Neuroscience

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Posts tagged intelligence

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Motion Quotient
IQ Predicted by the Brain’s Ability to Filter Visual Motion
A brief visual task can predict IQ, according to a new study.
This surprisingly simple exercise measures the brain’s unconscious ability to filter out visual movement. The study shows that individuals whose brains are better at automatically suppressing background motion perform better on standard measures of intelligence.
The test is the first purely sensory assessment to be strongly correlated with IQ and may provide a non-verbal and culturally unbiased tool for scientists seeking to understand neural processes associated with general intelligence.
"Because intelligence is such a broad construct, you can’t really track it back to one part of the brain," says Duje Tadin, a senior author on the study and an assistant professor of brain and cognitive sciences at the University of Rochester. "But since this task is so simple and so closely linked to IQ, it may give us clues about what makes a brain more efficient, and, consequently, more intelligent."
The unexpected link between IQ and motion filtering was reported online in the Cell Press journal Current Biology on May 23 by a research team lead by Tadin and Michael Melnick, a doctoral candidate in brain and cognitive sciences at the University of Rochester.
In the study, individuals watched brief video clips of black and white bars moving across a computer screen. Their sole task was to identify which direction the bars drifted: to the right or to the left. The bars were presented in three sizes, with the smallest version restricted to the central circle where human motion perception is known to be optimal, an area roughly the width of the thumb when the hand is extended. Participants also took a standardized intelligence test.
As expected, people with higher IQ scores were faster at catching the movement of the bars when observing the smallest image. The results support prior research showing that individuals with higher IQs make simple perceptual judgments swifter and have faster reflexes. “Being ‘quick witted’ and ‘quick on the draw’ generally go hand in hand,” says Melnick.
But the tables turned when presented with the larger images. The higher a person’s IQ, the slower they were at detecting movement. “From previous research, we expected that all participants would be worse at detecting the movement of large images, but high IQ individuals were much, much worse,” says Melnick. That counter-intuitive inability to perceive large moving images is a perceptual marker for the brain’s ability to suppress background motion, the authors explain. In most scenarios, background movement is less important than small moving objects in the foreground. Think about driving in a car, walking down a hall, or even just moving your eyes across the room. The background is constantly in motion.
The key discovery in this study is how closely this natural filtering ability is linked to IQ. The first experiment found a 64 percent correlation between motion suppression and IQ scores, a much stronger relationship than other sensory measures to date. For example, research on the relationship between intelligence and color discrimination, sensitivity to pitch, and reaction times have found only a 20 to 40 percent correlation. “In our first experiment, the effect for motion was so strong,” recalls Tadin, “that I really thought this was a fluke.”
So the group tried to disprove the findings from the initial 12-participant study conducted while Tadin was at Vanderbilt University working with co-author Sohee Park, a professor of psychology. They reran the experiment at the University of Rochester on a new cohort of 53 subjects, administering the full IQ test instead of an abbreviated version and the results were even stronger; correlation rose to 71 percent. The authors also tested for other possible explanations for their findings.
For example, did the surprising link to IQ simply reflect a person’s willful decision to focus on small moving images? To rule out the effect of attention, the second round of experiments randomly ordered the different image sizes and tested other types of large images that have been shown not to elicit suppression. High IQ individuals continued to be quicker on all tasks, except the ones that isolated motion suppression. The authors concluded that high IQ is associated with automatic filtering of background motion.
"We know from prior research which parts of the brain are involved in visual suppression of background motion. This new link to intelligence provides a good target for looking at what is different about the neural processing, what’s different about the neurochemistry, what’s different about the neurotransmitters of people with different IQs," says Tadin.
The relationship between IQ and motion suppression points to the fundamental cognitive processes that underlie intelligence, the authors write. The brain is bombarded by an overwhelming amount of sensory information, and its efficiency is built not only on how quickly our neural networks process these signals, but also on how good they are at suppressing less meaningful information. “Rapid processing is of little utility unless it is restricted to the most relevant information,” the authors conclude.
The researchers point out that this vision test could remove some of the limitations associated with standard IQ tests, which have been criticized for cultural bias. “Because the test is simple and non-verbal, it will also help researchers better understand neural processing in individuals with intellectual and developmental disabilities,” says co-author Loisa Bennetto, an associate professor of psychology at the University of Rochester.

Motion Quotient

IQ Predicted by the Brain’s Ability to Filter Visual Motion

A brief visual task can predict IQ, according to a new study.

This surprisingly simple exercise measures the brain’s unconscious ability to filter out visual movement. The study shows that individuals whose brains are better at automatically suppressing background motion perform better on standard measures of intelligence.

