
Open Your Mind to the New Psychedelic Science
‘The illegality of these drugs … is one of the greatest scandals in modern research’
Greg Miller over WiredScience writes an enticing piece on the development of psychedelic drug usage not just as a recreational activity but also for psychological health benefits. I picked out my favorite excerpts from the article but I recommend going over and reading the whole thing:
“Now that we’ve been able to start getting some evidence on the benefits, it changes people’s calculus,” said Rick Doblin, the founder and executive director of the Multidisciplinary Association for Psychedelic Studies (MAPS), one of the meeting’s sponsors.
Doblin and MAPS have been battling regulators since the mid-80s to allow research and clinical trials with psychedelics. The recent revival of psychedelic science may be one sign their efforts are finally paying off.
Public attitudes towards illegal drugs in general may be shifting. A recent Pew Research Center survey, for example, found for the first time that more than half of Americans think marijuana should be legal. Baby boomers in particular, who may have hidden their stash while raising kids, seem to be loosening up in their old age, the survey found.
The interest in psychedelics may also have something to do with a growing sense of frustration over the lack of promising new psychiatric drugs in the pipeline. Many of the current drugs are based on compounds discovered serendipitously in the 1950s, and true innovation has been so hard to come by that many companies are giving up.
Meanwhile, people have been using hallucinogens for centuries, often in religious healing ceremonies, and yes, sometimes just for the hell of it. But just because they’re party drugs for some doesn’t mean they can’t be the subject of serious scientific inquiry. Or does it? After all, it didn’t end so well the first time around.
From its inception in 2010, the Psychedelic Science meeting has brought together an interesting mix of people. A record 1,800 of them attended this year. The prevalence of ponytails, nose rings and hemp accessories is predictably higher than at a typical science conference. There was also a tea lounge, a psychedelic art gallery, and a quiet room for anyone in need of riding out a rough trip.
“Absolutely some scientists would see the rainbow colors on the logo and the psychedelic art exhibits and say ‘that’s not real science,’” said Brad Burge, the communication director for MAPS. At the same time, some of the more mystically inclined devotees of psychedelics are averse to the scientific dissection of what they see as a sacred experience, Burge says. The conference isn’t for the folks at those ends of the spectrum.
Burge acknowledges there’s a tricky balancing act involved in hosting a forum for scientists who want their work to be taken seriously without excluding those who use psychedelic drugs recreationally. Even so, “we’re trying to get around the idea that there has to be a separation,” he said.
After all, this latter group helps fund much of the research through their donations to MAPS and other private organizations like the Heffter Research Institute and Beckley Foundation. Government funders like the National Institutes of Health are still skittish about psychedelic research.
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Dráulio Barros de Araújo, a neuroscientist at the Brain Institute at the Universidade Federal do Rio Grande do Norte in Brazil, presented new findings from an fMRI brain scan study with 10 experienced ayahuasca users, followers of Santo Daime, a spiritual practice that uses the brew.
Araújo’s team found that ayahuasca reduces neural activity in something called the default mode network, an web of interconnected brain regions that fire up whenever people aren’t focused on any specific task. It’s active when people daydream or let their minds wander, for example.
The default mode network has been a hot topic in neuroscience in recent years. Scientists don’t really know what it does, but they love to speculate. One interpretation is that activity in this network may represent what we experience as our internal monologue and may help generate our sense of self.

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![Artificial Brain Mimics Human Abilities and Flaws
Side Note: I recommend this fascinating article for anyone who’s been as interested in developments of the brain in the past couple of weeks or in general and the refreshing data about how our pattern recognition works and how it can lead to not only a better understanding of our own minds but also a better understanding into building more accurate artificial intelligence in robots. The accuracy and how natural the intelligence comes off is important if we are to have robots that work for and aid us, if we are to have extensions of what our technology can do with what we know about the human body and brain I think robotics is one way to go about it. It’s like using technology as a canvas and expressing our own biological makeup through it. In this article LS gets into a new software model that accurately replicates certain human-like mistakes with a very limited amount of virtual pattern recognizers. Excuse me for leaving the whole bit of the article I just found it too interesting to leave anything out.
