A.I. can predict your future tweets by looking at your friends’ accounts
A new study shows how machine-learning methods could examine your friends' past tweets to accurately predict your future behavior online.
- The study examined the past tweets of hundreds of Twitter users, each within a particular social circle, in order to see how accurate of predictions it's possible to make with machine-learning techniques.
- The results showed that machine-learning techniques can predict the future Twitter activity of a given user by looking only at about 9 of their friends, and that these predictions are about as accurate as predictions made with the benefit of looking at the user's past writings.
- The findings have troubling implications for online privacy, namely that, in theory, not even leaving Facebook or Twitter would prevent someone from generating an accurate profile of you.
It's probably not much of a surprise to know it's possible to take all of your past writings from Twitter, have a computer examine them, and then have it make a pretty accurate prediction about the types of content you're likely to write in the future. What's more surprising, however, is what a new study shows: It's possible for an A.I. to accurately predict someone's Twitter activity by looking only at the online behavior of a handful of that person's friends.
The results highlight a troubling implication: Not even deleting your Twitter or Facebook account would theoretically prevent someone from developing a profile on you — one that, as the study suggests, could be quite accurate:
"The ability of a machine learning method to accurately profile individuals from their online traces is reflected in the predictability of their written text."
The study, published in the journal Nature Human Behavior, was designed to find out just how accurate of predictions it's theoretically possible for machine-learning methods to make about a person's future social media activity by using data on people within their social network.
"We used some very interesting mathematics from information theory to say: If you had the perfect machine learning method, how well could you do?" lead author James Bagrow, a data scientist at the University of Vermont, told Science Magazine.
Here's a summary of how a machine-learning technique would make such predictions, as the study authors wrote:
The ability of a machine learning method to accurately profile individuals from their online traces is reflected in the predictability of their written text. Indeed, with a language model trained to predict the words a user will post online, in principle, one can construct a profile of the user by evaluating the likelihoods of various words to be posted, such as terms related to politics. Thus, quantifying the predictive information contained within a user's text allows us to understand the potential accuracy such methods can potentially achieve given a user's data.
For the study, the researchers looked at more than 30 million posts from about 13,900 Twitter users, each of whom had 50 to 500 followers. From these data sets they designated 927 so-called ego networks, at the center of which was a Twitter user and about 9 of their most frequently mentioned Twitter contacts. The researchers then looked at all of the users' past writings, categorizing them based on the contents and timings of the tweets, finding that users typically only used between 45 and 256 different words to compose tweets, which is "far smaller than the typical user's ~5,000-word vocabulary," the authors wrote. This limited range makes it relatively easy to predict words users are likely to write.
After conducting various tests, the results showed that machine-learning techniques could achieve 95% potential predictive accuracy for a given person using their social ties alone, without examining that individual's personal Twitter data. Although the study didn't actually predict specific tweets, the study illustrates the striking amount of predictive information about us that lies within our social groups.
One interesting note about the findings: Generally, when researchers were gauging the potential predictive accuracy for a given user, the accuracy increased as they added more friends of the user to the mathematical mix. But at a certain point, adding new friends stopped increasing accuracy. Interestingly, the authors wrote that this limit seems compatible with Dunbar's number, which describes how human beings can generally only maintain about 150 social ties. Or, as Dunbar explained, it's "the number of people you would not feel embarrassed about joining uninvited for a drink if you happened to bump into them in a bar."
In online privacy, your friends have control over your data
In an age when many are already worried about the lack of control they wield over their personal data, the study implies that even total control over our own data might be irrelevant if an organization can build an accurate profile of you by using your friends' data alone. In other words, even leaving Facebook or Twitter theoretically wouldn't prevent someone gathering reliable information about your political leanings, consumer habits, religious beliefs, etc.
"There's no place to hide in a social network," Lewis Mitchell, a co-author on the new study, told The University of Vermont's UVM Today.
Another implication: When you make your data accessible, you're also potentially exposing the data of those to whom you're connected, as Bagrow told Science Magazine:
"When they give up their own data, they're also giving up data on their friends," Bagrow said. "What we think is an individual choice in a social network is not really."