The test is the first purely sensory assessment to be strongly correlated with IQ and may provide a non-verbal and culturally unbiased tool for scientists seeking to understand neural processes associated with general intelligence.

"Because intelligence is such a broad construct, you can’t really track it back to one part of the brain," says Duje Tadin, a senior author on the study and an assistant professor of brain and cognitive sciences at the University of Rochester. "But since this task is so simple and so closely linked to IQ, it may give us clues about what makes a brain more efficient, and, consequently, more intelligent."

The unexpected link between IQ and motion filtering was reported online in the Cell Press journal Current Biology on May 23 by a research team lead by Tadin and Michael Melnick, a doctoral candidate in brain and cognitive sciences at the University of Rochester.

In the study, individuals watched brief video clips of black and white bars moving across a computer screen. Their sole task was to identify which direction the bars drifted: to the right or to the left. The bars were presented in three sizes, with the smallest version restricted to the central circle where human motion perception is known to be optimal, an area roughly the width of the thumb when the hand is extended. Participants also took a standardized intelligence test.

As expected, people with higher IQ scores were faster at catching the movement of the bars when observing the smallest image. The results support prior research showing that individuals with higher IQs make simple perceptual judgments swifter and have faster reflexes. “Being ‘quick witted’ and ‘quick on the draw’ generally go hand in hand,” says Melnick.

But the tables turned when presented with the larger images. The higher a person’s IQ, the slower they were at detecting movement. “From previous research, we expected that all participants would be worse at detecting the movement of large images, but high IQ individuals were much, much worse,” says Melnick. That counter-intuitive inability to perceive large moving images is a perceptual marker for the brain’s ability to suppress background motion, the authors explain. In most scenarios, background movement is less important than small moving objects in the foreground. Think about driving in a car, walking down a hall, or even just moving your eyes across the room. The background is constantly in motion.

The key discovery in this study is how closely this natural filtering ability is linked to IQ. The first experiment found a 64 percent correlation between motion suppression and IQ scores, a much stronger relationship than other sensory measures to date. For example, research on the relationship between intelligence and color discrimination, sensitivity to pitch, and reaction times have found only a 20 to 40 percent correlation. “In our first experiment, the effect for motion was so strong,” recalls Tadin, “that I really thought this was a fluke.”

So the group tried to disprove the findings from the initial 12-participant study conducted while Tadin was at Vanderbilt University working with co-author Sohee Park, a professor of psychology. They reran the experiment at the University of Rochester on a new cohort of 53 subjects, administering the full IQ test instead of an abbreviated version and the results were even stronger; correlation rose to 71 percent. The authors also tested for other possible explanations for their findings.

For example, did the surprising link to IQ simply reflect a person’s willful decision to focus on small moving images? To rule out the effect of attention, the second round of experiments randomly ordered the different image sizes and tested other types of large images that have been shown not to elicit suppression. High IQ individuals continued to be quicker on all tasks, except the ones that isolated motion suppression. The authors concluded that high IQ is associated with automatic filtering of background motion.

"We know from prior research which parts of the brain are involved in visual suppression of background motion. This new link to intelligence provides a good target for looking at what is different about the neural processing, what’s different about the neurochemistry, what’s different about the neurotransmitters of people with different IQs," says Tadin.

The relationship between IQ and motion suppression points to the fundamental cognitive processes that underlie intelligence, the authors write. The brain is bombarded by an overwhelming amount of sensory information, and its efficiency is built not only on how quickly our neural networks process these signals, but also on how good they are at suppressing less meaningful information. “Rapid processing is of little utility unless it is restricted to the most relevant information,” the authors conclude.

The researchers point out that this vision test could remove some of the limitations associated with standard IQ tests, which have been criticized for cultural bias. “Because the test is simple and non-verbal, it will also help researchers better understand neural processing in individuals with intellectual and developmental disabilities,” says co-author Loisa Bennetto, an associate professor of psychology at the University of Rochester.

Filed under intelligence IQ visual motion motion perception psychology neuroscience science

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Brain frontal lobes not sole centre of human intelligence

Human intelligence cannot be explained by the size of the brain’s frontal lobes, say researchers.

image

Research into the comparative size of the frontal lobes in humans and other species has determined that they are not - as previously thought - disproportionately enlarged relative to other areas of the brain, according to the most accurate and conclusive study of this area of the brain.

It concludes that the size of our frontal lobes cannot solely account for humans’ superior cognitive abilities.

