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“Write what you know” – the most misunderstood piece of good advice, ever.
“Write what you know” isn’t about events, says author Nathan Englander. It’s about emotions. Have you known love? jealousy? longing? loss? As a kid, did you want that Atari 2600 so bad you might have killed for it?
When he played Travis Bickle, the homicidal cabbie in Martin Scorcese’s Taxi Driver, then-27-year-old Robert DeNiro had never killed a pimp. He had never fought in Vietnam or attempted to assassinate a senator. How, then, could he be so incredibly convincing as a paranoid maniac?
Deniro was trained in the “method” – a psychologically realistic school of acting brought to New York in the 1930s by Stella Adler, Lee Strasberg, and other protegées of the great Russian director Stanislavsky. While method acting has inspired its share of parody, the core of the method is about analogy. If you’ve got to play a killer, you try to resurrect the most homicidal feeling you’ve ever had and bring that sense of all-consuming rage to the part. It doesn’t take much – a high school memory of being grounded on prom night, for example, could suffice.
What's the Big Idea?
For Nathan Englander, it’s exactly the same with writing. The critically acclaimed author of What We Talk About When We Talk About Anne Frank says that “write what you know” is one of the best and most misunderstood pieces of advice, ever. It paralyzes aspiring authors into thinking that authenticity in fiction means thinly veiled autobiography. If you’re a drunken, brawling adventurer, like Hemingway, no problem. But Englander, who grew up in the Orthodox Jewish community of West Hempstead, New York, says he spent a lot of his childhood watching TV, playing videogames, and dreaming about being a writer. Was he required to write about the Atari 2600?
“Write what you know” isn’t about events, says Englander. It’s about emotions. Have you known love? jealousy? longing? loss? Did you want that Atari 2600 so bad you might have killed for it? If so, it doesn't matter whether your story takes place in Long Island or on Mars – if you’re writing what you know, readers will feel it.
Nathan Englander on writing "what you know.":
We are honored to have Nathan Englander judging the Big Think, Short Fiction Contest – top three winning entries to be announced and published on Big Think next Friday, 3//9.
Follow Jason Gots (@jgots) on Twitter
Image credit: Shutterstock.com
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This is what aliens would 'hear' if they flew by Earth
A Mercury-bound spacecraft's noisy flyby of our home planet.
13 May, 2020
Image source: sdecoret on Shutterstock/ESA/Big Think
Surprising Science
- There is no sound in space, but if there was, this is what it might sound like passing by Earth.
- A spacecraft bound for Mercury recorded data while swinging around our planet, and that data was converted into sound.
- Yes, in space no one can hear you scream, but this is still some chill stuff.
First off, let's be clear what we mean by "hear" here. (Here, here!)
Sound, as we know it, requires air. What our ears capture is actually oscillating waves of fluctuating air pressure. Cilia, fibers in our ears, respond to these fluctuations by firing off corresponding clusters of tones at different pitches to our brains. This is what we perceive as sound.
All of which is to say, sound requires air, and space is notoriously void of that. So, in terms of human-perceivable sound, it's silent out there. Nonetheless, there can be cyclical events in space — such as oscillating values in streams of captured data — that can be mapped to pitches, and thus made audible.
BepiColombo
Image source: European Space Agency
The European Space Agency's BepiColombo spacecraft took off from Kourou, French Guyana on October 20, 2019, on its way to Mercury. To reduce its speed for the proper trajectory to Mercury, BepiColombo executed a "gravity-assist flyby," slinging itself around the Earth before leaving home. Over the course of its 34-minute flyby, its two data recorders captured five data sets that Italy's National Institute for Astrophysics (INAF) enhanced and converted into sound waves.
Into and out of Earth's shadow
In April, BepiColombo began its closest approach to Earth, ranging from 256,393 kilometers (159,315 miles) to 129,488 kilometers (80,460 miles) away. The audio above starts as BepiColombo begins to sneak into the Earth's shadow facing away from the sun.
The data was captured by BepiColombo's Italian Spring Accelerometer (ISA) instrument. Says Carmelo Magnafico of the ISA team, "When the spacecraft enters the shadow and the force of the Sun disappears, we can hear a slight vibration. The solar panels, previously flexed by the Sun, then find a new balance. Upon exiting the shadow, we can hear the effect again."
