Thursday, May 21, 2015

Decision making :learning from one’s mistakes.

Teenagers are notorious for poor decision-making. Of course that is inevitable, given that their brains are still developing, and they have had relatively little life experience to show them how to predict what works and what doesn’t. Unfortunately, what doesn’t work may have more emotional appeal, and most of us at any age are more susceptible to our emotions than cold, hard logic.
Seniors also are prone to poor decision-making if senility has set it. Unscrupulous people take advantage of such seniors because a brain that is deteriorating has a hard time making wise decisions.
In between teenage and senility is when the brain is at its peak for good decision making. Wisdom comes with age, up to a point. Some Eastern cultures venerate their old people as generally being especially wise. After all, it you live long enough, and are still mentally healthy, you ought to make good decisions because you have a lifetime of experience to teach you what future choices are likely to work and which are not.
Much of that knowledge comes from learning from one’s mistakes. On the other hand, some people, regardless of age, can’t seem to learn from their mistakes. Most of the time the problem is not stupidity but a flawed habitual process by which one is motivated to make wise decisions and evaluate options. Best of all is learning from somebody else’s mistakes, so you don’t have to make them yourself.
Learning from your mistakes can be negative, if you fret about it. Learning what you can do to avoid repeating a mistake is one thing, but dwelling on it erodes one’s confidence and sense of self worth. I can never forget the good advice I read from, of all people, T. Boone Pickens. He was quoted in an interview as saying that he was able to re-make his fortune on multiple occasions because he didn’t dwell on losing the fortunes. He credited that attitude to his college basketball coach who told the team after each defeat, “Learn from your mistakes, but don’t dwell on them. Learn from what you did right and do more of that.”
It would help if we knew how the brain made decisions, so we could train it to operate better. “Decision neuroscience” is an emerging field of study aimed at how learning how brains make decisions and how to optimize the process. Neuroscientists seemed to have honed in on two theories, both of which deal with how the brain handles the processing of alternate options to arrive at a decision.
One theory is that each option is processed in its own competing pool of neurons. As processing evolves, the activity in each pool builds up and down as each pool competes for dominance. At some point, activity builds up in one of the pools to reach a threshold, in winner-take-all fashion, to allow the activity in that pool to dominate and issue the appropriate decision commands to the parts of the brain needed for execution. As one possible example, two or more pools of neurons separately receive input that reflects the representation of different options. Each pool sends an output to another set of neurons that feed back either excitatory or inhibitory influences, thus providing a way for competition among pools to select the pool that eventually dominates because it has built up more impulse activity than the others.

The other theory is based on guided gating wherein input to pools of decision-making neurons is gated to regulate how much excitatory influence can accumulate in each given pool. [i]The specific routing paths involve inhibitory neurons that shut down certain routes, thus preferentially routing input to a preferred accumulating circuit. The route is biased by estimated salience of each option, current emotional state, memories of past learning, and the expected reward value for the outcome of each option.
These decision-making possibilities involve what is called “integrate and fire.” That is, input to all relevant pools of neurons accumulates and leads to various levels of firing in each pool. The pool firing the most is most likely to dominate the output, that is, the decision.
However circuits make decisions, there is considerable evidence that nerve impulse representations for each given choice option simultaneously code for expected outcome and reward value. These value estimates update on the fly. Networks containing these representations compete to arrive at a decision.
Any choice among alternative options is affected by how much information for each option the brain has to work on. When the brain is consciously trying to make a decision, this often means how much relevant information the brain can hold in working memory. Working memory is notoriously low-capacity, so the key becomes remembering the sub-sets of information that are the most relevant to each option. Humans think with what is in their working memory. Experiments have shown that older people are more likely to hold the most useful information in working memory, and therefore they can think more effectively. The National Institute of Aging began funding decision-making research in 2010 at Stanford University’s Center on Longevity. Results of their research are showing that older people often make better decisions than younger people.
As one example, older people are more likely to make rational cost-benefit analyses. Older people are more likely to recognize when they have made a bad investment and walk away rather than throwing more good money after bad.
A key factor seems to be that older people are more selective about what they remember. For example, one study from the Stanford Center compared the ability of young and old people to remember a list of words. Not surprisingly, younger people remembered more words, but when words were assigned a number value, with some words being more valuable than others, older people were better at remembering high-value words and ignoring low-value words. It seems that older people selectively remember what is important, which should make it easier to make better decisions.
Decision-making skills are important of learning achievement in school. Students need to know how to focus in general, and focus on what is most relevant in particular. They are not learning that skill, and their multi-tasking culture is teaching them many bad habits.
Those of us who care deeply about educational development of youngsters need to push our schools to address the thinking and learning skills of students. "Teaching to the test" detracts from time spent in teaching what matters most. Today's culture of multi-tasking is making matters worse. Children don't learn how to attend selectively and intensely to the most relevant information, because they are distracted by superficial attention to everything. Despite their daily use of Apple computers and smart phones, only one college student out of 85 could draw the Apple logo correctly.[iii]
Memory training is generally absent from teacher training programs. Despite my locally well-publicized experience in memory training, no one in the College of Education at my university has ever asked me to share my knowledge with their faculty or with pre-service teachers. The paradox is that teachers are trained to help students remember curricular answers for high-stakes tests. What could be more important than learning how to decide what to remember and how to remember it? And we wonder why student performance is so poor?