The study by Durham and Reading universities suggests that supposedly more ‘primitive’ areas, such as the cerebellum, were equally important in the expansion of the human brain. These areas may therefore play unexpectedly important roles in human cognition and its disorders, such as autism and dyslexia, say the researchers.

The study is published in the Proceedings of the National Academy of Sciences (PNAS) today.

The frontal lobes are an area in the brain of mammals located at the front of each cerebral hemisphere, and are thought to be critical for advanced intelligence.

Lead author Professor Robert Barton from the Department of Anthropology at Durham University, said: “Probably the most widespread assumption about how the human brain evolved is that size increase was concentrated in the frontal lobes.

"It has been thought that frontal lobe expansion was particularly crucial to the development of modern human behaviour, thought and language, and that it is our bulging frontal lobes that truly make us human. We show that this is untrue: human frontal lobes are exactly the size expected for a non-human brain scaled up to human size.

"This means that areas traditionally considered to be more primitive were just as important during our evolution. These other areas should now get more attention. In fact there is already some evidence that damage to the cerebellum, for example, is a factor in disorders such as autism and dyslexia."

The scientists argue that many of our high-level abilities are carried out by more extensive brain networks linking many different areas of the brain. They suggest it may be the structure of these extended networks more than the size of any isolated brain region that is critical for cognitive functioning.

Previously, various studies have been conducted to try and establish whether humans’ frontal lobes are disproportionately enlarged compared to their size in other primates such as apes and monkeys. They have resulted in a confused picture with use of different methods and measurements leading to inconsistent findings.

The Durham and Reading researchers, funded by The Leverhulme Trust, analysed data sets from previous animal and human studies using phylogenetic, or ‘evolutionary family tree’, methods, and found consistent results across all their data. They used a new method to look at the speed with which evolutionary change occurred, concluding that the frontal lobes did not evolve especially fast along the human lineage after it split from the chimpanzee lineage.

(Source: eurekalert.org)

Filed under frontal lobe cognition intelligence cerebellum prefrontal cortex neuroscience psychology science

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Brain Games are Bogus
A decade ago, a young Swedish researcher named Torkel Klingberg made a spectacular discovery. He gave a group of children computer games designed to boost their memory, and, after weeks of play, the kids showed improvements not only in memory but in overall intellectual ability. Spending hours memorizing strings of digits and patterns of circles on a four-by-four grid had made the children smarter. The finding countered decades of psychological research that suggested training in one area (e.g., recalling numbers) could not bring benefits in other, unrelated areas (e.g., reasoning). The Klingberg experiment also hinted that intelligence, which psychologists considered essentially fixed, might be more mutable: that it was less like eye color and more like a muscle.
It seemed like a breakthrough, offering new approaches to education and help for people with A.D.H.D., traumatic brain injuries, and other ailments. In the years since, other, similar experiments yielded positive results, and Klingberg helped found a company, Cogmed, to commercialize the software globally. (Pearson, the British publishing juggernaut, purchased it in 2010.) Brain training has become a multi-million-dollar business, with companies like Lumosity, Jungle Memory, and CogniFit offering their own versions of neuroscience-you-can-use, and providing ambitious parents with new assignments for overworked but otherwise healthy children. The brain-training concept has made Klingberg a star, and he now enjoys a seat on an assembly that helps select the winners of the Nobel Prize in Physiology or Medicine. The field has become a staple of popular writing. Last year, the New York Times Magazine published a glowing profile of the young guns of brain training called “CAN YOU MAKE YOURSELF SMARTER?”
The answer, however, now appears to be a pretty firm no—at least, not through brain training. A pair of scientists in Europe recently gathered all of the best research—twenty-three investigations of memory training by teams around the world—and employed a standard statistical technique (called meta-analysis) to settle this controversial issue. The conclusion: the games may yield improvements in the narrow task being trained, but this does not transfer to broader skills like the ability to read or do arithmetic, or to other measures of intelligence. Playing the games makes you better at the games, in other words, but not at anything anyone might care about in real life.
Read more

Brain Games are Bogus

A decade ago, a young Swedish researcher named Torkel Klingberg made a spectacular discovery. He gave a group of children computer games designed to boost their memory, and, after weeks of play, the kids showed improvements not only in memory but in overall intellectual ability. Spending hours memorizing strings of digits and patterns of circles on a four-by-four grid had made the children smarter. The finding countered decades of psychological research that suggested training in one area (e.g., recalling numbers) could not bring benefits in other, unrelated areas (e.g., reasoning). The Klingberg experiment also hinted that intelligence, which psychologists considered essentially fixed, might be more mutable: that it was less like eye color and more like a muscle.