In addition to making for some cool sounds, the phenomenon allowed the ISA team to confirm just how sensitive their instrument is. "This is an extraordinary situation," says Carmelo. "Since we started the cruise, we have only been in direct sunshine, so we did not have the possibility to check effectively whether our instrument is measuring the variations of the force of the sunlight."
When the craft arrives at Mercury, the ISA will be tasked with studying the planets gravity.
Magentosphere melody
The second clip is derived from data captured by BepiColombo's MPO-MAG magnetometer, AKA MERMAG, as the craft traveled through Earth's magnetosphere, the area surrounding the planet that's determined by the its magnetic field.
BepiColombo eventually entered the hellish mangentosheath, the region battered by cosmic plasma from the sun before the craft passed into the relatively peaceful magentopause that marks the transition between the magnetosphere and Earth's own magnetic field.
MERMAG will map Mercury's magnetosphere, as well as the magnetic state of the planet's interior. As a secondary objective, it will assess the interaction of the solar wind, Mercury's magnetic field, and the planet, analyzing the dynamics of the magnetosphere and its interaction with Mercury.
Recording session over, BepiColombo is now slipping through space silently with its arrival at Mercury planned for 2025.
Study helps explain why motivation to learn declines with age
Research suggests that aging affects a brain circuit critical for learning and decision-making.
27 October, 2020
Photo by Reinhart Julian on Unsplash
Mind & Brain
As people age, they often lose their motivation to learn new things or engage in everyday activities. In a study of mice, MIT neuroscientists have now identified a brain circuit that is critical for maintaining this kind of motivation.
<p>This circuit is particularly important for learning to make decisions that require evaluating the cost and reward that come with a particular action. The researchers showed that they could boost older mice's motivation to engage in this type of learning by reactivating this circuit, and they could also decrease motivation by suppressing the circuit.</p><p>"As we age, it's harder to have a get-up-and-go attitude toward things," says Ann Graybiel, an Institute Professor at MIT and member of the McGovern Institute for Brain Research. "This get-up-and-go, or engagement, is important for our social well-being and for learning — it's tough to learn if you aren't attending and engaged."</p><p>Graybiel is the senior author of the study, which appears today in <em>Cell</em>. The paper's lead authors are Alexander Friedman, a former MIT research scientist who is now an assistant professor at the University of Texas at El Paso, and Emily Hueske, an MIT research scientist.</p>
<h3>Evaluating cost and benefit</h3><p>The striatum is part of the basal ganglia — a collection of brain centers linked to habit formation, control of voluntary movement, emotion, and addiction. For several decades, Graybiel's lab has been studying clusters of cells called striosomes, which are distributed throughout the striatum. Graybiel discovered striosomes many years ago, but their function had remained mysterious, in part because they are so small and deep within the brain that it is difficult to image them with functional magnetic resonance imaging (fMRI).</p><p>In recent years, Friedman, Graybiel, and colleagues including MIT research fellow Ken-ichi Amemori have discovered that striosomes <a href="https://news.mit.edu/2015/brain-circuit-controls-decisions-causing-anxiety-0528" target="_blank" rel="noopener noreferrer">play an important role</a> in a type of decision-making known as approach-avoidance conflict. These decisions involve choosing whether to take the good with the bad — or to avoid both — when given options that have both positive and negative elements. An example of this kind of decision is having to choose whether to take a job that pays more but forces a move away from family and friends. Such decisions often provoke great anxiety.</p><p>In a <a href="https://news.mit.edu/2016/neural-connections-linked-emotional-decision-making-0919" target="_blank" rel="noopener noreferrer">related study</a>, Graybiel's lab found that striosomes connect to cells of the substantia nigra, one of the brain's major dopamine-producing centers. These studies led the researchers to hypothesize that striosomes may be acting as a gatekeeper that absorbs sensory and emotional information coming from the cortex and integrates it to produce a decision on how to act. These actions can then be invigorated by the dopamine-producing cells.</p><p>The researchers later discovered that chronic stress has a major impact on this circuit and on this kind of emotional decision-making. In a <a href="https://news.mit.edu/2017/stress-can-lead-risky-decisions-1116" target="_blank" rel="noopener noreferrer">2017 study</a> performed in rats and mice, they showed that stressed animals were far more likely to choose high-risk, high-payoff options, but that they could block this effect by manipulating the circuit.</p>
