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The real payoff in subscribing to the idea of a brain as a computer would come from using that idea to profitably guide research. In an article last fall in the journal Science, two of my colleagues (Adam Marblestone of M.I.T. and Thomas Dean of Google) and I endeavored to do just that, suggesting that a particular kind of computer, known as the field programmable gate array, might offer a preliminary starting point for thinking about how the brain works.

FIELD programmable gate arrays consist of a large number of “logic block” programs that can be configured, and reconfigured, individually, to do a wide range of tasks. One logic block might do arithmetic, another signal processing, and yet another look things up in a table. The computation of the whole is a function of how the individual parts are configured. Much of the logic can be executed in parallel, much like what happens in a brain.

our suggestion is that the brain might similarly consist of highly orchestrated sets of fundamental building blocks, such as “computational primitives” for constructing sequences, retrieving information from memory, and routing information between different locations in the brain. Identifying those building blocks, we believe, could be the Rosetta stone that unlocks the brain.

it is unlikely that we will ever be able to directly connect the language of neurons and synapses to the diversity of human behavior, as many neuroscientists seem to hope. The chasm between brains and behavior is just too vast.

Our best shot may come instead from dividing and conquering. Fundamentally, that may involve two steps: finding some way to connect the scientific language of neurons and the scientific language of computational primitives (which would be comparable in computer science to connecting the physics of electrons and the workings of microprocessors); and finding some way to connect the scientific language of computational primitives and that of human behavior (which would be comparable to understanding how computer programs are built out of more basic microprocessor instructions).

If neurons are akin to computer hardware, and behaviors are akin to the actions that a computer performs, computation is likely to be the glue that binds the two.

That’s because real people — and yes, even professional economists — tend to process the parallel rise of prices and wages in quite different ways.

In brief, researchers have found that we tend to internalize the gains due to inflation and externalize the losses. These different processes yield different emotional responses.

Let’s start with higher prices. Sticker shock hurts. Even as someone who closely studies the inflation statistics, I’m still often surprised by higher prices. They feel unfair. They undermine my spending power, and my sense of control and order.

in reality, higher prices are only the first act of the inflationary play. It’s a play that economists have seen before. In episode after episode, surges in prices have led to — or been preceded by — a proportional surge in wages.

Even though wages tend to rise hand-in-hand with prices, we tell ourselves a different story, in which the wage rises we get have nothing to do with price rises that cause them.

But then my economist brain took over, and slowly it sunk in that my raise wasn’t a reward for hard work, but rather a cost-of-living adjustment

Internalizing the gain and externalizing the cost of inflation protects you from this deflating realization. But it also distorts your sense of reality.

The reason so many Americans feel that inflation is stealing their purchasing power is that they give themselves unearned credit for the offsetting wage rises that actually restore it.

younger folks — anyone under 60 — had never experienced sustained inflation rates greater than 5 percent in their adult lives. And I think this explains why they’re so angry about today’s inflation.

While older Americans understood that the pain of inflation is transitory, younger folks aren’t so sure. Inflation is a lot scarier when you fear that today’s price rises will permanently undermine your ability to make ends meet.

Perhaps this explains why the recent moderate burst of inflation has created seemingly more anxiety than previous inflationary episodes.

More generally, being an economist makes me an optimist. Social media is awash with (false) claims that we’re in a “silent depression,” and those who want to make American great again are certain it was once so much better.

in reality, our economy this year is larger, more productive and will yield higher average incomes than in any prior year on record in American history

And because the United States is the world’s richest major economy, we can now say that we are almost certainly part of the richest large society in its richest year in the history of humanity.

The income of the average American will double approximately every 39 years. And so when my kids are my age, average income will be roughly double what it is today. Far from being fearful for my kids, I’m envious of the extraordinary riches their generation will enjoy.

Psychologists describe anxiety disorders as occurring when the panic you feel is out of proportion to the danger you face. By this definition, we’re in the midst of a macroeconomic anxiety attack.

Open access got its start about a decade ago and quickly won widespread acclaim with the advent of well-regarded, peer-reviewed journals like those published by the Public Library of Science, known as PLoS. Such articles were listed in databases like PubMed, which is maintained by the National Library of Medicine, and selected for their quality.

Jeffrey Beall, a research librarian at the University of Colorado in Denver, has developed his own blacklist of what he calls “predatory open-access journals.” There were 20 publishers on his list in 2010, and now there are more than 300. He estimates that there are as many as 4,000 predatory journals today, at least 25 percent of the total number of open-access journals.

