revealed that happiness scores correlated with areas known to be important for well-being. The team says the equation, published in PNAS Journal, could be used to look at mood disorders and happiness on a mass scale. It could also help the UK government analyse statistics on well-being, which they have collected since 2010.
From Stanford Medicine News Center
Mice suffering chronic pain undergo a change in brain circuitry that makes them less willing to work for a reward, even though they still want it.
Chronic pain is among the most abundant of all medical afflictions in the developed world. It differs from a short-term episode of pain not only in its duration, but also in triggering in its sufferers a psychic exhaustion best described by the question, “Why bother?”
A new study in mice, conducted by investigators at the Stanford University School of Medicine, has identified a set of changes in key parts of the brain that may explain chronic pain’s capacity to stifle motivation. The discovery could lead to entirely new classes of treatment for this damaging psychological consequence of chronic pain. Read More
Heated debate over a high-profile project of the European Commission to simulate the entire brain on a supercomputer – a long needed “paradigm-shift” in neuroscience, or an over-hyped, over-funded boondoggle destined to fail, at the expense of other smaller, cheaper, less sexy researches?
Researchers say European commission-funded initiative to simulate human brain suffers from ‘substantial failures’
From The Guardian
Many researchers refused to join on the grounds that it was too premature to attempt a simulation of the entire human brain. Photograph: Sebastian Kaulitzki /Alamy
The world’s largest project to unravel the mysteries of the human brain has been thrown into crisis with more than 100 leading researchers threatening to boycott the effort amid accusations of mismanagement and fears that it is doomed to failure.
By Russell Brandom for The Verge
(Images from Facebook’s DeepFace scan)
If you’re worried about Big Brother and computerized facial recognition, this summer has given you plenty of reason to be scared. Law enforcement has been toying with facial recognition for a while, but the FBI is getting set to deploy its own system, called Next Generation Identification (NGI for short), planned to be fully operational this summer. NGI will bring together millions of photos in a central federal database, reaching all 50 states by the end of the year. After years of relative anonymity, it’s easy to think 2014 is the year that law enforcement will finally know you by face. Read More
By Dr Llewellyn Cox, Principal, LieuLabs
On an otherwise unremarkable Saturday in June 2014, a group of computer scientists, public figures, and celebrities gathered at London’s Royal Society. They were all there for one reason — to engage in a text-based chat game to determine if a computer could pass the “iconic” Turing test.
A few hours later, the results were in. Professor Warwick of Reading University announced that a chatbot had successfully tricked 33% of the judges into thinking it was a real boy, and had therefore become the first computer to have passed the Turing test:
It is fitting that such an important landmark has been reached at the Royal Society in London, the home of British science and the scene of many great advances in human understanding over the centuries. This milestone will go down in history as one of the most exciting. — Prof. Kevin Warwick
Within hours, breathless tweets, likes and pins swept across the internet, announcing this amazing result to the world, or at least across the subculture that apparently really f***ing loves science, but doesn’t seem to have much time or inclination toward actual critical analysis. A day or so later came the rebuttals and debunkings from the more inquisitive corners of the online universe. So what really happened, and what does a machine passing a Turing test mean for society?