It seemed like a breakthrough, offering new approaches to education and help for people with A.D.H.D., traumatic brain injuries, and other ailments. In the years since, other, similar experiments yielded positive results, and Klingberg helped found a company, Cogmed, to commercialize the software globally. (Pearson, the British publishing juggernaut, purchased it in 2010.) Brain training has become a multi-million-dollar business, with companies like Lumosity, Jungle Memory, and CogniFit offering their own versions of neuroscience-you-can-use, and providing ambitious parents with new assignments for overworked but otherwise healthy children. The brain-training concept has made Klingberg a star, and he now enjoys a seat on an assembly that helps select the winners of the Nobel Prize in Physiology or Medicine. The field has become a staple of popular writing. Last year, the New York Times Magazine published a glowing profile of the young guns of brain training called “CAN YOU MAKE YOURSELF SMARTER?

The answer, however, now appears to be a pretty firm no—at least, not through brain training. A pair of scientists in Europe recently gathered all of the best research—twenty-three investigations of memory training by teams around the world—and employed a standard statistical technique (called meta-analysis) to settle this controversial issue. The conclusion: the games may yield improvements in the narrow task being trained, but this does not transfer to broader skills like the ability to read or do arithmetic, or to other measures of intelligence. Playing the games makes you better at the games, in other words, but not at anything anyone might care about in real life.

Read more

Filed under brain intelligence memory memory training working memory psychology neuroscience science

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Brave New Machines
Robots are here to stay. They will be smarter, more versatile, more autonomous, and more like us in many ways. We humans will need to adapt to keep up.
The word “robot” was used for the first time only about 80 years ago, in the play “RUR” by the Czech author Karel Capek. The robots in that book were artificial humans, chemically synthesized using appropriate formulas. Robots at present and in the future will be made largely of inorganic materials, both mechanical and electronic. However, some form of hybridization between electromechanical and biological subsystems is possible and will occur. I believe that the major developments in robotics in the next 100 years will be the following areas:
Robot intelligence: The ability of a robot to solve problems, to learn, to interact with humans and other robots, and related skills are all measures of intelligence. Robots will indeed be increasingly intelligent, because:
- High speed memory, long term storage capacity, and speed of the on-board computers will continue to increase. Futurist Ray Kurzweil has predicted that the capacity of robot brains will exceed that of human brains within the next 20 years.
- Neuroscience is rapidly obtaining better and better models of the information processing ability of the human brain. These models will lead to the development of software to enable robot brains to emulate more and more of the features of the human brain.
- Research in learning will enable robots to learn by imitating humans, from their own mistakes and from their successes.
Human-robot interaction: This is an area of significant research activity at the present time. I believe that during the coming decades robots will be able to interact with humans (and with each other) in increasingly human-like ways, including speech and gestures. Robots will be able to understand the semantic as well as the emotional aspects of speech, so that they will understand the significance of increasing loudness, irritation, affection, and other emotional aspects in spoken utterances, and they will be able to include these aspects in their own speech as well.
Read more

Brave New Machines

Robots are here to stay. They will be smarter, more versatile, more autonomous, and more like us in many ways. We humans will need to adapt to keep up.

The word “robot” was used for the first time only about 80 years ago, in the play “RUR” by the Czech author Karel Capek. The robots in that book were artificial humans, chemically synthesized using appropriate formulas. Robots at present and in the future will be made largely of inorganic materials, both mechanical and electronic. However, some form of hybridization between electromechanical and biological subsystems is possible and will occur. I believe that the major developments in robotics in the next 100 years will be the following areas:

Robot intelligence: The ability of a robot to solve problems, to learn, to interact with humans and other robots, and related skills are all measures of intelligence. Robots will indeed be increasingly intelligent, because:

- High speed memory, long term storage capacity, and speed of the on-board computers will continue to increase. Futurist Ray Kurzweil has predicted that the capacity of robot brains will exceed that of human brains within the next 20 years.

- Neuroscience is rapidly obtaining better and better models of the information processing ability of the human brain. These models will lead to the development of software to enable robot brains to emulate more and more of the features of the human brain.

- Research in learning will enable robots to learn by imitating humans, from their own mistakes and from their successes.

Human-robot interaction: This is an area of significant research activity at the present time. I believe that during the coming decades robots will be able to interact with humans (and with each other) in increasingly human-like ways, including speech and gestures. Robots will be able to understand the semantic as well as the emotional aspects of speech, so that they will understand the significance of increasing loudness, irritation, affection, and other emotional aspects in spoken utterances, and they will be able to include these aspects in their own speech as well.