Increasingly, we seem to live parallel lives – as a person with a body and as an online avatar. Comedy and tragedy will doubtless ensue. That’s what masks can do.

He complained to me that golf publications never rank his courses high enough, because the people who do the rating hold a grudge against him, but he also said that he never allows raters to play his courses, because they would just get in the way of the members.

He wanted the number, and the fact that I hadn’t published the number proved that I was just like all the other biased reporters, who, because we’re all part of the anti-Trump media conspiracy, never give him as much credit as he deserves for being awesome.

In Trump’s own mind, I suspect, he really did shoot 71 that day, if not (by now) 69. Trump’s world is a parallel universe in which truth takes many forms, none of them necessarily based on reality.

“I think the differences are still greater than the similarities,” he says. “Hitler was not only more intelligent, but craftier. He was not just a powerful orator, but a talented actor who succeeded in winning over various social milieus. So not just the economically threatened lower middle classes which Trump targeted, but also the upper middle classes. Hitler had many supporters in the German aristocracy.”

Trump was also democratically elected, while Hitler never had a majority vote. “He was appointed by the president of the German Reich.” Then there’s the fact that Trump does not lead a party “which is unconditionally committed to him”.

“A further obvious difference is that Trump doesn’t have a private militia, as Hitler did with the SA, which he used in his first months after coming to power to settle scores with his opponents, like the Communists and Social Democrats. You can’t possibly imagine something similar with Trump – that he’ll be locking Democrats up into concentration camps

“Finally, the American constitution is based on a system of checks and balances. It remains to be seen how far Congress will really limit Trump or if, as is feared, he can override it. It was different with Hitler, who, as we know, managed to eliminate all resistance in the shortest space of time and effectively establish himself as an all-powerful dictator. Within a few months, there was effectively no longer any opposition.”

“Hitler profited from the fact that his opponents always underestimated him,” Ullrich explains. “His conservative allies in government assumed they could tame or ‘civilise’ him – that once he became chancellor he’d become vernünftig (meaning sensible, reasonable). Very quickly it became clear that was an illusion.”

“There were many situations where he could have been stopped. For example in 1923 after the failed Munich putsch – if he’d served his full prison sentence of several years, he wouldn’t have made a political comeback. Instead, he only spent a few months behind bars, [having been released after political pressure] and could rebuild his movement.”

The western powers made the same mistake with their appeasement politics, indecision and indulgence. “In the 1930s Hitler strengthened, rather than weakened, his aggressive intentions,” Ullrich says. “So you could learn from this that you have to react faster and much more vigorously than was the case at the time.”

llrich also contends that if Hindenburg, the president of the Reich, had allowed Chancellor Brüning, of the Centre party, to remain chancellor to the end of 1934, rather than responding to pressure from conservatives to dismiss him in 1932, “then the peak of the economic crisis would have passed and it would have been very questionable whether Hitler could still have come to power”.

At the same time, Hitler’s ascent was no mere fluke. “There were powerful forces in the big industries, but also in the landowning class and the armed forces, which approved of a fascist solution to the crisis.”

If fascism “now just means aggressive nationalism, racism, patriarchy and authoritarianism, then maybe it is back on the agenda,” Bosworth continues. But today’s context is fundamentally different

Today’s “alt-right” agitators “live in a neoliberal global order where the slogan, ‘all for the market, nothing outside the market, no one against the market’ is far more unquestionably accepted than the old fascist slogan of ‘all for the state, nothing outside the state, no one against the state’”.

“What is that if it’s not racially authoritarian?” asks Schama. “If you want to call it fascist, fine. I don’t really care if it’s called that or not. It’s authoritarian, you know, ferociously authoritarian.”

Schama also points to deeply worrying messaging, such as “the parallel universe of lies which are habitual, massive, cumulative”; the criminalization of political opponents; the threat to change the libel laws against the press and the demonization of different racial and ethnic groups, going as far as proposing a Muslim registry.

Schama is clear: Trump is obviously not Hitler. “But, you know, if you like, he’s an entertainment fascist, which may be less sinister but is actually in the end more dangerous. If you’re not looking for jackboots and swastikas – although swastikas are indeed appearing – there’s a kind of laundry list of things which are truly sinister and authoritarian and not business as usual.”