Of course, some people's online activity is harder to predict than others, and Twitter may prove to be a unique platform in terms of the ability for machine-learning techniques to predict behavior. Still, as long as it's possible to make such predictions, it's not hard to see how platforms like Twitter could, either unwittingly or negligently, cause damage by using this kind of information to expand its product, as the authors wrote:
"Language models derived in this way can have important consequences: combining predictions from a language model with an algorithm for recommending new social ties, for example, has the potential to create or exacerbate filter bubbles."
Join Radiolab's Latif Nasser at 1pm ET today as he chats with Malcolm Gladwell live on Big Think.
Astronomers find these five chapters to be a handy way of conceiving the universe's incredibly long lifespan.
- We're in the middle, or thereabouts, of the universe's Stelliferous era.
- If you think there's a lot going on out there now, the first era's drama makes things these days look pretty calm.
- Scientists attempt to understand the past and present by bringing together the last couple of centuries' major schools of thought.
The 5 eras of the universe<p>There are many ways to consider and discuss the past, present, and future of the universe, but one in particular has caught the fancy of many astronomers. First published in 1999 in their book <a href="https://amzn.to/2wFQLiL" target="_blank"><em>The Five Ages of the Universe: Inside the Physics of Eternity</em></a>, <a href="https://en.wikipedia.org/wiki/Fred_Adams" target="_blank">Fred Adams</a> and <a href="https://en.wikipedia.org/wiki/Gregory_P._Laughlin" target="_blank">Gregory Laughlin</a> divided the universe's life story into five eras:</p><ul><li>Primordial era</li><li>Stellferous era</li><li>Degenerate era</li><li>Black Hole Era</li><li>Dark era</li></ul><p>The book was last updated according to current scientific understandings in 2013.</p><p>It's worth noting that not everyone is a subscriber to the book's structure. Popular astrophysics writer <a href="https://www.forbes.com/sites/ethansiegel/#30921c93683e" target="_blank">Ethan C. Siegel</a>, for example, published an article on <a href="https://www.forbes.com/sites/startswithabang/2019/07/26/we-have-already-entered-the-sixth-and-final-era-of-our-universe/#7072d52d4e5d" target="_blank"><em>Medium</em></a> last June called "We Have Already Entered The Sixth And Final Era Of Our Universe." Nonetheless, many astronomers find the quintet a useful way of discuss such an extraordinarily vast amount of time.</p>
The Primordial era<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yMjkwMTEyMi9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYyNjEzMjY1OX0.PRpvAoa99qwsDNprDme9tBWDim6mS7Mjx6IwF60fSN8/img.jpg?width=980" id="db4eb" class="rm-shortcode" data-rm-shortcode-id="0e568b0cc12ed624bb8d7e5ff45882bd" data-rm-shortcode-name="rebelmouse-image" />
Image source: Sagittarius Production/Shutterstock<p> This is where the universe begins, though what came before it and where it came from are certainly still up for discussion. It begins at the Big Bang about 13.8 billion years ago. </p><p> For the first little, and we mean <em>very</em> little, bit of time, spacetime and the laws of physics are thought not yet to have existed. That weird, unknowable interval is the <a href="https://www.universeadventure.org/eras/era1-plankepoch.htm" target="_blank">Planck Epoch</a> that lasted for 10<sup>-44</sup> seconds, or 10 million of a trillion of a trillion of a trillionth of a second. Much of what we currently believe about the Planck Epoch eras is theoretical, based largely on a hybrid of general-relativity and quantum theories called quantum gravity. And it's all subject to revision. </p><p> That having been said, within a second after the Big Bang finished Big Banging, inflation began, a sudden ballooning of the universe into 100 trillion trillion times its original size. </p><p> Within minutes, the plasma