Read more

Filed under robots robotics intelligence AI human-robot interaction neuroscience science

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IQ loss linked to Schizophrenia genes
People at greater genetic risk of schizophrenia could see a fall in IQ as they age, study shows.
Scientists at the University say IQ decline in those at risk could happen even if they do not develop schizophrenia.
The findings could lead to new research into how different genes for schizophrenia affect brain function over time. Schizophrenia - a severe mental disorder characterised by delusions and by hallucinations - is in part caused by genetic factors.
The researchers used the latest genetic analysis techniques to reach their conclusion on how thinking skills change with age.

Retaining our thinking skills as we grow older is important for living well and independently. If nature has loaded a person’s genes towards schizophrenia, then there is a slight but detectable worsening in cognitive functions between childhood and old age. -Professor Ian Deary (Director of the University of Edinburgh’s Centre for Cognitive Ageing and Cognitive Epidemiology)

Historical data
They compared the IQ scores of more than 1,000 people from Edinburgh.
The people were tested for general cognitive functions in 1947, aged 11, and again when they were around 70 years old.
The researchers were able to examine people’s genes and calculate each subject’s genetic likelihood of developing schizophrenia, even though none of the group had ever developed the illness.
They then compared the IQ scores of people with a high and low risk of developing schizophrenia.
Scientists found that there was no difference at age 11, but people with a greater genetic risk of schizophrenia had slightly lower IQs at age 70.
Those people who had more genes linked to schizophrenia also had a greater estimated fall in IQ over their lifetime than those at lower risk.
Cognitive impact

With further research into how these genes affect the brain, it could become possible to understand how genes linked to schizophrenia affect people’s cognitive functions as they age. -Professor Andrew McIntosh (Centre for Clinical Brain Sciences)

Schizophrenia affects around 1 per cent of the population, often in the teenage or early adult years, and is associated with problems in mental ability and memory.
The study, which was funded by the BBSRC, Age UK, and the Chief Scientist Office, is published in the journal Biological Psychiatry.

IQ loss linked to Schizophrenia genes

People at greater genetic risk of schizophrenia could see a fall in IQ as they age, study shows.

Scientists at the University say IQ decline in those at risk could happen even if they do not develop schizophrenia.

The findings could lead to new research into how different genes for schizophrenia affect brain function over time. Schizophrenia - a severe mental disorder characterised by delusions and by hallucinations - is in part caused by genetic factors.

The researchers used the latest genetic analysis techniques to reach their conclusion on how thinking skills change with age.

Retaining our thinking skills as we grow older is important for living well and independently. If nature has loaded a person’s genes towards schizophrenia, then there is a slight but detectable worsening in cognitive functions between childhood and old age. -Professor Ian Deary (Director of the University of Edinburgh’s Centre for Cognitive Ageing and Cognitive Epidemiology)

Historical data

They compared the IQ scores of more than 1,000 people from Edinburgh.

The people were tested for general cognitive functions in 1947, aged 11, and again when they were around 70 years old.

The researchers were able to examine people’s genes and calculate each subject’s genetic likelihood of developing schizophrenia, even though none of the group had ever developed the illness.

They then compared the IQ scores of people with a high and low risk of developing schizophrenia.

Scientists found that there was no difference at age 11, but people with a greater genetic risk of schizophrenia had slightly lower IQs at age 70.

Those people who had more genes linked to schizophrenia also had a greater estimated fall in IQ over their lifetime than those at lower risk.

Cognitive impact

With further research into how these genes affect the brain, it could become possible to understand how genes linked to schizophrenia affect people’s cognitive functions as they age. -Professor Andrew McIntosh (Centre for Clinical Brain Sciences)

Schizophrenia affects around 1 per cent of the population, often in the teenage or early adult years, and is associated with problems in mental ability and memory.

The study, which was funded by the BBSRC, Age UK, and the Chief Scientist Office, is published in the journal Biological Psychiatry.

Filed under intelligence IQ mental illness schizophrenia genes genetics cognitive function neuroscience science

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Can Boosting Immunity Make You Smarter?
After spending a few days in bed with the flu, you may have felt a bit stupid. It is a common sensation, that your sickness is slowing down your brain. At first blush, though, it doesn’t make much sense. For one thing, flu viruses infect the lining of the airways, not the neurons in our brains. For another, the brain is walled off from the rest of the body by a series of microscopic defenses collectively known as the blood-brain barrier. It blocks most viruses and bacteria while allowing essential molecules like glucose to slip through. What ails the body, in other words, shouldn’t interfere with our thinking.
But over the past decade, Jonathan Kipnis, a neuroimmunologist in the University of Virginia School of Medicine’s department of neuroscience, has discovered a possible link, a modern twist on the age-old notion of the body-mind connection. His research suggests that the immune system engages the brain in an intricate dialogue that can influence our thought processes, coaxing our brains to work at their best.
Read more

Can Boosting Immunity Make You Smarter?