Don’t ignore what people vote fo

f you’re of German heritage, it’s hard to understand how so many people could have bought Mein Kampf and gone on to vote for Hitler. Maybe no one really read it, or got beyond the first few pages of bluster, or took antisemitism seriously, you tell yourself. “Or they liked what he said,

“I think one of the mistakes this time around would be not to think that the people who voted for Trump were serious. They may have been serious for different reasons, but it would be a big mistake not to try and figure out what their reasons were.

Hitler presented himself as a “messiah” offering the public “salvation”, Ullrich points out. With austerity and hostility to the EU and to immigrants riding high, there is fertile ground for European populists next year to seduce with equally simplistic, sweeping “solutions”.

The problem, in Mazower’s view, is that establishment politicians currently have no response

“The Gestapo was piddling compared with the size and reach of surveillance equipment and operations today,

“Very belatedly, everyone is waking up to the fact that there was a general assumption that no government in the west would fall into the wrong hands, that it was safe to acquiesce in this huge expansion of surveillance capabilities, and the debate wasn’t as vigorous as it could have been.”

“Now, there is a lot of discussion about allowing this kind of surveillance apparatus in the wrong hands,” he adds. “And we’ve woken up to this a bit late in the day.”

Ullrich calls crises, “the elixir of rightwing populists”, and urges that politicians “do everything they can to correct the inequalities and social injustice which have arisen in the course of extreme financial capitalism in western countries”

Jane Caplan, a history professor at Oxford University who has written about Trump and fascism, highlights the want of “dissenting voices against marketisation and neoliberalism

The failure to resist the incursion of the market as the only criterion for political utility, or economic utility, has been pretty comprehensive.

Paranoia, bullying and intimidation are a hallmark of authoritarian regimes. They are also alive and well in our culture today, where online trolls, violent thugs at rallies, threats of expensive libel action and of course terrorist acts are equally effective in getting individuals and the press to self-censor.

This kind of modeling is already in use to study individual cellular processes like metabolism. But Dr. Covert said: “Where I think our work is different is that we explicitly include all of the genes and every known gene function. There’s no one else out there who has been able to include more than a handful of functions or more than, say, one-third of the genes.”

The simulation, which runs on a cluster of 128 computers, models the complete life span of the cell at the molecular level, charting the interactions of 28 categories of molecules — including DNA, RNA, proteins and small molecules known as metabolites, which are generated by cell processes.

They called the simulation an important advance in the new field of computational biology, which has recently yielded such achievements as the creation of a synthetic life form — an entire bacterial genome created by a team led by the genome pioneer J. Craig Venter. The scientists used it to take over an existing cell.

A decade ago, scientists developed simulations of metabolism that are now being used to study a wide array of cells, including bacteria, yeast and photosynthetic organisms. Other models exist for processes like protein synthesis.

“Right now, running a simulation for a single cell to divide only one time takes around 10 hours and generates half a gigabyte of data,” Dr. Covert wrote. “I find this fact completely fascinating, because I don’t know that anyone has ever asked how much data a living thing truly holds. We often think of the DNA as the storage medium, but clearly there is more to it than that.”

scientists chose an approach called object-oriented programming, which parallels the design of modern software systems. Software designers organize their programs in modules, which communicate with one another by passing data and instructions back and forth.

“The major modeling insight we had a few years ago was to break up the functionality of the cell into subgroups, which we could model individually, each with its own mathematics, and then to integrate these submodels together into a whole,”

as Facebook evolves into a sustainable business, the trick will be making sure that users don’t cool on its tactics. That could be devastating to the company’s main source of revenue — showing advertisements to its members based on what it knows about them.

Facebook might not be impervious to rivals, or at least to more divided attention from people who shift their time to other parts of the Web where intent is easier to understand and the interactions feel less public.

it is not clear whether the rise of post-war tower dwelling is a definite improvement on the modern city sprawl. Tall buildings (with the exception of glassed-office buildings and landmarks) are often found in sad scenes.

In recent years, the new mayor of the Colombian capital Bogota, Enrique Penalosa, has cancelled highways projects and poured the money instead into cycle lanes, parks and open spaces for locals – undoing decades of car-centric planning that had made the streets a no-go area for the capital’s children. On the day in February 2000 when Penalosa banned cars from the street for 24 hours, hospital admissions fell by a third, air pollution levels dropped and residents said it made them feel more optimistic about living in the city.

are the technologies we are designing really helping its users to be happy? Take the simple example of a web map. It usually gives us the shortest walking direction to destination. But what if it would give us the small street, full of trees, parallel to the shortest path, which would make us happier? As more and more of us share these city streets, what will keep us happy as they become more crowded?

the share of the world’s population living in cities has surpassed 50%. By 2025, we will see another 1.2 billion city residents. With more and more of us moving to urban centres, quality of life becomes ever-more important.