began cooling, and subatomic particles began to form and stick together. In the 20 minutes after the Big Bang, atoms started forming in the super-hot, fusion-fired universe. Cooling proceeded apace, leaving us with a universe containing mostly 75% hydrogen and 25% helium, similar to that we see in the Sun today. Electrons gobbled up photons, leaving the universe opaque. </p><p> About 380,000 years after the Big Bang, the universe had cooled enough that the first stable atoms capable of surviving began forming. With electrons thus occupied in atoms, photons were released as the background glow that astronomers detect today as cosmic background radiation. </p><p> Inflation is believed to have happened due to the remarkable overall consistency astronomers measure in cosmic background radiation. Astronomer <a href="https://www.youtube.com/watch?v=IGCVTSQw7WU" target="_blank">Phil Plait</a> suggests that inflation was like pulling on a bedsheet, suddenly pulling the universe's energy smooth. The smaller irregularities that survived eventually enlarged, pooling in denser areas of energy that served as seeds for star formation—their gravity pulled in dark matter and matter that eventually coalesced into the first stars. </p>
The Stelliferous era<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yMjkwMTEzNy9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYxMjA0OTcwMn0.GVCCFbBSsPdA1kciHivFfWlegOfKfXUfEtFKEF3otQg/img.jpg?width=980" id="bc650" class="rm-shortcode" data-rm-shortcode-id="c8f86bf160ecdea6b330f818447393cd" data-rm-shortcode-name="rebelmouse-image" />
Image source: Casey Horner/unsplash<p>The era we know, the age of stars, in which most matter existing in the universe takes the form of stars and galaxies during this active period. </p><p>A star is formed when a gas pocket becomes denser and denser until it, and matter nearby, collapse in on itself, producing enough heat to trigger nuclear fusion in its core, the source of most of the universe's energy now. The first stars were immense, eventually exploding as supernovas, forming many more, smaller stars. These coalesced, thanks to gravity, into galaxies.</p><p>One axiom of the Stelliferous era is that the bigger the star, the more quickly it burns through its energy, and then dies, typically in just a couple of million years. Smaller stars that consume energy more slowly stay active longer. In any event, stars — and galaxies — are coming and going all the time in this era, burning out and colliding.</p><p>Scientists predict that our Milky Way galaxy, for example, will crash into and combine with the neighboring Andromeda galaxy in about 4 billion years to form a new one astronomers are calling the Milkomeda galaxy.</p><p>Our solar system may actually survive that merger, amazingly, but don't get too complacent. About a billion years later, the Sun will start running out of hydrogen and begin enlarging into its red giant phase, eventually subsuming Earth and its companions, before shrining down to a white dwarf star.</p>
The Degenerate era<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yMjkwMTE1MS9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYxNTk3NDQyN30.gy4__ALBQrdbdm-byW5gQoaGNvFTuxP5KLYxEMBImNc/img.jpg?width=980" id="77f72" class="rm-shortcode" data-rm-shortcode-id="08bb56ea9fde2cee02d63ed472d79ca3" data-rm-shortcode-name="rebelmouse-image" />
Image source: Diego Barucco/Shutterstock/Big Think<p>Next up is the Degenerate era, which will begin about 1 quintillion years after the Big Bang, and last until 1 duodecillion after it. This is the period during which the remains of stars we see today will dominate the universe. Were we to look up — we'll assuredly be outta here long before then — we'd see a much darker sky with just a handful of dim pinpoints of light remaining: <a href="https://earthsky.org/space/evaporating-giant-exoplanet-white-dwarf-star" target="_blank">white dwarfs</a>, <a href="https://earthsky.org/space/new-observations-where-stars-end-and-brown-dwarfs-begin" target="_blank">brown dwarfs</a>, and <a href="https://earthsky.org/astronomy-essentials/definition-what-is-a-neutron-star" target="_blank">neutron stars</a>. These"degenerate stars" are much cooler and less light-emitting than what we see up there now. Occasionally, star corpses will pair off into orbital death spirals that result in a brief flash of energy as they collide, and their combined mass may become low-wattage stars that will last for a little while in cosmic-timescale terms. But mostly the skies will be be bereft of light in the visible spectrum.