After spending a few days in bed with the flu, you may have felt a bit stupid. It is a common sensation, that your sickness is slowing down your brain. At first blush, though, it doesn’t make much sense. For one thing, flu viruses infect the lining of the airways, not the neurons in our brains. For another, the brain is walled off from the rest of the body by a series of microscopic defenses collectively known as the blood-brain barrier. It blocks most viruses and bacteria while allowing essential molecules like glucose to slip through. What ails the body, in other words, shouldn’t interfere with our thinking.

But over the past decade, Jonathan Kipnis, a neuroimmunologist in the University of Virginia School of Medicine’s department of neuroscience, has discovered a possible link, a modern twist on the age-old notion of the body-mind connection. His research suggests that the immune system engages the brain in an intricate dialogue that can influence our thought processes, coaxing our brains to work at their best.

Read more

Filed under immune system intelligence T cells white blood cells cognitive function neuroscience science

170 notes

Does listening to Mozart really boost your brainpower?

image

It is said that classical music could make children more intelligent, but when you look at the scientific evidence, the picture is more mixed.

You have probably heard of the Mozart effect. It’s the idea that if children or even babies listen to music composed by Mozart they will become more intelligent. A quick internet search reveals plenty of products to assist you in the task. Whatever your age there are CDs and books to help you to harness the power of Mozart’s music, but when it comes to scientific evidence that it can make you more clever, the picture is more mixed. 

The phrase “the Mozart effect” was coined in 1991, but it is a study described two years later in the journal Nature that sparked real media and public interest about the idea that listening to classical music somehow improves the brain. It is one of those ideas that feels plausible. Mozart was undoubtedly a genius himself, his music is complex and there is a hope that if we listen to enough of it, a little of that intelligence might rub off on us.

The idea took off, with thousands of parents playing Mozart to their children, and in 1998 Zell Miller, the Governor of the state of Georgia in the US, even asked for money to be set aside in the state budget so that every newborn baby could be sent a CD of classical music. It’s not just babies and children who were deliberately exposed to Mozart’s melodies. When Sergio Della Sala, the psychologist and author of the book Mind Myths, visited a mozzarella farm in Italy, the farmer proudly explained that the buffalos were played Mozart three times a day to help them to produce better milk.

I’ll leave the debate on the impact on milk yield to farmers, but what about the evidence that listening to Mozart makes people more intelligent? Exactly what was it was that the authors of the initial study discovered that took public imagination by storm?

When you look back at the original paper, the first surprise is that the authors from the University of California, Irvine are modest in their claims and don’t even use the “Mozart effect” phrase in the paper. The second surprise is that it wasn’t conducted on children at all: it was in fact conducted with those stalwarts of psychological studies – young adult students. Only 36 students took part. On three occasions they were given a series of mental tasks to complete, and before each task, they listened either to ten minutes of silence, ten minutes of a tape of relaxation instructions, or ten minutes of Mozart’s sonata for two pianos in D major (K448).

The students who listened to Mozart did better at tasks where they had to create shapes in their minds. For a short time the students were better at spatial tasks where they had to look at folded up pieces of paper with cuts in them and to predict how they would appear when unfolded. But unfortunately, as the authors make clear at the time, this effect lasts for about fifteen minutes. So it’s hardly going to bring you a lifetime of enhanced intelligence.

Brain arousal

Nevertheless, people began to theorise about why it was that Mozart’s music in particular could have this effect. Did the complexity of music cause patterns of cortical firing in the brain similar to those associated with solving spatial puzzles?

More research followed, and a meta-analysis of sixteen different studies confirmed that listening to music does lead to a temporary improvement in the ability to manipulate shapes mentally, but the benefits are short-lived and it doesn’t make us more intelligent.

Then it began to emerge that perhaps Mozart wasn’t so special after all. In 2010 a larger meta-analysis of a greater number of studies again found a positive effect, but that other kinds of music worked just as well. One study found that listening to Schubert was just as good, and so was hearing a passage read out aloud from a Stephen King novel. But only if you enjoyed it. So, perhaps enjoyment and engagement are key, rather than the exact notes you hear.