Thursday, April 30, 2015

Music Effects on Cognitive Function of the Elderly


Whether the music is orchestral, rock, country, or jazz, most seniors like to listen to some kind of music. Music can soothe or energize, make us happy or sad, but the kind we like to hear does something that can be positively reinforcing or otherwise we would not listen to it. As my 80-year-old jazz trumpeter friend, Richard Phelps, recently said at his birthday party, "Where there is life there is music. Where there is music, there is life."
Relatively little research has been done on the effects of music on brain function in older people. But one study recently reported the effects in older adults of background music on brain processing speed and two kinds of memory (episodic and semantic). The subjects were not musicians and had an average age of 69 years.
The music test conditions were: 1) no music control, 2) white noise control, 3) a Mozart recording, and 4) a Mahler recording. All 65 subjects were tested in counter-balanced order in all four categories. The music was played at modest volume as background before and during performance of the cognitive tasks, a mental processing speed task and the two memory tasks. The episodic memory task involved trying to recall a list of 15 words immediately after a two-minute study period. The semantic memory task involved word fluency in which subjects wrote as many words as they could think of beginning with three letters of the alphabet.
Processing speed performance was faster while listening to Mozart than with the Mahler or white noise conditions. No improvement in the Mahler condition was seen over white noise or no music.
Episodic memory performance was better when listening to either type of music thatn while hearing white noise or no music. No difference was noted between the two types of music.
Semantic memory was better for both kinds of music than with white noise and better with Mozart that with no music.
Recognizing that emotions could be a relevant factor, the experimenters analyzed a mood questionnaire comparing the two music conditions with white noise. Mozart generated higher happiness indicators than did Mahler or white noise. Mahler was rated more sad than Mozart and comparable to white noise.
Thus, happy, but not sad, music correlated with increased processing speed. The researchers speculated that happy subjects were more around and alert.
Surprisingly, both happy and sad music enhanced both kinds of memory over the white noise or silence condition. But it is not clear if this observation is generally applicable. The authors did mention without emphasis that the both kinds of music were instrumental and lacked loudness or lyrics that could have been distracting and thus impair memory. I think this point is substantial. When lyrics are present, the brain is dragged into trying to hear the words and thinking about their meaning. These thought processes would surely interfere with trying to memorize new information or recall previous learned material.
A point not considered at all is personal preference for a certain types of music. There are people who don't like classical music, and the data in this study could have been made "noisy" if enough of the 65 people disliked classical music and were actually distracted by it. In other words, the effects noted in this study might have been magnified if the subjects were allowed to hear their preferred music.
My take-home lesson was actually formed over five decades ago when I listed to jazz records while plowing my way through memorizing a veterinary medical curriculum. Then, I thought that the benefit was stress reduction (veterinary school IS stressful and happy jazz certainly reduces stress). Now perhaps I see that frequent listening to music that was pleasurable for me might have actually helped my memory capability. If you still have doubts you might want to check my latest blog post, "Happy thoughts can make you more competent" (http://thankyoubrain.blogspot.com/2015/01/happy-thoughts-can-make-you-more.html).
Anyway, now that I am in the elderly category, I see there is still reason to listen to the music I like. Music can be therapy for old age.