</p><p>During this era, small brown dwarfs will wind up holding most of the available hydrogen, and black holes will grow and grow and grow, fed on stellar remains. With so little hydrogen around for the formation of new stars, the universe will grow duller and duller, colder and colder.</p><p>And then the protons, having been around since the beginning of the universe will start dying off, dissolving matter, leaving behind a universe of subatomic particles, unclaimed radiation…and black holes.</p>
The Black Hole era<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yMjkwMTE2MS9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYzMjE0OTQ2MX0.ifwOQJgU0uItiSRg9z8IxFD9jmfXlfrw6Jc1y-22FuQ/img.jpg?width=980" id="103ea" class="rm-shortcode" data-rm-shortcode-id="f0e6a71dacf95ee780dd7a1eadde288d" data-rm-shortcode-name="rebelmouse-image" />
Image source: Vadim Sadovski/Shutterstock/Big Think<p> For a considerable length of time, black holes will dominate the universe, pulling in what mass and energy still remain. </p><p> Eventually, though, black holes evaporate, albeit super-slowly, leaking small bits of their contents as they do. Plait estimates that a small black hole 50 times the mass of the sun would take about 10<sup>68</sup> years to dissipate. A massive one? A 1 followed by 92 zeros. </p><p> When a black hole finally drips to its last drop, a small pop of light occurs letting out some of the only remaining energy in the universe. At that point, at 10<sup>92</sup>, the universe will be pretty much history, containing only low-energy, very weak subatomic particles and photons. </p>
The Dark Era<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yMjkwMTE5NC9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTY0Mzg5OTEyMH0.AwiPRGJlGIcQjjSoRLi6V3g5klRYtxQJIpHFgZdZkuo/img.jpg?width=980" id="60c77" class="rm-shortcode" data-rm-shortcode-id="7a857fb7f0d85cf4a248dbb3350a6e1c" data-rm-shortcode-name="rebelmouse-image" />
Image source: Big Think<p>We can sum this up pretty easily. Lights out. Forever.</p>
UNC School of Medicine researchers identified the amino acid responsible for the trip.
- Researchers at UNC's School of Medicine have discovered the protein responsible for LSD's psychedelic effects.
- A single amino acid—part of the protein, Gαq—activates the mind-bending experience.
- The researchers hope this identification helps shape depression treatment.
What is Bicycle Day?<span style="display:block;position:relative;padding-top:56.25%;" class="rm-shortcode" data-rm-shortcode-id="d346092205da3c9ed10bad283222c9f1"><iframe type="lazy-iframe" data-runner-src="https://www.youtube.com/embed/L32mAiLXnLs?rel=0" width="100%" height="auto" frameborder="0" scrolling="no" style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe></span><p>Back in the world of clinical science, LSD has always showed promise. That trend continues as restrictions are finally easing up. Understanding LSD's effects on our brain's complex system of networks is an important step toward discovering therapeutic actions. As Roth <a href="https://www.inverse.com/mind-body/how-lsd-binds-to-the-brain-study" target="_blank">says</a> of his research,</p><p style="margin-left: 20px;">"Now we know how psychedelic drugs work – finally! Now we can use this information to, hopefully, discover better medications for many psychiatric diseases."