Although we tend to associate the Mozart effect with babies and small children, most of these studies were conducted on adults, whose brains are of course at a very different stage of development. But in 2006 a large study was conducted in Britain involving eight thousand children. They listened either to ten minutes of Mozart’s String Quintet in D Major, a discussion about the experiment or to a sequence of three pop songs: Blur’s “Country House,” “Return of the Mack,” by Mark Morrison and PJ and Duncan’s “Stepping Stone”. Once again music improved the ability to predict paper shapes, but this time it wasn’t a Mozart effect, but a Blur effect. The children who listened to Mozart did well, but with pop music they did even better, so prior preference could come into it.

Whatever your musical choice, it seems that all you need to do a bit better at predictive origami is some cognitive arousal. Your mind needs to get a little more active, it needs something to get it going and that’s going to be whichever kind of music appeals to you. In fact, it doesn’t have to be music. Anything that makes you more alert should work just as well – doing a few star jumps or drinking some coffee, for instance.

There is a way in which music can make a difference to your IQ, though. Unfortunately it requires a bit more effort than putting on a CD. Learning to play a musical instrument can have a beneficial effect on your brain. Jessica Grahn, a cognitive scientist at Western University in London, Ontario says that a year of piano lessons, combined with regular practice can increase IQ by as much as three points.

So listening to Mozart won’t do you or your children any harm and could be the start of a life-long love of classical music. But unless you and your family have some urgent imaginary origami to do, the chances are that sticking on a sonata is not going to make you better at anything.

(Source: bbc.com)

Filed under brain intelligence Mozart effect brain activity music psychology neuroscience science

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Western University-led research debunks the IQ myth
After conducting the largest online intelligence study on record, a Western University-led research team has concluded that the notion of measuring one’s intelligence quotient or IQ by a singular, standardized test is highly misleading.
The findings from the landmark study, which included more than 100,000 participants, were published in the journal Neuron.
Utilizing an online study open to anyone, anywhere in the world, the researchers asked respondents to complete 12 cognitive tests tapping memory, reasoning, attention and planning abilities, as well as a survey about their background and lifestyle habits.
"The uptake was astonishing," says Owen, the Canada Excellence Research Chair in Cognitive Neuroscience and Imaging and senior investigator on the project. "We expected a few hundred responses, but thousands and thousands of people took part, including people of all ages, cultures and creeds from every corner of the world."
The results showed that when a wide range of cognitive abilities are explored, the observed variations in performance can only be explained with at least three distinct components: short-term memory, reasoning and a verbal component.
No one component, or IQ, explained everything. Furthermore, the scientists used a brain scanning technique known as functional magnetic resonance imaging (fMRI), to show that these differences in cognitive ability map onto distinct circuits in the brain.
With so many respondents, the results also provided a wealth of new information about how factors such as age, gender and the tendency to play computer games influence our brain function.
"Regular brain training didn’t help people’s cognitive performance at all yet aging had a profound negative effect on both memory and reasoning abilities," says Owen.
Hampshire adds, “Intriguingly, people who regularly played computer games did perform significantly better in terms of both reasoning and short-term memory. And smokers performed poorly on the short-term memory and the verbal factors, while people who frequently suffer from anxiety performed badly on the short-term memory factor in particular”.
To continue the groundbreaking research, the team has launched a new version of the tests at http://www.cambridgebrainsciences.com/theIQchallenge
"To ensure the results aren’t biased, we can’t say much about the agenda other than that there are many more fascinating questions about variations in cognitive ability that we want to answer," explains Hampshire.
(Image by Lasse Kristensen/Shutterstock)

Western University-led research debunks the IQ myth

After conducting the largest online intelligence study on record, a Western University-led research team has concluded that the notion of measuring one’s intelligence quotient or IQ by a singular, standardized test is highly misleading.

The findings from the landmark study, which included more than 100,000 participants, were published in the journal Neuron.

Utilizing an online study open to anyone, anywhere in the world, the researchers asked respondents to complete 12 cognitive tests tapping memory, reasoning, attention and planning abilities, as well as a survey about their background and lifestyle habits.

"The uptake was astonishing," says Owen, the Canada Excellence Research Chair in Cognitive Neuroscience and Imaging and senior investigator on the project. "We expected a few hundred responses, but thousands and thousands of people took part, including people of all ages, cultures and creeds from every corner of the world."

The results showed that when a wide range of cognitive abilities are explored, the observed variations in performance can only be explained with at least three distinct components: short-term memory, reasoning and a verbal component.

No one component, or IQ, explained everything. Furthermore, the scientists used a brain scanning technique known as functional magnetic resonance imaging (fMRI), to show that these differences in cognitive ability map onto distinct circuits in the brain.

With so many respondents, the results also provided a wealth of new information about how factors such as age, gender and the tendency to play computer games influence our brain function.