<p>In the new <em>Cell</em> study, the researchers set out to investigate what happens in striosomes as mice learn how to make these kinds of decisions. To do that, they measured and analyzed the activity of striosomes as mice learned to choose between positive and negative outcomes.</p><p>During the experiments, the mice heard two different tones, one of which was accompanied by a reward (sugar water), and another that was paired with a mildly aversive stimulus (bright light). The mice gradually learned that if they licked a spout more when they heard the first tone, they would get more of the sugar water, and if they licked less during the second, the light would not be as bright.</p><p>Learning to perform this kind of task requires assigning value to each cost and each reward. The researchers found that as the mice learned the task, striosomes showed higher activity than other parts of the striatum, and that this activity correlated with the mice's behavioral responses to both of the tones. This suggests that striosomes could be critical for assigning subjective value to a particular outcome.</p><p>"In order to survive, in order to do whatever you are doing, you constantly need to be able to learn. You need to learn what is good for you, and what is bad for you," Friedman says.</p><p>"A person, or this case a mouse, may value a reward so highly that the risk of experiencing a possible cost is overwhelmed, while another may wish to avoid the cost to the exclusion of all rewards. And these may result in reward-driven learning in some and cost-driven learning in others," Hueske says.</p><p>The researchers found that inhibitory neurons that relay signals from the prefrontal cortex help striosomes to enhance their signal-to-noise ratio, which helps to generate the strong signals that are seen when the mice evaluate a high-cost or high-reward option.</p>
<h3>Loss of motivation</h3><p>Next, the researchers found that in older mice (between 13 and 21 months, roughly equivalent to people in their 60s and older), the mice's engagement in learning this type of cost-benefit analysis went down. At the same time, their striosomal activity declined compared to that of younger mice. The researchers found a similar loss of motivation in a mouse model of Huntington's disease, a neurodegenerative disorder that affects the striatum and its striosomes.</p><p>When the researchers used genetically targeted drugs to boost activity in the striosomes, they found that the mice became more engaged in performance of the task. Conversely, suppressing striosomal activity led to disengagement.</p><p>In addition to normal age-related decline, many mental health disorders can skew the ability to evaluate the costs and rewards of an action, from anxiety and depression to conditions such as PTSD. For example, a depressed person may undervalue potentially rewarding experiences, while someone suffering from addiction may overvalue drugs but undervalue things like their job or their family.</p><p>The researchers are now working on possible drug treatments that could stimulate this circuit, and they suggest that training patients to enhance activity in this circuit through biofeedback could offer another potential way to improve their cost-benefit evaluations.</p><p>"If you could pinpoint a mechanism which is underlying the subjective evaluation of reward and cost, and use a modern technique that could manipulate it, either psychiatrically or with biofeedback, patients may be able to activate their circuits correctly," Friedman says.</p><p>The research was funded by the CHDI Foundation, the Saks Kavanaugh Foundation, the National Institutes of Health, the Nancy Lurie Marks Family Foundation, the Bachmann-Strauss Dystonia and Parkinson's Foundation, the William N. and Bernice E. Bumpus Foundation, the Simons Center for the Social Brain, the Kristin R. Pressman and Jessica J. Pourian '13 Fund, Michael Stiefel, and Robert Buxton.</p><p>Reprinted with permission of <a href="http://news.mit.edu/" target="_blank" rel="noopener noreferrer">MIT News</a>. Read the <a href="https://news.mit.edu/2020/why-learn-motivate-age-decline-1027" target="_blank">original article</a>.</p>
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New brain scan analysis tool can detect early signs of dementia
Researchers develop the first objective tool for assessing the onset of cognitive decline through the measurement of white spots in the brain.
27 October, 2020
Credit: Gorodenkoff/Shutterstock
Mind & Brain
- MRI brain scans may show white spots that scientists believe are linked to cognitive decline.
- Experts have had no objective means of counting and measuring these lesions.
- A new tool counts white spots and also cleverly measures their volumes.