</p><p>Using X-ray crystallography, Roth's team discovered a single amino acid—a building block of the protein, Gαq—responsible for binding to serotonin receptors. As LSD is only a partial agonist, they also experimented with a full-agonist designer psychedelic in order to observe complete receptor activation. This amino acid appears to be the master switch for the psychedelic experience. </p><p>While psilocybin has been in the news, the psychedelic renaissance is expanding in all directions. Phase 1 clinical trials on the <a href="https://newatlas.com/science/landmark-clinical-trial-lsd-mdma-mindmed/" target="_blank">combination</a> of LSD, MDMA, and psychotherapy will soon commence. LSD's effects on <a href="https://clinicaltrials.gov/ct2/show/NCT03866252" target="_blank" rel="noopener noreferrer">Major Depressive Disorder</a> and <a href="https://www.sciencealert.com/first-clinical-trial-shows-micro-doses-of-lsd-can-increase-a-person-s-pain-tolerance" target="_blank">pain management</a> are ongoing. With the <a href="https://www.bloomberg.com/news/articles/2020-09-18/-magic-mushroom-company-moves-toward-mainstream-in-nasdaq-ipo" target="_blank" rel="noopener noreferrer">first psychedelics company</a> to IPO on the American stock market, along with hundreds of millions of dollars of investment flowing into similar companies and organizations, the push for legalized psychedelics intensifies. </p>
Credit: ynsga / Shutterstock<p>Researchers are actively attempting to remove the hallucinogenic component of psychedelics for widespread therapeutic usage—<a href="https://www.healtheuropa.eu/could-ibogaine-offer-a-revolutionary-long-term-solution-to-addiction/100635/" target="_blank">trials</a> using ibogaine for addiction treatment, for example. Identifying the chemical effects of psychedelics on our brains is an essential step in that process.</p><p>Of course, believing psychedelics <em>only</em> matters to brain chemistry is problematic as well. The rituals associated with their use are just as relevant. The "<a href="https://en.wikipedia.org/wiki/Set_and_setting" target="_blank">set and setting</a>" model espoused by Timothy Leary reminds us that biology isn't everything; environmental factors play just as important a role in mental health. </p><p>Isolating specific chemicals without understanding the impact of the drug <em>and</em> the environment overlooks the holistic nature of the psychedelic experience. For example, ketamine trials <a href="https://bigthink.com/surprising-science/ketamine-depression" target="_self">were rushed</a> and could potentially backfire; we can't afford to make that mistake again. </p><p>Still, understanding the pathways LSD utilizes is an important step forward. As Roth says, "Our ultimate goal is to see if we can discover medications which are effective, like psilocybin, for depression but do not have the intense psychedelic actions." In a world where more people are growing anxious and depressed by the day, every intervention should be explored.</p><p> --</p><p><em>Stay in touch with Derek on <a href="http://www.twitter.com/derekberes" target="_blank">Twitter</a>, <a href="https://www.facebook.com/DerekBeresdotcom" target="_blank" rel="noopener noreferrer">Facebook</a> and <a href="https://derekberes.substack.com/" target="_blank" rel="noopener noreferrer">Substack</a>. His next book is</em> "<em>Hero's Dose: The Case For Psychedelics in Ritual and Therapy."</em></p>
A team of researchers have discovered the brain rhythmic activity that can split us from reality.
- Researchers have identified the key rhythmic brain activity that triggers a bizarre experience called dissociation in which people can feel detached from their identity and environment.
- This phenomena is experienced by about 2 percent to 10 percent of the population. Nearly 3 out of 4 individuals who have experienced a traumatic event will slip into a dissociative state either during the event or sometime after.
- The findings implicate a specific protein in a certain set of cells as key to the feeling of dissociation, and it could lead to better-targeted therapies for conditions in which dissociation can occur.