“People haven't always been there for me but music always has.”
    —Taylor Swift



"Memory Medic's" latest book is "Improve Your Memory for a Healthy Brain. Memory Is the Canary in Your Brain's Coal Mine." It is available in inexpensive e-book form at Amazon or in all formats at Smashwords.com.


Source:

Bottiroli, Sara et al. (2014). The cognitive effects of listening to background music on older adults: processing speed improves with upbeat music, while memory seems to benefit from both upbeat and downbeat music. Frontiers in Aging Neuroscience. Oct. 15. doi: 10.3389/fnagi.2014.00284.



Wednesday, April 22, 2015

Affective memory

The term ‘affective memory’ was intended to include emotional and sensory phenomena, and to differentiate them from intellectual, volitional or rational ones.

It is basic in functional perspective. Pain and pleasure are information that control behavior.

Boleslavsky divided affective memory into two categories: analytic memory, and the memory of feeling. Analytic memory is trained and developed by exercise involving imaginary objects.

The second category that Boleslavsky described was the memory of feeling, which can be called emotional memory.

The term affective memory was taken by Stanislavsky from a work by the French psychologist Theodule Ribot, The Psychology of the Emotions.

Strasberg in turn defined ‘affective memory’ as a broad category containing both ‘sense’ memory and ‘emotional’ memory. He states, ‘pertains specifically to the more intense reactions of an emotional response’.
Affective memory

Friday, April 3, 2015

What Happened to The Wonder of Learning?

I read a lot about educational theory and research so that I can share "best practices" for better ways to teach and learn with my readers. Shared here are the ideas in a most informed and intelligent article on learning, written by Catherine L'Ecuyer, a Canadian lawyer with an MBA now living in Barcelona, Spain.[1]The article explains the fundamental importance for motivating children to learn: the sense of wonder.
This notion resonated with me, because I know it to be true from personal experience. To this
day, I have vivid memories of the excitement I had as a six-year old in Fort Myers, Florida, as I walked to my first day of school. Yes, in those days it was safe for kids to walk several blocks to school unattended. And yes, there was, at least for me, no kindergarten, pre-kindergarten, or day care.
Sauntering to school, I became entranced with all the new sights and sounds, stopping several times along the way to savor a new experience. A vivid memory was my stop at a beautiful flower I had never seen before. I physically probed the bloom, astonished at the elegant expression of nature. On that day, the prospect of school was a most joyous opportunity. It did not take long for school's pedantic nature, drills, and drudgery to squelch my sense of wonder. It was only in late middle school that my sense of wonder was resurrected, and that only occurred because I had a crush on my teacher and wanted to impress her with my learning. For many children, their inherent sense of wonder that school stamps out never returns.
Clearly, a child's state of mind affects how learning and the school environment are regarded. Among the more relevant states is stimulus seeking. That is why for example I wanted to explore the innards of that beautiful flower. Then too, there is the basic human responsiveness to positive reinforcement. If a learning experience is perceived as wondrous, it is perceived as good and beneficial, serving as incentive to have other such learning experiences. It obviously helps for a child to be aware of such perceptions.
L'Ecuyer adds the sense of wonder to the list of fundamentals of the motivation to learn. She makes the point that wonder is innate in children, especially when they are young. As a child matures, much of this sense of wonder can fade. For some people, the more they learn, the less wondrous the world seems. Among adults, scientists seem to be an exception (to a biologist, pond scum is beautiful and wondrous).
L'Ecuyer argues that modern educational paradigms are behaviorist and conflict with nurturing the sense of wonder in children. By behaviorist, she means that the guiding principle of teaching is that the environment directs learning with its emphasis on teachers, curriculum, and high-stakes testing. The popular mantra is that learning is better when it is provided earlier and in abundance. Curricula are designed to bombard students with information and testing. Do we really think that is motivating?
The problem is that children can be overwhelmed by too much too soon. Yet government policy increasingly advocates pre-kindergarten. Young developing brains do not respond well to too much stimulus, too much curriculum, and too much high-stakes testing. Children become preconditioned to expect high levels of stimulation, leading to attentiveness disorders. Children become passive and bored. The associated loss of the sense of wonder diminishes a child's motivation to cope with all this stimulus and pressure.
L'Ecuyer cites convincing research showing that compared to adults children learn at a slower pace than adults. They need more calm and silence. They are more intrigued by mystery. They need to trust in a human attachment figure, most commonly a caring mother.  Unfortunately, our educational culture assumes that we don't teach enough curriculum and don't demand enough of children. Children learn to pass tests, not love learning. Our multi-tasking culture only adds to sensory and cognitive overload that interferes with learning and mental performance in general. The family breakdown in our culture diminishes a child's trust in primary caregivers and degrades attachment to them. Schools cannot provide such trust and attachment. Nor can pre-kindergarten or day-care.
These are basic reasons why I push for a reform in education that stresses teaching learning skills to young children, as opposed to the domination of traditional curriculum and excessive high-stakes testing. I am writing such a book now. When children have good learning skills, learning stops being an onerous chore. The "Learning Skills Cycle" that I advocate begins with motivation, and motivation begins with a sense of wonder.[2]
Educational policy makers seem confused about why so many students fall behind. Every year, over 1.2 million students drop out of high school in the United States. That’s a student every 26 seconds – or 7,000 a day. About 25% of high school freshmen fail to graduate from high school on time.[3]At the college level, only 59% of full-time four-year college students graduate within six years.[4]Most college data use a six-year limit because so many college students can't finish in the usual four years.
Over the last 40 years, all the educational fads we have tried apparently do not work. In this time we have had such high-profile government initiatives as "Goals 2000, New Math, Nation at Risk, No Child Left Behind, Race to the Top, Common Core, Next Generation Science Standards, Charter Schools, and Head Start." Where is the evidence that any of this works? SAT scores have not improved, even declining in some years, while funding for educational has increased dramatically, on the order depending on the state of 200%.[5]
Despite much ballyhoo and funding, Head Start's effects wash out within a few years. Nonetheless, many states think Head Start did not start early enough and that what is needed is government funded pre-kindergarten. Nobody considers what this too-soon, too-much, too stressful education does to childhood sense of wonder and motivation to learn.
The key question asked by L'Ecuyer is this: Are today's educational paradigms and policies promoting the sense of wonder and motivation to learn or squelching it? While all our government programs to improve education seem valuable, the results say otherwise. Teaching is now driven by high-stakes testing. While accountability is necessary, when high-stakes testing becomes the focus of education, it poisons the learning atmosphere. The law of unintended consequences applies. Today's educational environment suffocates the wonder and love of learning for its own sake.