<p>Doctors have suspected for some time that white spots appearing in MRI brain scans are associated with cognitive decline. However, the relationship between the number and size of spots and the likelihood of dementia has been mostly a judgment call. Now, a new study from New York University's Grossman Medical Center proposes the first standardized, objective measurement tool designed to predict cognitive decline when considered alongside other factors.</p><p>The study is published in the journal <a href="https://www.academicradiology.org/article/S1076-6332(20)30486-4/fulltext" target="_blank">Academic Radiology</a>.</p>
White spots and educated guesses
<p>The white spots, or "hyperintensities," are brain lesions—fluid-filled holes in the brain believed to have been left behind by the breaking down of blood vessels that had previously provided nourishment to brain cells.</p><p>Prior to the new research, the quantity of white spots was assessed using an imprecise three-point scale indicating ascending likelihoods of dementia: A minimal number of spots was considered as level 1, a medium number of spots level 2, and a great number of them level 3.</p>How the new measurements were derived
<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNDYwMTc1OS9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYzNDQ1ODExNX0.vqhQJSvL99KjOe24TOs4E8R7c6-pprbXYSrGcIqbVps/img.jpg?width=980" id="c64d9" class="rm-shortcode" data-rm-shortcode-id="002d9b8ef47b5a86c3a387ad2cd90629" data-rm-shortcode-name="rebelmouse-image" />Credit: sfam_photo/Shutterstock
<p>The team of researchers from NYU's Langone's <a href="https://med.nyu.edu/departments-institutes/neurology/divisions-centers/center-cognitive-neurology" target="_blank">Center for Cognitive Neurology</a> and <a href="https://med.nyu.edu/departments-institutes/neurology/divisions-centers/center-cognitive-neurology/alzheimers-disease-research-center" target="_blank">Alzheimer's Disease Research Center</a> were led by <a href="https://med.nyu.edu/faculty/jingyun-chen" target="_blank">Jingyun "Josh" Chen</a>. They analyzed 72 MRI scans from a national database of older people taken as part of the <a href="http://adni.loni.usc.edu" target="_blank">Alzheimer's Disease Neuroimaging Initiative</a> (ADNI). The scans were mostly of white people over age 70, and there were a roughly equivalent number of men and women. Some had normal brain function, some were presenting moderate cognitive decline, and some had severe dementia.</p><p>Without knowing each individual's diagnosis, the researchers analyzed the white spots in their scans. While the team counted each scan's lesions, the innovation they introduced was the production of a 3D measurement for each lesion's fluid volume. The measurement was derived by measuring a lesion's distance from opposite sides of the brain.</p><p>Measurements of 0 milliliters (mL) were assessed for areas without white spots, with other white spots coming up as containing 60 mL of fluid. Chen's team predicted that volumes over 100 mL could signify severe dementia.</p><p>"Amounts of white matter lesions above the normal range should serve as an early warning sign for patients and physicians," Chen told <a href="https://nyulangone.org/news/white-matter-lesion-mapping-tool-identifies-early-signs-dementia" target="_blank">NYU Langone Health NewsHub</a>.</p><p>When the team compared the likely diagnoses derived from their calculations against the individuals' medical records, they found that their predictions were correct about 7 out of 10 times.</p><p>The researchers compiled their formulas into an online tool that's available to physicians for free via <a href="https://github.com/jingyunc/wmhs" target="_blank" rel="noopener noreferrer">GitHub</a>. The researchers plan to further refine and test it using an additional 1,495 brain scans representing a more diverse group of individuals from the ADNI database.</p>The new tool and its limits
<p>Chen notes that white spots alone may not tell the entire story of an individual's cognitive decline or the onset of dementia. Other factors must be considered as well, including memory loss, hypertension, and brain injuries.</p><p>Nonetheless, says senior investigator <a href="https://med.nyu.edu/faculty/yulin-ge" target="_blank">Yulin Ge</a>, "Our new calculator for properly sizing white matter hyperintensities, which we call 'bilateral distancing,' offers radiologists and other clinicians an additional standardized test for assessing these lesions in the brain, well before severe dementia or stroke damage."</p><p>Having an objective means of measuring white hyperintensities will allow physicians not only to get a better handle on the association between white spots and dementia, but also to track the spots alongside changes to a person's tau and beta-amyloid proteins, two chemicals implicated in Alzheimer's disease and dementia.</p>
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Strange Maps
End gerrymandering? Here’s a radical solution
Why not just divide the United States in slices of equal population?
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