What is dissociation?<span style="display:block;position:relative;padding-top:56.25%;" class="rm-shortcode" data-rm-shortcode-id="bd2f1f29418bd4805bf1282001dca814"><iframe type="lazy-iframe" data-runner-src="https://www.youtube.com/embed/XF2zeOdE5GY?rel=0" width="100%" height="auto" frameborder="0" scrolling="no" style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe></span><p>Dissociation is an experience commonly described as a feeling of sudden detachment from the individual's identity and environment, almost like an out-of-body experience. This mysterious phenomena is experienced by about 2 percent to 10 percent of the population.</p><p>"This state often manifests as the perception of being on the outside looking in at the cockpit of the plane that's your body or mind — and what you're seeing you just don't consider to be yourself," explained senior author Karl Deisseroth, MD, PhD, <a href="https://med.stanford.edu/news/all-news/2020/09/researchers-pinpoint-brain-circuitry-underlying-dissociation.html" target="_blank" rel="noopener noreferrer">in a Stanford Medicine news release</a>. Deisseroth is a professor of bioengineering and of psychiatry and behavioral sciences, as well as a Howard Hughes Medical Institute investigator.</p><p>Nearly three-quarters of individuals who have experienced a traumatic event will slip into a dissociative state either during the event or in the hours or even weeks that follow, according to Deisseroth. Most of the time, the dissociative experiences end on their own within a few weeks of the trauma. But the eerie experience can become chronic, such as in cases of post-traumatic stress disorder, and extremely disruptive in daily life. The state of dissociation can also occur in epilepsy and be invoked by certain drugs. </p><p>Until now, no one has known what exactly is going on inside the brain triggering and sustaining the feeling of dissociation — and so it has been a challenge to figure out how to stop it and develop effective treatments. </p>
New Research: The Molecular Underpinnings of Dissociation<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNDQyNjk3My9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYwNTQ3MTI1NX0._nJoxm1eDcTsHsy1Y27JxNl2uR5hlbEYDWYoQlO0EAU/img.jpg?width=1245&coordinates=0%2C121%2C0%2C121&height=700" id="26e86" class="rm-shortcode" data-rm-shortcode-id="1094af23e35a498a8a6b691f1d0cbfaf" data-rm-shortcode-name="rebelmouse-image" alt="neurons" />
Neurons from a mouse spinal cord
Credit: NICHD on Flickr<p>Last week, in a study published in <a href="https://www.nature.com/articles/s41586-020-2731-9" target="_blank">Nature</a><a href="https://www.nature.com/articles/s41586-020-2731-9">,</a> Deisseroth and his colleagues at Stanford University uncovered a localized brain rhythm and molecule that underlies this state.</p><p>"This study has identified brain circuitry that plays a role in a well-defined subjective experience," said Deisseroth. "Beyond its potential medical implications, it gets at the question, 'What is the self?' That's a big one in law and literature, and important even for our own introspections."</p><p>The authors' findings implicate a specific protein existing in a particular set of cells as key to the feeling of dissociation. </p><p>The research team first used a technique called widefield calcium imaging to record brain-wide neuronal activity in lab mice. They observed and analyzed changes in those brain rhythms after the animals had been administered a range of drugs that are known to cause dissociative states: ketamine, phencyclidine (PCP), and dizocilpine (MK801). At a certain dosage of ketamine, the mice behaved in a way that suggested that they were likely experiencing dissociation. For example, when the animals were placed on an uncomfortably warm surface, they reacted to it by flicking their paws. However, they signaled that they didn't care enough about the unpleasantness to do what they would typically do in such a situation, which is to lick their paws to cool them off. This suggested a dissociation from the surrounding environment.</p><p>The drug produced oscillations in neuronal activity in a region of the mices' brain called the retrosplenial cortex, an area essential for various cognitive functions such as navigation and episodic memory (a unique memory of a specific event). The oscillations occurred at about 1-3 hertz (three cycles per second). The authors then examined the active cells in more detail by using two-photon imaging for higher resolution. This revealed that the oscillations were occurring only in layer 5 of the retrosplenial cortex. Next, the researchers recorded neuronal activity across other regions of the brain. </p><p>"Normally, other parts of the cortex and subcortex are functionally connected to neuronal activity in the retrosplenial cortex," Ken Solt and Oluwaseun Akeju wrote in <a href="https://www.nature.com/articles/d41586-020-02505-z#ref-CR1" target="_blank">Nature</a>. "However, ketamine caused a disconnect, such that many of these brain regions no longer communicated with the retrosplenial cortex."</p><p>The scientists then used optogenetics, a method of manipulating living tissue with light to control neural function, to stimulate neurons in the mice's retrosplenial cortex. When the scientists did this at a 2-hertz rhythm, they were able to cause dissociative behavior in the animals analogous to the behavior caused by ketamine without using drugs. The experiments conducted by the team displayed how a particular type of protein, an ion channel, was essential to the generation of the hertz signal that caused the dissociative behavior in mice. Scientists are hopeful that this protein could be a potential treatment target in the future. </p>