I suppose if there is a lesson here
it is that brain training needs to be a life long practice and that mental training
once done remains with you. We still have
a poor understanding of how all this works, although we seem to now be on track
to figuring it all out.
The real take home is to get in the
habit of doing lots of problem sets, even if they are easy (they actually give you
a rest) and write 500 words a day on work not requiring problem sets. Both actions serve to train the brain.
That may sound like a lot of effort,
but habit will make the effort disappear and the skills are worth every ounce of
sweat.
A Little Practice Can Change the Brain in a Lasting Way
Released: 6/27/2011 8:00 AM EDT
Newswise — A little practice goes a long way, according to researchers
at McMaster University, who have found the effects of practice on the brain
have remarkable staying power.
The study, published this month in the journal Psychological
Science, found that when participants were shown visual patterns—faces, which
are highly familiar objects, and abstract patterns, which are much less
frequently encountered—they were able to retain very specific information about
those patterns one to two years later.
“We found that this type of learning, called perceptual learning, was
very precise and long-lasting,” says Zahra Hussain, lead author of the study
who is a former McMaster graduate student in the Department of Psychology,
Neuroscience & Behaviour and now a Research Fellow at the University of Nottingham .
“These long-lasting effects arose out of relatively brief experience with the
patterns – about two hours, followed by nothing for several months, or years.”
Over the course of two consecutive days, participants were asked to
identify a specific face or pattern from a larger group of images. The task was
challenging because images were degraded—faces were cropped, for example—and
shown very briefly. Participants had difficulty identifying the correct images
in the early stages, but accuracy rates steadily climbed with practice.
About one year later, a group of participants were called back and
their performance on the task was re-measured, both with the same set of items
they’d been exposed to earlier, and with a new set from the same class of
images. Researchers found that when they showed participants the original
images, accuracy rates were high. When they showed participants new images,
accuracy rates plummeted, even though the new images closely resembled the
learned ones, and they hadn’t seen the original images for at least a year.
“During those months in between visits to our lab, our participants
would have seen thousands of faces, and yet somehow maintained information
about precisely which faces they had seen over a year ago,” says Allison
Sekuler, co-author of the study and professor and Canada Research Chair in
Cognitive Neuroscience in the Department of Psychology, Neuroscience &
Behaviour. “The brain really seems to hold onto specific information, which
provides great promise for the development of brain training, but also raises
questions about what happens as a function of development. How much information
do we store as we grow, older and how does the type of information we store
chage across our lifetimes? And what is the impact of storing all that
potentially irrelevant information on our ability to learn and remember more
relevant information?”
She and her colleagues point to children today who are growing up in a
world in which they are bombarded with sensory information, and wonders what
will happen.
“We don’t yet know the long-term implications of retaining all this
information, which is why it is so important to understand the physiological
underpinnings,” says Patrick Bennett, co-author and professor and Canada
Research Chair in Vision Science in the Department of Psychology, Neuroscience
& Behaviour. “This result warrants further study on how we can optimize our
ability to train the brain to preserve what would be considered the most
valuable information.”
The research was funded by the Natural Sciences and Engineering
Research Council (NSERC) and the Canada Research Chair program.
A pdf of the study can be found at:
McMaster University, one of four Canadian universities listed among the
Top 100 universities in the world, is renowned for its innovation in both learning
and discovery. It has a student population of 23,000, and more than 140,000
alumni in 128 countries.
No comments:
Post a Comment