Because facial recognition can be used covertly to identify and track people by name at a distance, some civil liberties experts call it unequivocally intrusive. In view of intelligence documents made public by Edward J. Snowden, they also warn that once companies get access to such data, the government could, too. “This is you as an individual being monitored over time and your movements and habits being recorded,”

facial recognition may soon let companies link a person’s online persona with his or her actual offline self at a specific public location. That could seriously threaten our ability to remain anonymous in public.

industry and consumer advocates will have to contend with nascent facial-recognition apps like NameTag; it is designed to allow a user to scan photographs of strangers, then see information about them — like their occupations or social-network profiles.

after 40 years of wandering, it is not easy to find a path back to the future. If there is to be a future, we would do well to reflect about it more. The first and the hardest step is to see that we now find ourselves in a desert, and not in an enchanted forest.

Geraint Rees, director of University College London's Institute of Cognitive Neuroscience, complains that reading Tallis is "a bit like trying to nail jelly to the wall." He "rubbishes every current theory of the relationship between mind and brain, whether philosophical or neuroscientific," while offering "little or no alternative,"

cultural memes. The Darwinesque concept originates in Dawkins's 1976 book, The Selfish Gene. Memes are analogous to genes, Dennett has said, "replicating units of culture" that spread from mind to mind like a virus. Religion, chess, songs, clothing, tolerance for free speech—all have been described as memes. Tallis considers it absurd to talk of a noun-phrase like "tolerance for free speech" as a discrete entity. But Dennett argues that Tallis's objections are based on "a simplistic idea of what one might mean by a unit." Memes aren't units? Well, in that spirit, says Dennett, organisms aren't units of biology, nor are species—they're too complex, with too much variation. "He's got to allow theory to talk about entities which are not simple building blocks," Dennett says.

How is it that he perceives the glass of water on the table? How is it that he feels a sense of self over time? How is it that he can remember a patient he saw in 1973, and then cast his mind forward to his impending visit to the zoo? There are serious problems with trying to reduce such things to impulses in the brain, he argues. We can explain "how the light gets in," he says, but not "how the gaze looks out." And isn't it astonishing, he adds, that much neural activity seems to have no link to consciousness? Instead, it's associated with things like controlling automatic movements and regulating blood pressure. Sure, we need the brain for consciousness: "Chop my head off, and my IQ descends." But it's not the whole story. There is more to perceptions, memories, and beliefs than neural impulses can explain. The human sphere encompasses a "community of minds," Tallis has written, "woven out of a trillion cognitive handshakes of shared attention, within which our freedom operates and our narrated lives are led." Those views on perception and memory anchor his attack on "neurobollocks." Because if you can't get the basics right, he says, then it's premature to look to neuroscience for clues to complex things like love.

Yes, many unanswered questions persist. But these are early days, and neuroscience remains immature, says Churchland, a professor emerita of philosophy at University of California at San Diego and author of the subfield-spawning 1986 book Neurophilosophy. In the 19th century, she points out, people thought we'd never understand light. "Well, by gosh," she says, "by the time the 20th century rolls around, it turns out that light is electromagnetic radiation. ... So the fact that at a certain point in time something seems like a smooth-walled mystery that we can't get a grip on, doesn't tell us anything about whether some real smart graduate student is going to sort it out in the next 10 years or not."

Dennett claims he's got much of it sorted out already. He wrote a landmark book on the topic in 1991, Consciousness Explained. (The title "should have landed him in court, charged with breach of the Trade Descriptions Act," writes Tallis.) Dennett uses the vocabulary of computer science to explain how consciousness emerges from the huge volume of things happening in the brain all at once. We're not aware of everything, he tells me, only a "limited window." He describes that stream of consciousness as "the activities of a virtual machine which is running on the parallel hardware of the brain." "You—the fruits of all your experience, not just your genetic background, but everything you've learned and done and all your memories—what ties those all together? What makes a self?" Dennett asks. "The answer is, and has to be, the self is like a software program that organizes the activities of the brain."