# # #

Dr. Klemm is author of two books on learning: Memory Power 101 and Better Grades, Less Effort. Reviews and information can be found at his web site, WRKlemm.com



[1]L'Ecuyer, Catherine. 2014. The wonder approach to learning. Frontiers in Human Neuroscience. Volume 8, October 6. doi:10.3389/fnhum.2014.00764.
[2] Klemm, W. R. 2014. Shift Away from Teaching to the Test: A Better Way to Improve Test Scores. The STATellite, 59 (1): 10-13. http://c.ymcdn.com/sites/www.statweb.org/resource/collection/ED7F18DF-2934-4034-BDF2-CF81CADE155A/WinterSTATellite2014.pdf
[3] https://www.dosomething.org/facts/11-facts-about-high-school-dropout-rates
[4] http://nces.ed.gov/fastfacts/display.asp?id=40
[5]http://www.cato.org/publications/policy-analysis/state-education-trends


Monday, March 16, 2015

Emotional recall

Emotional recall is a psychological trick, the way most actor use it. The person think of something and it calls back an emotional memory. Emotional recall creates changes in the musculature that are sufficiently visible for the camera to pickup.

The emotion should really come out do what happens in the scene. The process of emotional recall is sensory. The person describe the even through five senses, in the first person, as though it is happening.

The person remember certain experiences which one moved, which stimulated an emotion inside, which had deep meaning for the himself at the time. Emotional recall may be triggered by a sensory experience but emotions come from a much wider and more complex range of experience than physical sensation.

This experience can be happy one. It can be a sad one. It can be a complex experience that produced mixed emotions.
Emotional recall

Wednesday, February 25, 2015

Study Smart Beats Study Hard

Keep your "nose to the grindstone" is the advice we often tell young people is an essential ingredient of learning difficult tasks. A joke captures the matter with the old bromide for success, "Keep your eye on the ball, your ear to the ground, your nose to the grindstone, your shoulder to the wheel: Now try to work in that position."