Spaun, a new software model of a human brain, is able to play simple pattern games, draw what it sees and do a little mental arithmetic. It powers everything it does with 2.5 million virtual neurons, compared with a human brain’s 100 billion. But its mistakes, not its abilities, are what surprised its makers the most, said Chris Eliasmith, an engineer and neuroscientist at the University of Waterloo in Canada.
Ask Spaun a question, and it hesitates a moment before answering, pausing for about as long as humans do. Give Spaun a list of numbers to memorize, and it falters when the list gets too long. And Spaun is better at remembering the numbers at the beginning and end of a list than at recalling numbers in the middle, just like people are.
“There are some fairly subtle details of human behavior that the model does capture,” said Eliasmith, who led the development of Spaun, or the Semantic Pointer Architecture Unified Network. “It’s definitely not on the same scale [as a human brain],” he told TechNewsdaily. “It gives a flavor of a lot of different things brains can do.”
Eliasmith and his team of Waterloo neuroscientists say Spaun is the first model of a biological brain that performs tasks and has behaviors. Because it is able to do such a variety of things, Spaun could help scientists understand how humans do the same, Eliasmith said. In addition, other scientists could run simplified simulations of certain brain disorders or psychiatric drugs using Spaun, he said.
A brain with thought and action
Researchers have made several brain models that are more powerful than Spaun. The Blue Brain model at the Ecole Polytechnique Fédérale de Lausanne in France has 1 million neurons. IBM’s SyNAPSE project has 1 billion neurons. Those models aren’t built to perform a variety of tasks, however, Eliasmith said.
Spaun is programmed to respond to eight types of requests, including copying what it sees, recognizing numbers written with different handwriting, answering questions about a series of numbers and finishing a pattern after seeing examples.
Spaun’s myriad skills could shed light on the flexible, variable human brain, which is able to use the same equipment to control typing, biking, driving, flying airplanes and countless other tasks, Eliasmith said. That knowledge, in turn, could help scientists add flexibility to robots or artificial intelligence, he said. Artificial intelligence now usually specializes in doing only one thing, such as tagging photos or playing chess. “It can’t figure out to switch between those things,” he said.
In addition, artificial intelligence isn’t built to mimic the cellular structure of human brains as closely as Spaun and other brain models do. Because Spaun runs more like a human brain, other researchers could use it to run health experiments that would be unethical in human study volunteers, Eliasmith said. He recently ran a test in which he killed off the neurons in a brain model at the same rate that neurons die in people as they age, to see how the dying off affected the model’s performance on an intelligence test.
Such tests would have to be just first steps in a longer experiment, Eliasmith said. The human brain is so much more complex than models that there’s a limit to how much models are able to tell researchers. As scientists continue to improve brain models, the models will become better proxies for health studies, he said.
Next up: a brain in real time
There’s one major way Spaun differs from a human brain. It takes a lot of computingpower to perform its little tasks. Spaun runs on a supercomputer at the University of Waterloo, and it takes the computer two hours to run just one second of a Spaun simulation, Eliasmith said.
So Eliasmith’s next major step for improving Spaun is developing hardware that lets the model work in real time. He’ll cooperate with researchers at the University of Manchester in the U.K. and hopes to have something ready in six months, he said.
In the far future, people may find Spaun’s humanlike flaws deliberately built into robot assistants, Eliasmith said. “Those kinds of features are important in a way because if we’re interacting with an agent and it has a kind of memory that we’re familiar with, it’ll more natural to interact with,” he added.
Eliasmith and his colleagues published their latest paper about Spaun today (Nov. 29) in the journal Science.](http://24.media.tumblr.com/tumblr_megq2hgNk41qbn5m1o1_500.jpg)