"Regular brain training didn’t help people’s cognitive performance at all yet aging had a profound negative effect on both memory and reasoning abilities," says Owen.

Hampshire adds, “Intriguingly, people who regularly played computer games did perform significantly better in terms of both reasoning and short-term memory. And smokers performed poorly on the short-term memory and the verbal factors, while people who frequently suffer from anxiety performed badly on the short-term memory factor in particular”.

To continue the groundbreaking research, the team has launched a new version of the tests at http://www.cambridgebrainsciences.com/theIQchallenge

"To ensure the results aren’t biased, we can’t say much about the agenda other than that there are many more fascinating questions about variations in cognitive ability that we want to answer," explains Hampshire.

(Image by Lasse Kristensen/Shutterstock)

Filed under IQ intelligence brain function cognitive tests memory neuroscience psychology science

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Tool use by an African grey parrot


Proving that robots aren’t just for people any longer, African grey parrot, Pepper, has learned to drive a robot that was specially designed for him. Pepper, whose wing feathers are clipped to preventing him from flying around his humans’ house and destroying their things, now manipulates the joystick on his riding robot to guide it to where ever he wishes to go.
This robotic “bird buggy” was the brainchild of his human companion, Andrew Gray, a 29-year-old electrical and computer engineering graduate student at the University of Florida.

Tool use by an African grey parrot

Proving that robots aren’t just for people any longer, African grey parrot, Pepper, has learned to drive a robot that was specially designed for him. Pepper, whose wing feathers are clipped to preventing him from flying around his humans’ house and destroying their things, now manipulates the joystick on his riding robot to guide it to where ever he wishes to go.

This robotic “bird buggy” was the brainchild of his human companion, Andrew Gray, a 29-year-old electrical and computer engineering graduate student at the University of Florida.

Filed under parrots tool use robotics intelligence robots neuroscience psychology science

151 notes




Are You Smarter Than Your Grandfather? Probably Not.
In the mid-1980s, James Flynn made a groundbreaking discovery in human intelligence. The political scientist at the University of Otago in New Zealand found that over the last century, in every nation in the developing world where intelligence-test results are on record, IQ test scores had significantly risen from one generation to the next.
“Psychologists faced a paradox: either the people of today were far brighter than their parents or, at least in some circumstances, IQ tests were not good measures of intelligence,” writes Flynn.  
Now, in a new book, Are We Getting Smarter? Rising IQ in the Twenty-First Century, Flynn unpacks his original finding, explaining the causes for this widespread increase in IQ scores, and reveals some new ones, regarding teenagers’ vocabularies and the mental decline of the extremely bright in old age. Ultimately, Flynn concludes that human beings are not smarter—just more modern.
Malcolm Gladwell explains why the “Flynn effect,” as the trend is now called, is so surprising. “If we work in the opposite direction, the typical teenager of today, with an IQ of 100, would have grandparents with average IQs of 82—seemingly below the threshold necessary to graduate from high school,” he wrote in a New Yorker article in 2007. “And, if we go back even farther, the Flynn effect puts the average IQs of the schoolchildren of 1900 at around 70, which is to suggest, bizarrely, that a century ago the United States was populated largely by people who today would be considered mentally retarded.”




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Are You Smarter Than Your Grandfather? Probably Not.

In the mid-1980s, James Flynn made a groundbreaking discovery in human intelligence. The political scientist at the University of Otago in New Zealand found that over the last century, in every nation in the developing world where intelligence-test results are on record, IQ test scores had significantly risen from one generation to the next.

“Psychologists faced a paradox: either the people of today were far brighter than their parents or, at least in some circumstances, IQ tests were not good measures of intelligence,” writes Flynn.  

Now, in a new book, Are We Getting Smarter? Rising IQ in the Twenty-First Century, Flynn unpacks his original finding, explaining the causes for this widespread increase in IQ scores, and reveals some new ones, regarding teenagers’ vocabularies and the mental decline of the extremely bright in old age. Ultimately, Flynn concludes that human beings are not smarter—just more modern.

Malcolm Gladwell explains why the “Flynn effect,” as the trend is now called, is so surprising. “If we work in the opposite direction, the typical teenager of today, with an IQ of 100, would have grandparents with average IQs of 82—seemingly below the threshold necessary to graduate from high school,” he wrote in a New Yorker article in 2007. “And, if we go back even farther, the Flynn effect puts the average IQs of the schoolchildren of 1900 at around 70, which is to suggest, bizarrely, that a century ago the United States was populated largely by people who today would be considered mentally retarded.”

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Filed under intelligence IQ tests Flynn effect psychology neuroscience science

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