Over the years of teaching, I have seen many highly conscientious students work like demons in their study yet don't seem to learn as much as they should for all the effort they put in. Typically, it is because they don't study smart.
In an earlier post, I described a learning strategy wherein a student should spend short (say 15-20 minutes) of intense study followed immediately by a comparable rest period of "brain-dead" activity where they don't engage with intense stimuli or a new learning task. The idea is that during brain down-time the memory of just-learned material is more likely to be consolidated into long-term memory because there are no mental distractions to erase the temporary working memory while it is in the process of consolidation.
Now, new research suggests that too much nose-to-the-grindstone can impair learning. Margaret Schlichting, a graduate student researcher, and Alison Preston, an associate professor of psychology and neuroscience at the University of Texas tested the effect of mental rest with a learning task of remembering two sets of a series of associated photo pairs.  Between the two task sets, the participants rested and were allowed to think about whatever they wanted. Not surprisingly, those who used the rest time to reflect on what they had just learned were able to remember more upon re-test. Obviously, in this case, the brain is not really resting, as it is processing (that is, rehearsing) the new learning. But the brain is resting in the sense that new mental challenges are not encountered.
The university press release quotes the authors as saying, "We've shown for the first time that how the brain processes information during rest can improve future learning. We think replaying memories during rest makes those earlier memories stronger, not just impacting the original content, but impacting the memories to come." Despite the fact that this concept has been anointed as a new discovery in a prestigious science journal, the principle has been well-known for decades. I have explained this phenomenon in my memory books as the decades-old term of "interference theory of memory,"
What has not been well understood among teachers is the need to alter teaching practices to accommodate this principle. A typical class period involves teachers presenting a back-to-back succession of highly diverse learning objects and concepts. Each new topic interferes with memory formation of the prior topics. An additional interference occurs when a class period is disrupted by blaring announcements from the principal's office, designed to be loud to command attention (which has the effect of diverting attention away from the learning material). The typical classroom has a plethora of other distractions, such as windows for looking outside and multiple objects like animals, pictures, posters, banners, and ceiling mobiles designed to decorate and enliven the room. The room itself is a major distraction.
Then, to compound the problem, the class bell rings, and students rush out into the hall for their next class, socializing furiously in the limited time they have to get to the next class (on a different subject, by a different teacher, in a differently decorated classroom). You can be sure, little reflection occurs on the academic material they had just encountered.
The format of a typical school day is so well-entrenched that I doubt it can be changed. But there is no excuse for blaring loudspeaker announcements during the middle of a class period. Classrooms do not have to be decorated. A given class period does not have to be an information dump on overwhelmed students. Short periods of instruction need to be followed by short, low-key, periods of questioning, discussion, reflection, and application of what has just been taught. Content that doesn't get "covered" in class can be assigned as homework—or even exempted from being a learning requirement. It is better to learn a few things well than many things poorly. Indeed, this is the refreshing philosophy behind the new national science standards known as "Next Generation Science Standards."
Give our kids a rest: the right kind of mental rest.

Sources:

http://www.nextgenscience.org/

http://scicasts.com/neuroscience/2065-cognitive-science/8539-study-suggests-mental-rest-and-reflection-boost learning.

Schlicthing, M. L., and Preston, A. R. (2014). Memory reactivation during rest supports upcoming learning of related content. Proc. Nat. Acad. Science. Published ahead of print, Oct. 20.


Dr. Klemm's latest book, available at most retail outlets, is "Mental Biology. The New Science of How the Brain and Mind Relate" (Prometheus). See reviews at http://thankyoubrain.com

Thursday, February 19, 2015

Visualize pleasant experience to sharpen your memory

Visualization of the information as it is while reading or listening can help boost the memorizing power. If this is something which is often overlooked this can be added to the mainframe of thinking.

Visualize some pleasant experiences that had recently. The visualization will be more effective if the person can get the sensations at the time, the feelings, the emotions, the smells, the sounds, the sights, the colors.

This will freshen the mind and make it easier to retain information.

Visualization which is used of imagination and memory, remembering, or imagining pleasant experiences activates many of the same sensory, motor, emotional and cognitive circuits that fired during the ‘real’ pleasant experience.
Visualize pleasant experience to sharpen your memory